Daniel Schulman
- Artificial Intelligence top 5%
- Social Psychology top 5%
- Applied Psychology top 2%
- Pathology and Forensic Medicine top 10%
- General Health Professions top 10%
- Co-authors
- Timothy BickmoreDavid S. LatchmanDerek M. YellonCandace L. SidnerLangxuan YinLazlo RingLaura VardoulakisBrian W. Jack
- Topics
- Social Robot Interaction and HRI (12 papers)AI in Service Interactions (9 papers)Digital Mental Health Interventions (6 papers)
- Journals
- AnesthesiologyAmerican Journal of Physiology-Heart and Circulatory PhysiologyJournal of the American Academy of Dermatology
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Daniel Schulman
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 286
- Social Psychology 278
- Applied Psychology 266
- Pathology and Forensic Medicine 193
- General Health Professions 173
Countries citing papers authored by Daniel Schulman
This map shows the geographic impact of Daniel Schulman'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 Daniel Schulman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schulman more than expected).
Fields of papers citing papers by Daniel Schulman
This network shows the impact of papers produced by Daniel Schulman. 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 Daniel Schulman. The network helps show where Daniel Schulman may publish in the future.
Co-authorship network of co-authors of Daniel Schulman
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Schulman. A scholar is included among the top collaborators of Daniel Schulman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Schulman. Daniel Schulman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 65 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 139 | |
| 8 | An Intelligent Conversational Agent for Promoting Long-Term Health Behavior Change Using Motivational Interviewing. | 24 |
| 9 | 88 | |
| 10 | Posture, relationship, and discourse structure models of nonverbal behavior for long-term interaction | 2 |
| 11 | 143 | |
| 12 | 20 | |
| 13 | 10 | |
| 14 | 9 | |
| 15 | 17 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 10 |
About Daniel Schulman
Daniel Schulman is a scholar working on Applied Psychology, Human-Computer Interaction and Social Psychology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (12 papers), AI in Service Interactions (9 papers) and Digital Mental Health Interventions (6 papers). The work is most often cited by research in Applied Psychology (266 citations), Human-Computer Interaction (138 citations) and Developmental Neuroscience (87 citations). Daniel Schulman has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Timothy Bickmore, David S. Latchman, Derek M. Yellon, Candace L. Sidner, Langxuan Yin, Lazlo Ring, Laura Vardoulakis, Brian W. Jack, Leanne Yinusa-Nyahkoon and Mark Hempstead. Their work appears in journals such as Anesthesiology, American Journal of Physiology-Heart and Circulatory Physiology and Journal of the American Academy of Dermatology.
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.