Tom Tullis
Impact in
- Human-Computer Interaction top 1%
- Usability and User Interface Design
- Gaze Tracking and Assistive Technology
- Innovative Human-Technology Interaction
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- Technology Adoption and User Behaviour
Papers in
-
- Usability and User Interface Design 5
- Gaze Tracking and Assistive Technology 3
- Innovative Human-Technology Interaction 3
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- Digital Marketing and Social Media 6
- Co-authors
- Marisa Siegel (8 shared papers)Soussan Djamasbi (7 shared papers)Jeanine Skorinko (1 shared paper)Emily Sun (1 shared paper)Man Ching Frankie Ng (1 shared paper)
- Journals
- International Journal of Electronic Commerce (1 paper)International Journal of Human-Computer Studies (1 paper)Digital WPI (1 paper)Americas Conference on Information Systems (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Tom Tullis
13 papers receiving 581 citations
Peers
Comparison fields: 5 of 88
- Human-Computer Interaction 236
- Information Systems and Management 143
- Human Factors and Ergonomics 36
- Marketing 137
- Demography 108
Countries citing papers authored by Tom Tullis
This map shows the geographic impact of Tom Tullis'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 Tullis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Tullis more than expected).
Fields of papers citing papers by Tom Tullis
This network shows the impact of papers produced by Tom Tullis. 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 Tullis. The network helps show where Tom Tullis may publish in the future.
Co-authors
The 5 scholars most cited alongside Tom Tullis, 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 | 2010 | 246 | |
| 2 | 2002 | 107 | |
| 3 | 2011 | 79 | |
| 4 | An Empirical Comparison of Lab and Remote Usability Testing of Web Sites | 2002 | 70 |
| 5 | 2010 | 47 | |
| 6 | 2002 | 29 | |
| 7 | 2004 | 28 | |
| 8 | Generation Y & Web Design: Usability through Eye Tracking | 2008 | 13 |
| 9 | 2014 | 9 | |
| 10 | 2009 | 9 | |
| 11 | 2003 | 9 | |
| 12 | 2012 | 9 | |
| 13 | Tracking Users’ Viewing Pattern | 2009 | 3 |
About Tom Tullis
Tom Tullis is a scholar working on Human-Computer Interaction, Sociology and Political Science, Information Systems and Management, Demography and Social Psychology, having authored 13 papers that have together received 658 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (6 papers), Usability and User Interface Design (5 papers), Gaze Tracking and Assistive Technology (3 papers), Innovative Human-Technology Interaction (3 papers), Technology Use by Older Adults (3 papers), Personal Information Management and User Behavior (2 papers), Technology Adoption and User Behaviour (2 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Human-Computer Interaction (236 citations), Information Systems and Management (143 citations), Human Factors and Ergonomics (36 citations), Marketing (137 citations) and Demography (108 citations). Tom Tullis has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Marisa Siegel, Soussan Djamasbi, Jeanine Skorinko, Emily Sun and Man Ching Frankie Ng. Their work appears in journals such as International Journal of Electronic Commerce, International Journal of Human-Computer Studies, Digital WPI and Americas Conference on Information Systems.
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.