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  • 1. Koski, Timo
    et al.
    Sandström, Erik
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Business Development and Entrepreneurship.
    Estimating Research Productivity from a Zero-Truncated Distribution2011In: PROCEEDINGS OF ISSI 2011: THE 13TH CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, VOLS 1 AND 2, 2011, p. 747-755Conference paper (Refereed)
  • 2.
    Koski, Timo
    et al.
    KTH, School of Engineering Sciences (SCI), Mathematics (Dept.).
    Sandström, Erik
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution2016In: Journal of Informetrics, ISSN 1751-1577, E-ISSN 1875-5879, Vol. 10, no 4, p. 1143-1152Article in journal (Refereed)
    Abstract [en]

    Measures of research productivity (e.g. peer reviewed papers per researcher) is a fundamental part of bibliometric studies, but is often restricted by the properties of the data available. This paper addresses that fundamental issue and presents a detailed method for estimation of productivity (peer reviewed papers per researcher) based on data available in bibliographic databases (e.g. Web of Science and Scopus). The method can, for example, be used to estimate average productivity in different fields, and such field reference values can be used to produce field adjusted production values. Being able to produce such field adjusted production values could dramatically increase the relevance of bibliometric rankings and other bibliometric performance indicators. The results indicate that the estimations are reasonably stable given a sufficiently large data set.

  • 3.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Aalto University Bibliometric Report 2003-20072009Report (Other academic)
  • 4.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Arbetslivsforskningens framtid i bibliometriskt perspektiv2016In: På jakt efter framtidens arbete: Utmaningar i arbetets organisering och forskning / [ed] Åke Sandberg, Tankesmedjan Tiden , 2016, p. 188-197Chapter in book (Other academic)
    Abstract [sv]

    När svensk arbetsorganisatorisk forskning nyligen utvärderades var resultateten blandning av tillförsikt och oro för verksamheten. Visst det går bra,men tveksamheter kring förnyelseverksamheten ställde allvarliga frågorför framtiden. Sverige ligger sällsynt bra inom delområden av arbetslivsforskningsom har stabil tillväxt och som ger gott resultat i form kollegialuppmärksamhet. Mycket talar för att svensk forskning har förankrat sigi ett antal starka paradområden och att detta inneburit inlåsning tillområden som möjligen kan komma att tappa i betydelse på längre sikt.Nya delområden inom arbetslivsforskningen täcks inte alls av de svenska forskarna eller i alla fall inte i förväntad utsträckning. Den svenska forskningsportföljen är relativt koncentrerad och riskerar därför att bli en black om foten om och när ordentliga framsteg görs inom nya områden.

  • 5.
    Sandström, Ulf
    Linköping University.
    Beställarforskning2004In: Forskningspolitikk, ISSN 0333-0273, E-ISSN 0805-8210, no 2, p. 20-21Article in journal (Other (popular science, discussion, etc.))
  • 6.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Bibliometric Evaluation of Research Programs: A Study of Scientific Quality2009Report (Other academic)
  • 7.
    Sandström, Ulf
    Linköping Univ, ISAK, S-58183 Linköping, Sweden.
    Cognitive Bias in Peer Review: a New Approach2009In: PROCEEDINGS OF ISSI 2009 - 12TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, VOL 2 / [ed] Larsen, B; Leta, J, 2009, p. 742-746Conference paper (Refereed)
    Abstract [en]

    The concept of cognitive similarity, developed by Travis and Collins (1991), is the starting point for this paper. We suggest that cognitive similarity is detectable through bibliometric analysis using bibliographic coupling (Kessler, 1963) or, as an alternative, noun phrases in title and abstract. Connected to this hypothesis is the possibility of cognitive bias in peer review. If academics tend to give higher scores to research with which the reviewer has a cognitive similarity there is a situation of cognitive bias. The design of the research project is described and the data sources available are discussed. With data on applicants and reviewers, and complemented with bibliometric identification of each individuals publications, this project will potentially give an essential contribution to our understanding of the peer review process.

  • 8.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Combining Curriculum Vitae and Bibliometric Analysis: Mobility, Gender and Research Performance2009In: Research Evaluation, ISSN 0958-2029, E-ISSN 1471-5449, Vol. 18, no 2, p. 135-142Article in journal (Refereed)
    Abstract [en]

    This paper demonstrates the benefits of combining curriculum vitae studies with advanced bibliometrics. Based on data from 326 CVs within one broad medical subject area we perform a cluster analysis of CV data. Data reduction produces four different groups of scientists: 1) mobile, 2) immobile, 3) excellent and 4) entrepreneurial. While it is clear that the most mobile and the least mobile researchers represent opposites also in citation performance we should acknowledge that for the large majority, with a low and medium mobility, there is no linear pattern of performance. The paper points at a double process where there are on the one hand selection processes at universities picking out 'the winners' and on the other hand self selection processes where researchers enhance their own performance by being mobile. 

  • 9.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Estimating Productivity from a Zero-Truncated Distribution2011In: Proceedings of the International Conference on Scientometrics and Informetrics / [ed] Ed Noyons, Patrick Ngulube and Jacqueline Leta, 2011Conference paper (Refereed)
  • 10.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Evaluating research portfolios, a method and a case2017In: STI 2017 - Science, Technology and Innovation indicators: Open indicators: innovation, participation and actor-based STI indicators Paris 2017, 2017Conference paper (Refereed)
    Abstract [en]

    Evaluating whether a portfolio of funded research projects (of a research council), or a portfolio of research papers (the output of a university) is relevant for science and for society required two-dimensional mapping of the project portfolio: (i) projecting the portfolio on a science map showing how the portfolio fits into and possibly shapes the research fronts, and (ii) projecting the portfolio on a map of societal challenges, showing where the portfolio links to societal problem solving or innovation. This requires evaluating in two different 'languages': a technical language relating projects to the research front, and a societal language relating the projects to societal challenges. In this paper, we demonstrate a method for doing so, using the SMS-platform. The advantage is that the method is much less dependent on subjective classifications by single experts or a small group of experts, and that it is rather user-friendly Evaluating research portfolios, a method and a case. Available from:

  • 11.
    Sandström, Ulf
    Linköping University.
    Forskningsdebattens vad, vem, hur och varför2006Report (Other academic)
  • 12.
    Sandström, Ulf
    Linköping University.
    Forskningspolitikens blinda fläck2004In: Forskningspolitikk, ISSN 0333-0273, E-ISSN 0805-8210, no 3, p. 19-19Article in journal (Other (popular science, discussion, etc.))
  • 13.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Globalization and research2007In: NordForsk Magasin, ISSN 1890-0429, Vol. 1, no 1, p. 11-13Article in journal (Other academic)
  • 14.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Influence of cognitive distance on grant decisions2017In: STI 2017 - Science, Technology and Innovation indicators: Open indicators: innovation, participation and actor-based STI indicators, 2017Conference paper (Refereed)
    Abstract [en]

    The selection of grant applications generally is based on peer and panel review, but as shown in many studies, the outcome of this process does not only depend on the scientific merit or excellence, but also on social factors, and on the way the decision-making process is organized. A major criticism on the peer review process is that it is inherently conservative, with panel members inclined to select applications that are line with their own theoretical perspective. In this paper we define 'cognitive distance' and operationalize it. We apply the concept, and investigate whether it influences the probability to get funded.

  • 15.
    Sandström, Ulf
    Linköping University.
    Interdisciplinär forskning2005In: Tvärsnitt, ISSN 0348-7997, no 2, p. 25-26Article in journal (Other academic)
  • 16.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Nanometrics Monitoring System2011Report (Other academic)
  • 17.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Om konsten att fördela basmedel till universiteten2007In: Expansion och kontraktion: utmaningar för högskolesystemet och utbildningsforskare / [ed] Berit Askling, Rita Foss Lindblad och Gun-Britt Wärvik, Stockholm: Vetenskapsrådet , 2007, p. 72-86Chapter in book (Refereed)
  • 18.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM).
    PANEL COMPOSITION AS PATHWAY TO IMPACT: DO WE NEED STAKEHOLDER EXPERTISE TO SELECT RELEVANT MISSION-ORIENTED PROJECTS?2019In: Journal for research and technology policy evaluation, ISSN 1726-6629, Vol. 48, p. 68-73Article in journal (Refereed)
    Abstract [en]

    I t is often argued that the presence of stakeholders in review panels may improve the selection of societal relevant research projects. In this paper, we investigate whether the composition of panels indeed matters. More precisely, when stakeholders are in the panel, does that result in more positive evaluation of proposals of relevance to that stakeholder? We investigate thisfor the gender issues domain, and show that this is the case. When stakeholders are present, the relevant projects obtain a more positive evaluation and consequently a higher score. If these findingscan be generalised, they are an important insight for the creation of pathways to and conditions for impact.

  • 19.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Business Development and Entrepreneurship (Closed 20130101).
    Plasticity and Bias in Peer Assessment: Critical Perspectives from Bibliometrics2011In: PROCEEDINGS OF ISSI 2011: THE 13TH CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, 2011, p. 742-746Conference paper (Refereed)
    Abstract [en]

    This research paper in progress discusses some of the common criticisms of peer review: Costs and Robustness, Nepotism (conflict of interest), Sexism and Cognitive Bias. Attention is given to the fact that much of the research reported fails on a crucial point: The use of bibliometrics as a correlate for the grading and ranking done by granting or evaluation committees (ad hoc or standing committees). The full paper will extend the analysis using data from a selection of finished projects and assessments. Results indicate that there are systemic problems regarding peer review: Firstly, the positive bias in university assessments based on ad hoc committees. Problems circulate around the absence of robust benchmarks and the ad hoc selection of experts. Secondly, the role of cognitive distance points to the power mechanisms in selection processes for finding relevant reviewers. Thirdly, the low levels of peer's performance (in bibliometric respect) indicate that selection of peers is no longer to search for the best possible peer, but instead, the pragmatic peer.

  • 20.
    Sandström, Ulf
    Linköping University.
    Productivism in peer review2006In: International conference on science and technology indicators,2006, 2006, p. 121-123Conference paper (Refereed)
  • 21.
    Sandström, Ulf
    Linköping University, Dept. ISAK, SE-58183 Linköping, Sweden.
    Research Quality and Diversity of Funding: A Model for Relating Research Money to Output of Research2009In: Scientometrics, ISSN 0138-9130, E-ISSN 1588-2861, Vol. 72, no 2, p. 341-349Article in journal (Refereed)
    Abstract [en]

    We analyze the relation between funding and output using bibliometric methods with field normalized data. Our approach is to connect individual researcher data on funding from Swedish university databases to data on incoming grants using the specific personal ID-number. Data on funding include the person responsible for the grant. All types of research income are considered in the analysis yielding a project database with a high level of precision. Results show that productivity can be explained by background variables, but that quality of research is more or less un-related to background variables.

  • 22.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics (Closed 20130101).
    Resurser för citeringar2008Report (Other academic)
  • 23.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM).
    Självständighet – ny indikator för forskningskvalitet2019In: Tidningen Curie, p. 1-1Article in journal (Other (popular science, discussion, etc.))
  • 24.
    Sandström, Ulf
    Linköping University.
    Springboard or stumbling block?2004In: Gender and Excellence in the Making / [ed] MARGO BROUNS AND ELISABETTA ADDIS, European Commission, 2004, p. 77-92Chapter in book (Other academic)
  • 25.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Svensk statsvetenskap i bibliometrisk belysning2007In: Statsvetenskaplig Tidskrift, ISSN 0039-0747, no 4, p. 339-357Article in journal (Refereed)
    Abstract [en]

    Swedish Political Science: a bibliometric analysis. Citations, productivity measures and rankingshave become reality in modern university life. Many of the bibliometric reportspresented by ranking institutes and non-professional bibliometricians are flawed dueto methodologically unsound procedures. This article discusses three important methodologicalproblems involved in bibliometric studies: 1) number of personnel at universitydepartments; 2) counting of articles from these departments; and 3) countingof citations to these articles. Relating to earlier research (Hix, 2004) it is shown thatthe counting of personnel - a very important reference value - can be conducted inseveral different ways. Following Dale & Goldfinch (2005) we discuss the limitationto political science journals proposed by Hix. There is a large influx of non politicalscientist to the area and a similar outflow of political scientists to other journal categories(e.g. environmental studies). Therefore, the proposed limitation is questioned.Implementing advanced methods for field normalized citation scores (van Raan,2004) we conclude the article with an analysis of Swedish university departments inpolitical science during the period 1998-2005. The result is a promising 33 per centbetter citation scores than the world average, but the downside is a low number of articlesper researcher.

  • 26.
    Sandström, Ulf
    Linköping University.
    Tvärgående forskning allt vanligare2004In: Forska, ISSN 1651-8764, no 4-5, p. 14-15Article in journal (Other academic)
  • 27.
    Sandström, Ulf
    Linköping University.
    Vilka resultat leder FoU-verksamheten till?2005Report (Other academic)
  • 28.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Ökt intensitet och nya aktörer2007In: Forskningspolitikk, ISSN 0333-0273, E-ISSN 0805-8210, Vol. 30, no 1, p. 14-15Article in journal (Other academic)
  • 29.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics (Closed 20130101).
    ÖRE2010 Örebro Research Evaluation2010Report (Other academic)
  • 30.
    Sandström, Ulf
    et al.
    Linköping University.
    Aksnes, Dag
    National citation indicators, their methodological foundation and political interpretation2006In: 9th International Conference on Science and Technology Indicators, Leuven: Catholic Univ, Leuven , 2006, p. 3-5Conference paper (Refereed)
  • 31.
    Sandström, Ulf
    et al.
    Linköpings universitet.
    Flodström, Anders
    Högskoleverket.
    Metrics for Academic Performance2007In: International Conference on World-Class Universities WCU-2, 2007, 2007, p. 99-108Conference paper (Refereed)
  • 32.
    Sandström, Ulf
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics (Closed 20130101).
    Friberg, Magnus
    Hyenstrand, Per
    Larsson, Kjell
    Wadskog, Daniel
    Tvärvetenskap: en analys2005Report (Other academic)
  • 33.
    Sandström, Ulf
    et al.
    Linköping University.
    Hällsten, Martin
    Sociolgy Stockholm University.
    Gender, Funding Diversity and Quality of Research2009In: Proceedings of ISSI 2007: 11th International Conference of the International Society for Scientometrics and Informetrics, Vols I and II / [ed] Daniel Torres-Salinas & Henk Moed, 2009, p. 685-690Conference paper (Refereed)
    Abstract [en]

    We analyze the relation between funding and output using bibliometric methods with field normalized data. Our approach is to create a connection between bibliometric data at the individual researcher level and data on incoming grant (funding) using the specific personal ID-number (social security code). Data on funding include the person responsible for the grant. All types of research income are considered in the analysis yielding a project database with a high level of precision. Results show that productivity can be explained by background variables, but that quality of research is un-related to background variables. This is a paper in progress: our ambition is to extend it in several ways: theoretically, analytically and empirically.

  • 34.
    Sandström, Ulf
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Hällsten, Martin
    Persistent nepotism in peer-review2008In: Scientometrics, ISSN 0138-9130, E-ISSN 1588-2861, Vol. 74, no 2, p. 175-189Article in journal (Refereed)
    Abstract [en]

    In a replication of the high-profile contribution by Wenneras and Wold on grant peer-review, we investigate new applications processed by the medical research council in Sweden. Introducing a normalisation method for ranking applications that takes into account the differences between committees, we also use a normalisation of bibliometric measures by field. Finally, we perform a regression analysis with interaction effects. Our results indicate that female principal investigators (PIs) receive a bonus of 10% on scores, in relation to their male colleagues. However, male and female PIs having a reviewer affiliation collect an even higher bonus, approximately 15%. Nepotism seems to be a persistent problem in the Swedish grant peer review system.

  • 35.
    Sandström, Ulf
    et al.
    Linköping Univ, ISAK, S-58183 Linköping, Sweden.
    Sandström, Erik
    Meeting the Micro-Level Challenges: Bibliometrics at the Individual Level2009In: PROCEEDINGS OF ISSI 2009 - 12TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL SOCIETY FOR SCIENTOMETRICS AND INFORMETRICS, VOL 2 / [ed] Larsen, B; Leta, J, 2009, p. 846-856Conference paper (Refereed)
    Abstract [en]

    The aim of this paper is to demonstrate a method for bibliometric evaluation of individuals, i.e. research staff currently employed within a university department or other knowledge organisations with research purposes. Based on methods for citation analysis and methods for clustering of papers into research lines ( using bibliographic coupling) we present an analysis of one researcher in three dimensions: 1) publication and citation indicators; 2) publication profile, and 3) research lines. One of the features of the method is the benchmark against other researchers within the same research line, i.e. researchers that use the same references and, accordingly, are active in the same field of research. The paper suggests this method as a means to avoid the fallacies of evaluation solely dependent on sub-field categories in the Web of Science in advanced citation analysis. The method was used in a Research Assessment Exercise accomplished in the autumn of 2008 at Royal Institute of Technology.

  • 36.
    Sandström, Ulf
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Sandström, Erik
    Modell för beräkning av direktanslag till svenska lärosäten baserad på forskningsproduktion och citeringsgrad2007In: Resurser för kvalitet. Betänkande av Resursutreningen / [ed] Dan Brändström, Fritzes, 2007, p. 389-443Chapter in book (Other academic)
  • 37.
    Sandström, Ulf
    et al.
    Linköping University.
    Sandström, Erik
    Gothenburg University.
    The field factor: Towards a Metric for Academic Institutions2009In: Research Evaluation, ISSN 0958-2029, E-ISSN 1471-5449, Vol. 18, no 3, p. 243-250Article in journal (Refereed)
    Abstract [en]

    We present a new model for performance-related funding of universities in Sweden. The model is based oil number of papers in international scientific journals, but relies oil an estimation of field-adjusted production per scientific/technological area Author counts are based oil potential authors using the Waring distribution for 34 areas of science (Schubert and Braun, 1992) We apply this model to the Swedish university system and illustrate with the reallocations that Would follow from a complete implementation. Next, we test the accuracy of the method using publication data from six Swedish universities and four Norwegian universities. In conclusion we discuss advantages and drawbacks with the method.

  • 38.
    Sandström, Ulf
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Van den Besselaar, Peter
    Funding, evaluation, and the performance of national research systems2018In: Journal of Informetrics, ISSN 1751-1577, E-ISSN 1875-5879, Vol. 12, no 1, p. 365-384Article in journal (Refereed)
    Abstract [en]

    Understanding the quality of science systems requires international comparative studies, which are difficult because of the lack of comparable data especially about inputs in research. In this study, we deploy an approach based on change instead of on levels of inputs and outputs: an approach that to a large extent eliminates the problem of measurement differences between countries. We firstly show that there are large differences in efficiency between national science systems, defined as the increase in output (highly cited papers) per percentage increase in input (funding). We then discuss our findings using popular explanations of performance differences: differences in funding systems (performance related or not), differences in the level of competition, differences in the level of university autonomy, and differences in the level of academic freedom. Interestingly, the available data do not support these common explanations. What the data suggest is that efficient systems are characterized by a well-developed ex post evaluation system combined with considerably high institutional funding and relatively low university autonomy (meaning a high autonomy of professionals). On the other hand, the less efficient systems have a strong ex ante control, either through a high level of so-called competitive project funding, or through strong power of the university management. Another conclusion is that more and better data are needed.

  • 39.
    Sandström, Ulf
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Van den Besselaar, Peter
    Vrije Universitet Amsterdam.
    What is the Required Level of Data Cleaning? A Research Evaluation Case2016In: Journal of Scientometric Research, ISSN 2321-6654, Vol. 5, no 1, p. 7-12Article in journal (Refereed)
    Abstract [en]

    Bibliometric methods depend heavily on the quality of data, and cleaning and disambiguating data are very time-consuming. Therefore, quite some effort is devoted to the development of better and faster tools for disambiguating of the data (e.g., Gurney et al. 2012). Parallel to this, one may ask to what extent data cleaning is needed, given the intended use of the data. To what extent is there a trade-off between the type of questions asked and the level of cleaning and disambiguating required? When evaluating individuals, a very high level of data cleaning is required, but for other types of research questions, one may accept certain levels of error, as long as these errors do not correlate with the variables under study. In this paper, we present an earlier case study with a rather crude way of data handling as it was expected that the unavoidable error would even out. In this paper, we do a sophisticated data cleaning and disambiguation of the same dataset, and then do the same analysis as before. We compare the results and discuss conclusions about required data cleaning What is the Required Level of Data Cleaning? A Research Evaluation Case.

  • 40.
    Sandström, Ulf
    et al.
    Swedish Res Council, Div Policy Anal, Stockholm, Sweden.
    Wadskog, D.
    A Decade after Hicks and Katz: Interdisciplinary research re-examined2005In: ISSI 2005: Proceedings of the 10th International Conference of the International Society for Scientometrics and Informetrics, Vols 1 and 2 / [ed] Ingwersen, P; Larsen, B, Stockholm: Karolinska Univ Press , 2005, p. 371-381Conference paper (Refereed)
    Abstract [en]

    Following the innovative method from the SPRU paper by Hicks and Katz in 1996 we investigated different aspects of the interdisciplinary trends in Europe. The paper uses ISI data covering the period from 1982-2003. The trend towards multi- and interdisciplinarity in the natural, medical and technological sciences is growing stronger over time. In our analysis we use number of publications and citations in different areas of research, countries, sectors and universities. This gives an overview of interdiscplinafity as a phenomenon. Detailed Swedish data is used as a case study. The paper concludes with a short discussion on interdisciplinarity and research level.

  • 41.
    Sandström, Ulf
    et al.
    Swedish Res Council, Div Policy Anal, Stockholm, Sweden.
    Wadskog, D.
    Karlsson, S.
    Research institutes and universities: Does collaboration pay?2005In: ISSI 2005: Proceedings of the 10th International Conference of the International Society for Scientometrics and Informetrics, Vols 1 and 2 / [ed] Ingwersen P; Larsen B, 2005, p. 690-691Conference paper (Refereed)
  • 42.
    Sandström, Ulf
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Industrial Dynamics.
    Wold, Agnes
    Jordansson, Birgitta
    Ohlsson, Björn
    Smedberg, Åsa
    Hans Excellens: Om miljardsatsningarna på starka forskningsmiljöer2010Book (Other academic)
  • 43.
    Sriwannawit, Pranpreya
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.).
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.). Orebro University, Sweden.
    Large-scale bibliometric review of diffusion research2015In: Scientometrics, ISSN 0138-9130, E-ISSN 1588-2861, Vol. 102, no 2, p. 1615-1645Article in journal (Refereed)
    Abstract [en]

    Despite the fact that diffusion research has existed for more than a century, a quantitative review covering this subject in a broad and general context is still lacking. This article reviews diffusion research by providing an extensive bibliometric and clustering analysis. In total, we identified thirteen clusters comprising 6,811 publications over the period of 2002–2011, and thereby describe the characteristics of diffusion research in an extensive and general way based on quantitative bibliometric methods. The analysis reveals that diffusion research is highly interdisciplinary in character, involving several disciplines from ethnology to economics, with many overlapping research trails. The concluding section indicates that diffusion research seems to be data driven and relies heavily on solely empirical studies. Consequently, influential publications rely on empirical data that support and change theories in modest ways only. In this contribution, we propose a review method that produces a fairly good overview of the research area and which can be applied to any knowledge field to replace or complement the traditional literature review.

  • 44.
    Sriwannawit, Pranpreya
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Patterns of diffusion research in emerging and advanced economies2013In: International Conference on Management of Technology (IAMOT), 2013Conference paper (Refereed)
  • 45.
    Sriwannawit, Pranpreya
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Review of Diffusion Research2013Report (Refereed)
    Abstract [en]

    Despite the fact that diffusion research has existed for more than one century, there is no quantitative review study that covers this subject in a broad and general context. This article reviews diffusion research by providing an extensive bibliometric and clustering analysis. We identify research trails and explain the characteristics of diffusion research using new methods. We contribute a methodology for the use of advanced mapping and clustering techniques in order to describe the research areas. This method produces a fairly good overview of diffusion research and can be applied to any knowledge field to replace or complement the traditional literature review.

  • 46. van den Besselaar, P.
    et al.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics. Örebro University, Sweden.
    Early career grants, performance, and careers: A study on predictive validity of grant decisions2015In: Journal of Informetrics, ISSN 1751-1577, E-ISSN 1875-5879, Vol. 9, no 4, p. 826-838, article id 580Article in journal (Refereed)
    Abstract [en]

    The main rationale behind career grants is helping top talent to develop into the next generation leading scientists. Does career grant competition result in the selection of the best young talents? In this paper we investigate whether the selected applicants are indeed performing at the expected excellent level-something that is hardly investigated in the research literature.We investigate the predictive validity of grant decision-making, using a sample of 260 early career grant applications in three social science fields. We measure output and impact of the applicants about ten years after the application to find out whether the selected researchers perform ex post better than the non-successful ones. Overall, we find that predictive validity is low to moderate when comparing grantees with all non-successful applicants. Comparing grantees with the best performing non-successful applicants, predictive validity is absent. This implies that the common belief that peers in selection panels are good in recognizing outstanding talents is incorrect. We also investigate the effects of the grants on careers and show that recipients of the grants do have a better career than the non-granted applicants. This makes the observed lack of predictive validity even more problematic.

  • 47. Van Den Besselaar, P.
    et al.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Quantity matters, but how does it work?2018In: Journal of Informetrics, ISSN 1751-1577, E-ISSN 1875-5879, Vol. 12, no 4, p. 1059-1062Article in journal (Refereed)
  • 48. van den Besselaar, P.
    et al.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    The effect of funding modes on the quality of knowledge production2013In: Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference, AIT Austrian Institute of Technology , 2013, p. 664-676Conference paper (Refereed)
    Abstract [en]

    Do funding modes have an effect on the quality of knowledge production? In this paper we develop an approach to investigate this, using the new WoS field on funder data, using climate change research in Sweden and the Netherlands in 2009-2010 as a case. We firstly developed an operational definition of climate change research, and retrieved all WoS records for the countries and years mentioned. We developed a classification scheme for the funding organizations of 13 categories, using dimensions as top-down/bottom-up, large/small research, national/international, and public/private. Then all funding institutions were manually classified in the 13 categories. We then calculated the average impact of the papers for each of the funding categories. The results clearly show differences between the funder types, and also between the countries. The latter indicates that a funding mode may be organized in different ways affecting the effectiveness. Finally, we discuss further research.

  • 49.
    van den Besselaar, Peter
    et al.
    Vrije Univ Amsterdam, Amsterdam, Netherlands..
    Heyman, Ulf
    Uppsala Univ, Uppsala, Sweden..
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Sustainability and Industrial Dynamics.
    Science policy through stimulating scholarly output. Reanalyzing the Australian case2016In: STI2016 - Proceedings of the 21ST international conference on science and technology indicators / [ed] Rafols, I MolasGallart, J CastroMartinez, E Woolley, R, UNIV POLITECNICA VALENCIA , 2016, p. 531-540Conference paper (Refereed)
    Abstract [en]

    There is a long standing debate about perverse effects of performance indicators. A main target is science policy using stimulation of output as instrument. The criticism is to a large extent based on a study of the Australian science policy in the early 1990s. Linda Butler studied the effects and argued that the effect was an growth of output, but also a decrease of average quality of the output. These results have been cited many times. In this paper we reanalyze this case and show that the analysis of Butler was wrong: the new Australian science policy did not only increase the output of the system, but also the quality went up. We discuss the implications.

  • 50. van den Besselaar, Peter
    et al.
    Sandström, Ulf
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.).
    Counterintuitive effects of incentives?2017In: Research Evaluation, ISSN 0958-2029, E-ISSN 1471-5449, Vol. 26, no 4, p. 349-351Article in journal (Other academic)
    Abstract [en]

    A recent paper in this journal compares the Norwegian model of using publications counts for university funding with a similar intervention in Australia in the mid-1990 s. The authors argue that the Norwegian model (taking into account the quality of publications) performs better than the Australian (which did neglect paper quality other than being peer reviewed). We argue that these conclusions are in contrast to the evidence provided in the article, and therefore should be considered incorrect.

12 1 - 50 of 56
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