David Dearman
- Human-Computer Interaction top 0.5%
- Interactive and Immersive Displays 10
- Innovative Human-Technology Interaction 7
- Usability and User Interface Design 6
- Gaze Tracking and Assistive Technology 4
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- Personal Information Management and User Behavior 4
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- Mobile Crowdsensing and Crowdsourcing 5
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions 8
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- Context-Aware Activity Recognition Systems 6
- Co-authors
- Khai N. TruongKori InkpenKoji YataniJeremy A. ScottMelanie KellarKirstie HawkeyCarolyn WattersTimothy Sohn
- Journals
- IEEE Pervasive Computing (2 papers)International Journal of Human-Computer Interaction (2 papers)Personal and Ubiquitous Computing (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
David Dearman
28 papers receiving 730 citations
Peers
Comparison fields: 5 of 66
- Human-Computer Interaction 453
- Information Systems and Management 139
- Computer Science Applications 81
- Cognitive Neuroscience 208
- Computer Vision and Pattern Recognition 194
Countries citing papers authored by David Dearman
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 14 | |
| 2 | 2012 | 19 | |
| 3 | 2012 | 37 | |
| 4 | 2011 | 20 | |
| 5 | 2011 | 14 | |
| 6 | Multi-modal text entry and selection on a mobile device | 2010 | 13 |
| 7 | 2010 | 68 | |
| 8 | 2010 | 13 | |
| 9 | 2010 | 19 | |
| 10 | 2010 | 32 | |
| 11 | 2009 | 12 | |
| 12 | 2009 | 25 | |
| 13 | 2008 | 46 | |
| 14 | 2008 | 140 | |
| 15 | 2007 | 25 | |
| 16 | 2007 | 2 | |
| 17 | 2006 | 4 | |
| 18 | 2005 | 8 | |
| 19 | 2005 | 41 | |
| 20 | 2005 | 21 |
About David Dearman
David Dearman is a scholar working on Human-Computer Interaction, Computer Science Applications, Transportation, Information Systems and Management and Cognitive Neuroscience, having authored 28 papers that have together received 767 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (10 papers), Tactile and Sensory Interactions (8 papers), Innovative Human-Technology Interaction (7 papers), Context-Aware Activity Recognition Systems (6 papers), Usability and User Interface Design (6 papers), Mobile Crowdsensing and Crowdsourcing (5 papers), Personal Information Management and User Behavior (4 papers) and Gaze Tracking and Assistive Technology (4 papers). The work is most often cited by research in Human-Computer Interaction (453 citations), Information Systems and Management (139 citations), Computer Science Applications (81 citations), Cognitive Neuroscience (208 citations) and Computer Vision and Pattern Recognition (194 citations). David Dearman has collaborated with scholars based in Canada and United States. Frequent co-authors include Khai N. Truong, Kori Inkpen, Koji Yatani, Jeremy A. Scott, Melanie Kellar, Kirstie Hawkey, Carolyn Watters, Timothy Sohn, Derek Reilly and Michael Massimi. Their work appears in journals such as IEEE Pervasive Computing, International Journal of Human-Computer Interaction, Personal and Ubiquitous Computing, Interacting with Computers and Graphics Interface.
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.