Casey C. Bennett
- Health Informatics top 2%
- Human-Computer Interaction top 2%
- Innovative Human-Technology Interaction 8
- Applied Psychology top 5%
- Digital Mental Health Interventions 11
- Social Psychology top 2%
- Social Robot Interaction and HRI 24
-
- AI in Service Interactions 8
- Machine Learning in Healthcare 5
-
- Face Recognition and Perception 7
-
- Face recognition and analysis 5
-
- Mental Health Research Topics 5
- Co-authors
- Selma ŠabanovićKris HauserWan-Ling ChangLesa HuberJennifer PiattHee Rin LeeShinichi NagataDavid Hakken
- Journals
- Artificial Intelligence in Medicine (1 paper)Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems (1 paper)Advanced Robotics (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Casey C. Bennett
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 136
- Health Informatics 68
- Human-Computer Interaction 183
- Applied Psychology 138
- Social Psychology 462
- Health Information Management 55
Countries citing papers authored by Casey C. Bennett
This map shows the geographic impact of Casey C. Bennett'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 Casey C. Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey C. Bennett more than expected).
Fields of papers citing papers by Casey C. Bennett
This network shows the impact of papers produced by Casey C. Bennett. 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 Casey C. Bennett. The network helps show where Casey C. Bennett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Casey C. Bennett, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 10 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2013 | 13 | |
| 14 | 2013 | 13 | |
| 15 | 2012 | 26 | |
| 16 | 2012 | 224 | |
| 17 | Data Mining and Electronic Health Records: Selecting Optimal Clinical Treatments in Practice | 2011 | 9 |
| 18 | 2010 | 7 | |
| 19 | 2010 | 0 | |
| 20 | 2006 | 2 |
About Casey C. Bennett
Casey C. Bennett is a scholar working on Applied Psychology, Human-Computer Interaction and Social Psychology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (24 papers), Digital Mental Health Interventions (11 papers), AI in Service Interactions (8 papers), Innovative Human-Technology Interaction (8 papers), Face Recognition and Perception (7 papers), Face recognition and analysis (5 papers), Mental Health Research Topics (5 papers) and Machine Learning in Healthcare (5 papers). The work is most often cited by research in Health Informatics (68 citations), Human-Computer Interaction (183 citations) and Applied Psychology (138 citations). Casey C. Bennett has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Selma Šabanović, Kris Hauser, Wan-Ling Chang, Lesa Huber, Jennifer Piatt, Hee Rin Lee, Shinichi Nagata, David Hakken, Natasha Randall and Lori Ann Eldridge. Their work appears in journals such as Artificial Intelligence in Medicine, Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems, Advanced Robotics, International Journal of Human-Computer Interaction and Future Internet.
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.