David Dearman

1.1k citations
28 papers · 915 · h-index 18

Impact in

Papers in

David Dearman

28 papers receiving 870 citations

Peers

David Dearman
Comparison fields: 5 of 57
  • Human-Computer Interaction 506
  • Information Systems and Management 70
  • Information Systems 185
  • Human Factors and Ergonomics 29
  • Computer Vision and Pattern Recognition 101
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Alan Walendowski United States
Ian E. Smith United States
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Citations per field
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Citations per year

Countries citing papers authored by David Dearman

Since Specialization
Citations

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

Fields of papers citing papers by David Dearman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside David Dearman, 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 Dearman Line = papers co-authored together David Dearman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008160
2 2009100
3 201078
4 200853
5 201247
6 200545
7 201039
8 201035
9 200729
10 200928
11 200726
12 200525
13 201125
14 201022
15 201222
16 200521
17 201119
18 201018
19 201218
20
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201017

About David Dearman

David Dearman is a scholar working on Human-Computer Interaction, Information Systems, Transportation, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 915 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (13 papers), Usability and User Interface Design (8 papers), Innovative Human-Technology Interaction (7 papers), Privacy, Security, and Data Protection (3 papers), Context-Aware Activity Recognition Systems (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Expert finding and Q&A systems (2 papers) and Personal Information Management and User Behavior (2 papers). The work is most often cited by research in Human-Computer Interaction (506 citations), Information Systems and Management (70 citations), Information Systems (185 citations), Human Factors and Ergonomics (29 citations) and Computer Vision and Pattern Recognition (101 citations). David Dearman has collaborated with scholars based in Canada and United States. Frequent co-authors include Khai Nhut Truong, Kori M. Inkpen, Koji Yatani, Melanie Kellar, Alex Varshavsky, Eyal de Lara, Kirstie Hawkey, Timothy Y. Sohn, Derek F. Reilly and Carolyn R. Watters. Their work appears in journals such as IEEE Pervasive Computing, Interacting with Computers, Personal and Ubiquitous Computing, International Journal of Human-Computer Interaction and Lecture notes in computer science.

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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