kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis
Show others and affiliations
2021 (English)In: Scientometrics, ISSN 0138-9130, E-ISSN 1588-2861, Vol. 126, no 4, p. 2667-2688Article in journal (Refereed) Published
Abstract [en]

Using geographic information systems (GIS) widely for dealing with transportation problems (is well-known as GIS-T), has made it nessasary for researchers to discover the current state-of-the-art and predict the trends of future research. This paper aims to contribute to a better understanding of GIS-T research area from a longitudinal perspective, over the period 2008–2019. A co-word analysis was used to illustrate all the underlying subfields of GIS-T based on published papers in the Web of Science (WoS) database service. The main knowledge areas representing the intellectual structure of GIS-T including (a) sustainability, (b) health, (c) planning and management, and (d) methods and tools, were detected. Finally, in order to illustrate the structure and development of the identified clusters, two-dimensional maps and strategic diagrams for each period were drawn. This study is the first attempt to employ a text mining method so as to detect the conceptual structure of GIS-T research area from a complex and interdisciplinary literature.

Place, publisher, year, edition, pages
Springer Nature , 2021. Vol. 126, no 4, p. 2667-2688
Keywords [en]
Co-occurrence network, Community detection, Dynamic co-word analysis, GIS-T, Research trends, Text mining
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-305842DOI: 10.1007/s11192-020-03840-8ISI: 000619695300001Scopus ID: 2-s2.0-85101254827OAI: oai:DiVA.org:kth-305842DiVA, id: diva2:1620425
Note

QC 20211215

Available from: 2021-12-15 Created: 2021-12-15 Last updated: 2022-06-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Gidofalvi, Gyözö

Search in DiVA

By author/editor
Gidofalvi, Gyözö
By organisation
Geoinformatics
In the same journal
Scientometrics
Other Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 37 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf