Brian T. Gill
- Social Psychology top 2%
- Cognitive Neuroscience top 5%
- Sociology and Political Science top 5%
- Human-Computer Interaction top 1%
- Artificial Intelligence top 5%
- Co-authors
- Peter H. KahnRachel L. SeversonBatya FriedmanJolina H. RuckertTakayuki KandaHiroshi IshiguroSolace ShenNathan G. Freier
- Topics
- Social Robot Interaction and HRI (9 papers)Innovative Human-Technology Interaction (6 papers)Child and Animal Learning Development (5 papers)
- Journals
- Developmental PsychologyArteriosclerosis Thrombosis and Vascular BiologyJournal of Environmental Psychology
- Partner nations
- United StatesJapanSweden
In The Last Decade
Brian T. Gill
28 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 124
- Social Psychology 591
- Cognitive Neuroscience 334
- Sociology and Political Science 303
- Human-Computer Interaction 279
- Artificial Intelligence 277
Countries citing papers authored by Brian T. Gill
This map shows the geographic impact of Brian T. Gill'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 Brian T. Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Gill more than expected).
Fields of papers citing papers by Brian T. Gill
This network shows the impact of papers produced by Brian T. Gill. 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 Brian T. Gill. The network helps show where Brian T. Gill may publish in the future.
Co-authorship network of co-authors of Brian T. Gill
This figure shows the co-authorship network connecting the top 25 collaborators of Brian T. Gill. A scholar is included among the top collaborators of Brian T. Gill 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 Brian T. Gill. Brian T. Gill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Changing the Principal Supervisor Role to Better Support Principals: Evidence from the Principal Supervisor Initiative. | 6 |
| 2 | 26 | |
| 3 | 13 | |
| 4 | 49 | |
| 5 | 15 | |
| 6 | 11 | |
| 7 | 268 | |
| 8 | Validating characterizations of sociality in HRI | 2 |
| 9 | 80 | |
| 10 | 81 | |
| 11 | 90 | |
| 12 | Coding Manual for the "Robovie, You Need to Go into the Closet Now!" Study | 1 |
| 13 | 95 | |
| 14 | 32 | |
| 15 | 122 | |
| 16 | 25 | |
| 17 | 163 | |
| 18 | 92 | |
| 19 | 6 | |
| 20 | 90 |
About Brian T. Gill
Brian T. Gill is a scholar working on Human-Computer Interaction, Social Psychology and Developmental and Educational Psychology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (9 papers), Innovative Human-Technology Interaction (6 papers) and Child and Animal Learning Development (5 papers). The work is most often cited by research in Human-Computer Interaction (279 citations), Social Psychology (591 citations) and Safety Research (180 citations). Brian T. Gill has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Peter H. Kahn, Rachel L. Severson, Batya Friedman, Jolina H. Ruckert, Takayuki Kanda, Hiroshi Ishiguro, Solace Shen, Nathan G. Freier, Alan Borning and Jennifer Hagman. Their work appears in journals such as Developmental Psychology, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Environmental Psychology.
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.