David Geerts

1.9k citations
86 papers · 1.1k · h-index 19

Impact in

Papers in

    • Multimedia Communication and Technology 34
    • Digital Games and Media 17
    • Innovative Human-Technology Interaction 18
    • Virtual Reality Applications and Impacts 10
    • Interactive and Immersive Displays 8
    • Usability and User Interface Design 7

David Geerts

82 papers receiving 1.0k citations

Peers

David Geerts
Comparison fields: 5 of 100
  • Human-Computer Interaction 259
  • Computer Vision and Pattern Recognition 308
  • Sociology and Political Science 526
  • Computer Science Applications 54
  • Communication 67
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside David Geerts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Geerts Line = papers co-authored together David Geerts links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200863
2 201161
3 200959
4 202054
5 201051
6 201451
7 200845
8 201142
9 201039
10 200636
11 200935
12 201630
13 201225
14
Understanding Social TV: a survey
201124
15 202122
16 201522
17 200921
18 201719
19 201919
20 201118

About David Geerts

David Geerts is a scholar working on Sociology and Political Science, Human-Computer Interaction, Computer Networks and Communications, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multimedia Communication and Technology (34 papers), Innovative Human-Technology Interaction (18 papers), Digital Games and Media (17 papers), Peer-to-Peer Network Technologies (12 papers), Virtual Reality Applications and Impacts (10 papers), Interactive and Immersive Displays (8 papers), Tactile and Sensory Interactions (8 papers) and Usability and User Interface Design (7 papers). The work is most often cited by research in Human-Computer Interaction (259 citations), Computer Vision and Pattern Recognition (308 citations), Sociology and Political Science (526 citations), Computer Science Applications (54 citations) and Communication (67 citations). David Geerts has collaborated with scholars based in Belgium, Netherlands and Brazil. Frequent co-authors include Pablo César, Dirk De Grooff, Dick C. A. Bulterman, Jeroen Vanattenhoven, Jan Derboven, Vero Vanden Abeele, Isa Rutten, Hendrik Knoche, Jack Jansen and Pascal Borry. Their work appears in journals such as Journal of Medical Internet Research, Personal and Ubiquitous Computing, Digital Health, Online Information Review and BMC Medical Informatics and Decision Making.

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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