David Geerts

1.8k total citations
86 papers, 1.1k citations indexed

About

David Geerts is a scholar working on Sociology and Political Science, Human-Computer Interaction and Computer Networks and Communications. According to data from OpenAlex, David Geerts has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Sociology and Political Science, 30 papers in Human-Computer Interaction and 15 papers in Computer Networks and Communications. Recurrent topics in David Geerts's work include Multimedia Communication and Technology (34 papers), Innovative Human-Technology Interaction (19 papers) and Digital Games and Media (17 papers). David Geerts is often cited by papers focused on Multimedia Communication and Technology (34 papers), Innovative Human-Technology Interaction (19 papers) and Digital Games and Media (17 papers). David Geerts collaborates with scholars based in Belgium, Netherlands and Brazil. David Geerts's co-authors include Pablo César, Dirk De Grooff, Dick C. A. Bulterman, Jeroen Vanattenhoven, Jan Derboven, Vero Vanden Abeele, Isa Rutten, Pascal Borry, Isabelle Huys and Jack Jansen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and International Journal of Human-Computer Studies.

In The Last Decade

David Geerts

82 papers receiving 1.0k citations

Peers

David Geerts
Comparison fields: 5 of 102
  • Sociology and Political Science 534
  • Computer Vision and Pattern Recognition 307
  • Human-Computer Interaction 261
  • Computer Networks and Communications 210
  • Information Systems 96
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Citations per field, relative to David Geerts
David Geerts · 1×
Citations per year, relative to David Geerts
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Countries citing papers authored by David Geerts

Since Specialization
Citations

This map shows the geographic impact of David Geerts's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Geerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Geerts more than expected).

Fields of papers citing papers by David Geerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Geerts. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Geerts. The network helps show where David Geerts may publish in the future.

Co-authorship network of co-authors of David Geerts

This figure shows the co-authorship network connecting the top 25 collaborators of David Geerts. A scholar is included among the top collaborators of David Geerts based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Geerts. David Geerts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 1
3 1
4 1
5 21
6 3
7 52
8 7
9 4
10 2
11 6
12 14
13 22
14
Deciding What to Watch: Paper Prototyping Interactive Group Recommenders for Television
2
15 16
16 50
17
Enhancing Social Sharing Of Videos: Fragment, Annotate, Enrich, And Share
1
18 3
19
Social requirements for sharing information and experiences
2
20
Coupling the users : the benefits of paired user testing for iDTV
2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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