Tom Dayton
- Human-Computer Interaction top 2%
- Information Systems top 10%
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Social Psychology
- Co-authors
- Michael MüllerFrancis T. DursoRobert W. RootJohn KaratJames E. McDonaldJakob NielsenJack D. ShepardMaarten Sierhuis
- Topics
- Usability and User Interface Design (11 papers)Software Engineering Techniques and Practices (6 papers)Complex Systems and Decision Making (2 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Tom Dayton
25 papers receiving 250 citations
Peers
Comparison fields: 5 of 68
- Human-Computer Interaction 164
- Information Systems 80
- Artificial Intelligence 59
- Experimental and Cognitive Psychology 47
- Social Psychology 42
Countries citing papers authored by Tom Dayton
This map shows the geographic impact of Tom Dayton'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 Tom Dayton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Dayton more than expected).
Fields of papers citing papers by Tom Dayton
This network shows the impact of papers produced by Tom Dayton. 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 Tom Dayton. The network helps show where Tom Dayton may publish in the future.
Co-authorship network of co-authors of Tom Dayton
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Dayton. A scholar is included among the top collaborators of Tom Dayton 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 Tom Dayton. Tom Dayton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Field Demonstration of Surface Human-Robotic Exploration Activity. | 10 |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | Bifocal tools for scenarios and representations in participatory activities with users | 31 |
| 8 | Bellcore's user-centered design approach | 2 |
| 9 | 3 | |
| 10 | 61 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 8 | |
| 14 | 22 | |
| 15 | 1 | |
| 16 | 17 | |
| 17 | 12 | |
| 18 | A measure of the knowledge reorganization underlying insight | 7 |
| 19 | 6 | |
| 20 | 24 |
About Tom Dayton
Tom Dayton is a scholar working on Human-Computer Interaction, Information Systems and Human Factors and Ergonomics, having authored 25 papers that have together received 309 indexed citations. Recurring topics across this work include Usability and User Interface Design (11 papers), Software Engineering Techniques and Practices (6 papers) and Complex Systems and Decision Making (2 papers). The work is most often cited by research in Human-Computer Interaction (164 citations), Human Factors and Ergonomics (14 citations) and General Decision Sciences (10 citations). Tom Dayton has collaborated with scholars based in United States and Canada. Frequent co-authors include Michael Müller, Francis T. Durso, Robert W. Root, John Karat, James E. McDonald, Jakob Nielsen, Jack D. Shepard, Maarten Sierhuis, David Lees and Alonso Vera. Their work appears in journals such as Psychological Science, Applied Cognitive Psychology and Behaviour and Information Technology.
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.