Tom Williams
- Safety Research top 1%
- Ethics and Social Impacts of AI 39
- Human-Computer Interaction top 2%
- Social Psychology top 2%
- Social Robot Interaction and HRI 50
- Artificial Intelligence top 2%
- AI in Service Interactions 22
- Speech and dialogue systems 21
- Natural Language Processing Techniques 15
- Topic Modeling 14
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- Psychology of Moral and Emotional Judgment 17
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- Robotics and Automated Systems 11
- Co-authors
- Matthias ScheutzTathagata ChakrabortiDaniel SzafırGordon BriggsQin ZhuKerstin S. HaringAlan R. WagnerNicole Smith
- Journals
- International Journal of Social Robotics (2 papers)AI Magazine (2 papers)Cognitive Science (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Tom Williams
123 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Safety Research 297
- Human-Computer Interaction 187
- Social Psychology 588
- Artificial Intelligence 493
- Computer Science Applications 66
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 16 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 1 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 19 | |
| 19 | 2018 | 6 | |
| 20 | Evaluation of loss detection methods in solution monitoring for nuclear safeguards | 2009 | 4 |
About Tom Williams
Tom Williams is a scholar working on Safety Research, Social Psychology, Human-Computer Interaction, Artificial Intelligence and Cognitive Neuroscience, having authored 135 papers that have together received 1.4k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (50 papers), Ethics and Social Impacts of AI (39 papers), AI in Service Interactions (22 papers), Speech and dialogue systems (21 papers), Psychology of Moral and Emotional Judgment (17 papers), Natural Language Processing Techniques (15 papers), Topic Modeling (14 papers) and Robotics and Automated Systems (11 papers). The work is most often cited by research in Safety Research (297 citations), Human-Computer Interaction (187 citations), Social Psychology (588 citations), Artificial Intelligence (493 citations) and Computer Science Applications (66 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, Gordon Briggs, Qin Zhu, Kerstin S. Haring, Alan R. Wagner, Nicole Smith, Heni Ben Amor and David Feil-Seifer. Their work appears in journals such as International Journal of Social Robotics, AI Magazine, Cognitive Science, JAMA Network Open and International Journal of Human-Computer Interaction.
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.