James Gibson
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
-
- Emotion and Mood Recognition
- Mental Health Research Topics
Papers in
-
- Speech and dialogue systems 6
- Topic Modeling 4
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- Video Analysis and Summarization 4
- Co-authors
- Shrikanth Narayanan (20 shared papers)David C. Atkins (9 shared papers)Panayiotis Georgiou (13 shared papers)Zac E. Imel (6 shared papers)Theodora Chaspari (5 shared papers)Chi-Chun Lee (3 shared papers)Daniel Bone (4 shared papers)Doğan Can (7 shared papers)
- Journals
- Geological Society of America Bulletin (3 papers)PeerJ Computer Science (1 paper)Comparative drama (1 paper)Shakespeare Quarterly (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
James Gibson
42 papers receiving 530 citations
Peers
Comparison fields: 5 of 112
- Applied Psychology 114
- Experimental and Cognitive Psychology 119
- Social Psychology 160
- Signal Processing 62
- Health Informatics 7
Countries citing papers authored by James Gibson
This map shows the geographic impact of James Gibson'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 James Gibson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Gibson more than expected).
Fields of papers citing papers by James Gibson
This network shows the impact of papers produced by James Gibson. 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 James Gibson. The network helps show where James Gibson may publish in the future.
Co-authors
The 25 scholars most cited alongside James Gibson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2019 | 63 | |
| 3 | 2021 | 53 | |
| 4 | 2016 | 38 | |
| 5 | 2015 | 36 | |
| 6 | 1964 | 32 | |
| 7 | 2016 | 23 | |
| 8 | 1981 | 17 | |
| 9 | 2014 | 17 | |
| 10 | 2018 | 16 | |
| 11 | 1982 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2013 | 14 | |
| 14 | 2017 | 13 | |
| 15 | 2011 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 1971 | 12 | |
| 18 | 2002 | 12 | |
| 19 | 2011 | 11 | |
| 20 | 1965 | 11 |
About James Gibson
James Gibson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Social Psychology and Signal Processing, having authored 47 papers that have together received 598 indexed citations. Recurring topics across this work include Speech and dialogue systems (6 papers), Music and Audio Processing (6 papers), Autism Spectrum Disorder Research (5 papers), Mental Health via Writing (5 papers), Digital Mental Health Interventions (5 papers), Geology and Paleoclimatology Research (4 papers), Topic Modeling (4 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Applied Psychology (114 citations), Experimental and Cognitive Psychology (119 citations), Social Psychology (160 citations), Signal Processing (62 citations) and Health Informatics (7 citations). James Gibson has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Shrikanth Narayanan, David C. Atkins, Panayiotis Georgiou, Zac E. Imel, Theodora Chaspari, Chi-Chun Lee, Daniel Bone, Doğan Can, Sture Nordholm and Tad Hirsch. Their work appears in journals such as Geological Society of America Bulletin, PeerJ Computer Science, Comparative drama, Shakespeare Quarterly and New England Journal of Medicine.
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.