Tom Williams
Impact in
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts
- Safety Research top 1%
- Ethics and Social Impacts of AI
Papers in
-
- Social Robot Interaction and HRI 57
-
- Speech and dialogue systems 24
- AI in Service Interactions 24
- Natural Language Processing Techniques 17
- Topic Modeling 16
- Co-authors
- Matthias Scheutz (21 shared papers)Tathagata Chakraborti (6 shared papers)Daniel Szafır (5 shared papers)Qin Zhu (13 shared papers)Gordon Briggs (4 shared papers)Kerstin S. Haring (3 shared papers)Alan R. Wagner (2 shared papers)Nicole Smith (1 shared paper)
- Journals
- International Journal of Social Robotics (2 papers)AI Magazine (2 papers)Cognitive Science (2 papers)Lecture notes in computer science (12 papers)International Journal of Human-Computer Studies (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Tom Williams
138 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Human-Computer Interaction 267
- Safety Research 326
- Social Psychology 718
- Artificial Intelligence 558
- Cognitive Neuroscience 275
Countries citing papers authored by Tom Williams
This map shows the geographic impact of Tom Williams'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 Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Williams more than expected).
Fields of papers citing papers by Tom Williams
This network shows the impact of papers produced by Tom Williams. 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 Williams. The network helps show where Tom Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 89 | |
| 2 | 2023 | 63 | |
| 3 | 2018 | 58 | |
| 4 | Post-traumatic stress disorders : a handbook for clinicians | 1987 | 57 |
| 5 | 2020 | 56 | |
| 6 | 2019 | 54 | |
| 7 | 2015 | 49 | |
| 8 | 2021 | 44 | |
| 9 | 2011 | 43 | |
| 10 | 2018 | 39 | |
| 11 | 2015 | 38 | |
| 12 | 2021 | 35 | |
| 13 | 2005 | 34 | |
| 14 | 1984 | 34 | |
| 15 | 2020 | 33 | |
| 16 | 2017 | 32 | |
| 17 | 2018 | 29 | |
| 18 | 2019 | 27 | |
| 19 | 2019 | 26 | |
| 20 | 2016 | 24 |
About Tom Williams
Tom Williams is a scholar working on Social Psychology, Artificial Intelligence, Safety Research, Cognitive Neuroscience and Human-Computer Interaction, having authored 154 papers that have together received 1.7k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (57 papers), Ethics and Social Impacts of AI (40 papers), Speech and dialogue systems (24 papers), AI in Service Interactions (24 papers), Psychology of Moral and Emotional Judgment (19 papers), Natural Language Processing Techniques (17 papers), Topic Modeling (16 papers) and Robotics and Automated Systems (13 papers). The work is most often cited by research in Human-Computer Interaction (267 citations), Safety Research (326 citations), Social Psychology (718 citations), Artificial Intelligence (558 citations) and Cognitive Neuroscience (275 citations). Tom Williams has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Matthias Scheutz, Tathagata Chakraborti, Daniel Szafır, Qin Zhu, Gordon Briggs, Kerstin S. Haring, Alan R. Wagner, Nicole Smith, David Feil-Seifer and Silvia Rossi. Their work appears in journals such as International Journal of Social Robotics, AI Magazine, Cognitive Science, Lecture notes in computer science and International Journal of Human-Computer Studies.
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.