David V. Keyson

2.2k citations
81 papers · 1.5k · h-index 22

Impact in

Papers in

David V. Keyson

74 papers receiving 1.4k citations

Peers

David V. Keyson
Comparison fields: 5 of 129
  • Human-Computer Interaction 345
  • Information Systems and Management 76
  • Management of Technology and Innovation 71
  • Building and Construction 118
  • Computer Science Applications 47
Replace Shengsheng Huang with:
Shengsheng Huang China
Paul Rodgers United Kingdom
Tae Wan Kim South Korea
Maria C. Yang United States
Jongsu Lee South Korea
Pedro Antunes Portugal
Jinmo Kim South Korea
Yong Gu Ji South Korea
Jenny Liu United States
Diego Vergara Spain
David V. Keyson relative to Shengsheng Huang China Shengsheng Huang's profile →
Citations per field
00.5×9.4×
Shengsheng Huang · 1×
Citations per year

Countries citing papers authored by David V. Keyson

Since Specialization
Citations

This map shows the geographic impact of David V. Keyson'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 V. Keyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David V. Keyson more than expected).

Fields of papers citing papers by David V. Keyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David V. Keyson. 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 V. Keyson. The network helps show where David V. Keyson may publish in the future.

Co-authors

The 25 scholars most cited alongside David V. Keyson, 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 V. Keyson Line = papers co-authored together David V. Keyson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007242
2 2013147
3 200379
4 200778
5 201260
6 201660
7 201541
8 201840
9 200739
10 200738
11 201638
12 199536
13 201536
14 201335
15 199734
16 200733
17 202029
18 201729
19 200527
20 200925

About David V. Keyson

David V. Keyson is a scholar working on Human-Computer Interaction, Social Psychology, Cognitive Neuroscience, Information Systems and Artificial Intelligence, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (21 papers), Interactive and Immersive Displays (13 papers), Usability and User Interface Design (11 papers), Tactile and Sensory Interactions (7 papers), ICT in Developing Communities (6 papers), Mobile Health and mHealth Applications (5 papers), Speech and dialogue systems (5 papers) and Smart Grid Energy Management (5 papers). The work is most often cited by research in Human-Computer Interaction (345 citations), Information Systems and Management (76 citations), Management of Technology and Innovation (71 citations), Building and Construction (118 citations) and Computer Science Applications (47 citations). David V. Keyson has collaborated with scholars based in Netherlands, Brazil and Germany. Frequent co-authors include Daphne Geelen, E. Longo, Angèle Reinders, A.Z. Simões, L.S. Cavalcante, Diogo P. Volanti, J.A. Varela, Huib de Ridder, Olivia Guerra-Santin and Martijn H. Vastenburg. Their work appears in journals such as Personal and Ubiquitous Computing, Energy Research & Social Science, Materials Research Bulletin, Ergonomics and Interacting with Computers.

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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