Tim Bickmore
Impact in
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
- Social Psychology top 5%
- Social Robot Interaction and HRI
Papers in
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- Social Robot Interaction and HRI 5
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- Speech and dialogue systems 5
- AI in Service Interactions 3
- Multi-Agent Systems and Negotiation 2
- Co-authors
- Hannes Högni Vilhjálmsson (5 shared papers)Justine Cassell (5 shared papers)Hao Yan (4 shared papers)Lee W. Campbell (1 shared paper)Lisa Campbell (2 shared papers)Stephan A. Gaehde (1 shared paper)Abu S. Abdullah (1 shared paper)Catherine Vaucelle (1 shared paper)
- Journals
- Knowledge-Based Systems (1 paper)Applied Artificial Intelligence (1 paper)Journal of Epidemiology and Global Health (1 paper)The MIT Press eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Tim Bickmore
8 papers receiving 354 citations
Peers
Comparison fields: 5 of 65
- Human-Computer Interaction 66
- Social Psychology 233
- Artificial Intelligence 254
- Applied Psychology 28
- Experimental and Cognitive Psychology 40
Countries citing papers authored by Tim Bickmore
This map shows the geographic impact of Tim Bickmore'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 Tim Bickmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Bickmore more than expected).
Fields of papers citing papers by Tim Bickmore
This network shows the impact of papers produced by Tim Bickmore. 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 Tim Bickmore. The network helps show where Tim Bickmore may publish in the future.
Co-authors
The 16 scholars most cited alongside Tim Bickmore, 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 | 2000 | 168 | |
| 2 | 2001 | 75 | |
| 3 | MACK: Media lab Autonomous Conversational Kiosk | 2002 | 56 |
| 4 | 2000 | 48 | |
| 5 | 2018 | 29 | |
| 6 | An Architecture for Embodied Conversational Characters | 1998 | 22 |
| 7 | 1998 | 19 | |
| 8 | 1996 | 3 |
About Tim Bickmore
Tim Bickmore is a scholar working on Social Psychology, Artificial Intelligence, Health, Control and Systems Engineering and Literature and Literary Theory, having authored 8 papers that have together received 420 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (5 papers), Speech and dialogue systems (5 papers), AI in Service Interactions (3 papers), Multi-Agent Systems and Negotiation (2 papers), Scheduling and Timetabling Solutions (1 paper), Educational Games and Gamification (1 paper), Human Motion and Animation (1 paper) and Digital Mental Health Interventions (1 paper). The work is most often cited by research in Human-Computer Interaction (66 citations), Social Psychology (233 citations), Artificial Intelligence (254 citations), Applied Psychology (28 citations) and Experimental and Cognitive Psychology (40 citations). Tim Bickmore has collaborated with scholars based in United States. Frequent co-authors include Hannes Högni Vilhjálmsson, Justine Cassell, Hao Yan, Lee W. Campbell, Lisa Campbell, Stephan A. Gaehde, Abu S. Abdullah, Catherine Vaucelle, Yukiko Nakano and Kimiko Ryokai. Their work appears in journals such as Knowledge-Based Systems, Applied Artificial Intelligence, Journal of Epidemiology and Global Health and The MIT Press eBooks.
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.