Tim Bickmore
Impact in
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
- Social Psychology top 5%
- Social Robot Interaction and HRI
Papers in
-
- Speech and dialogue systems 6
- AI in Service Interactions 3
- Multi-Agent Systems and Negotiation 2
- Natural Language Processing Techniques 1
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- Social Robot Interaction and HRI 6
- Co-authors
- Hannes Högni Vilhjálmsson (6 shared papers)Justine Cassell (6 shared papers)Hao Yan (5 shared papers)Lee W. Campbell (1 shared paper)Lisa Campbell (3 shared papers)Stephan A. Gaehde (1 shared paper)Abu S. Abdullah (1 shared paper)Catherine Vaucelle (1 shared paper)
- Journals
- Journal of Epidemiology and Global Health (1 paper)Applied Artificial Intelligence (1 paper)Knowledge-Based Systems (1 paper)Eurographics (1 paper)Advances in consciousness research (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Tim Bickmore
10 papers receiving 516 citations
Peers
Comparison fields: 5 of 73
- Human-Computer Interaction 103
- Social Psychology 348
- Artificial Intelligence 375
- Applied Psychology 24
- Experimental and Cognitive Psychology 62
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 17 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 | 246 | |
| 2 | 2001 | 97 | |
| 3 | MACK: Media lab Autonomous Conversational Kiosk | 2002 | 81 |
| 4 | 2000 | 62 | |
| 5 | 1999 | 37 | |
| 6 | 2018 | 32 | |
| 7 | An Architecture for Embodied Conversational Characters | 1998 | 31 |
| 8 | 1998 | 23 | |
| 9 | 1996 | 5 | |
| 10 | 2000 | 1 |
About Tim Bickmore
Tim Bickmore is a scholar working on Artificial Intelligence, Social Psychology, Health, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 615 indexed citations. Recurring topics across this work include Speech and dialogue systems (6 papers), Social Robot Interaction and HRI (6 papers), AI in Service Interactions (3 papers), Multi-Agent Systems and Negotiation (2 papers), Digital Mental Health Interventions (1 paper), Multimodal Machine Learning Applications (1 paper), Media Influence and Health (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Human-Computer Interaction (103 citations), Social Psychology (348 citations), Artificial Intelligence (375 citations), Applied Psychology (24 citations) and Experimental and Cognitive Psychology (62 citations). Tim Bickmore has collaborated with scholars based in United States and India. Frequent co-authors include Hannes Högni Vilhjálmsson, Justine Cassell, Hao Yan, Lee W. Campbell, Lisa Campbell, Stephan A. Gaehde, Abu S. Abdullah, Catherine Vaucelle, Kimiko Ryokai and Yukiko Nakano. Their work appears in journals such as Journal of Epidemiology and Global Health, Applied Artificial Intelligence, Knowledge-Based Systems, Eurographics and Advances in consciousness research.
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.