A bibliometric analysis of battery research with the BATTERY 2030+ roadmap as point of departureShow others and affiliations
2022 (English)Report (Other academic)
Abstract [en]
In this bibliometric study, we analyze the six battery research subfields identified in the BATTERY 2030+ roadmap: Battery Interface Genome, Materials Acceleration Platform, Recyclability, Smart functionalities: Self-healing, Smart functionalities: Sensing, and Manufacturability. In addition, we analyze the entire research field related to BATTERY 2030+ as a whole, using two operationalizations. We (a) evaluate the European standing in the subfields/the BATTERY 2030+ field in comparison to the rest of the world, and (b) identify strongholds of the subfields/the BATTERY 2030+ field across Europe. For each subfield and the field as a whole, we used seed articles, i.e. articles listed in the BATTERY 2030+ roadmap or cited by such articles, in order to generate additional, similar articles located in an algorithmically obtained classification system. The output of the analysis is publication volumes, field normalized citation impact values with comparisons between country/country aggregates and between organizations, co-publishing networks between countries and organizations, and keyword co-occurrence networks. For the results related to (a), the performance of EU & associated (countries) is similar to China and the aggregate Japan-South Korea-Singapore and well below North America regarding citation impact and with respect to the field as a whole. Exceptions are, however, the subfields Battery Interface Genome and Recyclability. For the results related to (b), there is a large variability in the EU & associated organizations regarding volume in the different subfields. For citation impact, examples of high-performing EU & associated organizations are ETH Zurich and Max Planck Society for the Advancement of Science.
Place, publisher, year, edition, pages
Uppsala: Uppsala universitet , 2022. , p. 67
Keywords [en]
BATTERY 2030+, Battery research, Bibliometric analysis, Bibliometric networks, Citation impact
National Category
Information Studies
Research subject
Information Studies
Identifiers
URN: urn:nbn:se:kth:diva-326554DOI: 10.33063/diva-473454OAI: oai:DiVA.org:kth-326554DiVA, id: diva2:1754893
Note
This is an open-access publication distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, please visit https://creativecommons.org/licenses/by/4.0
QC 20230504
2023-05-042023-05-042023-07-20Bibliographically approved