Tom Gedeon
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Face recognition and analysis
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
Papers in
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- Emotion and Mood Recognition 53
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- Gaze Tracking and Assistive Technology 27
- Co-authors
- Roland Goecke (24 shared papers)Abhinav Dhall (29 shared papers)Nandita Sharma (13 shared papers)Simon Lucey (2 shared papers)Jyoti Joshi (7 shared papers)Patrick M. Wong (16 shared papers)David Ian Groves (1 shared paper)Warick M. Brown (1 shared paper)
- Journals
- Lecture notes in computer science (48 papers)IEEE Transactions on Affective Computing (5 papers)IEEE Transactions on Fuzzy Systems (3 papers)Oeconomia Copernicana (3 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)
- Partner nations
- AustraliaHungaryUnited States
In The Last Decade
Tom Gedeon
264 papers receiving 5.9k citations
Tom Gedeon's Hit Papers
Peers
Comparison fields: 5 of 162
- Experimental and Cognitive Psychology 2.6k
- Computer Vision and Pattern Recognition 2.6k
- Human-Computer Interaction 576
- Artificial Intelligence 1.6k
- Signal Processing 538
Countries citing papers authored by Tom Gedeon
This map shows the geographic impact of Tom Gedeon'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 Tom Gedeon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Gedeon more than expected).
Fields of papers citing papers by Tom Gedeon
This network shows the impact of papers produced by Tom Gedeon. 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 Tom Gedeon. The network helps show where Tom Gedeon may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Gedeon, 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 294 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Collecting Large, Richly Annotated Facial-Expression Databases from Movies Hit paper breakdown → | 2012 | 532 |
| 2 | 2011 | 427 | |
| 3 | 2012 | 414 | |
| 4 | 2000 | 288 | |
| 5 | 2015 | 254 | |
| 6 | 2004 | 199 | |
| 7 | 2014 | 192 | |
| 8 | 2011 | 191 | |
| 9 | 2017 | 180 | |
| 10 | 2013 | 153 | |
| 11 | 2021 | 151 | |
| 12 | 2019 | 124 | |
| 13 | 2016 | 123 | |
| 14 | 2018 | 110 | |
| 15 | 2020 | 107 | |
| 16 | 2015 | 91 | |
| 17 | 2013 | 88 | |
| 18 | 2022 | 83 | |
| 19 | 2014 | 77 | |
| 20 | 2001 | 69 |
About Tom Gedeon
Tom Gedeon is a scholar working on Experimental and Cognitive Psychology, Human-Computer Interaction, Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 294 papers that have together received 6.2k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (53 papers), Neural Networks and Applications (31 papers), EEG and Brain-Computer Interfaces (29 papers), Gaze Tracking and Assistive Technology (27 papers), Human Pose and Action Recognition (21 papers), Face and Expression Recognition (21 papers), Face recognition and analysis (18 papers) and Tactile and Sensory Interactions (17 papers). The work is most often cited by research in Experimental and Cognitive Psychology (2.6k citations), Computer Vision and Pattern Recognition (2.6k citations), Human-Computer Interaction (576 citations), Artificial Intelligence (1.6k citations) and Signal Processing (538 citations). Tom Gedeon has collaborated with scholars based in Australia, Hungary and United States. Frequent co-authors include Roland Goecke, Abhinav Dhall, Nandita Sharma, Simon Lucey, Jyoti Joshi, Patrick M. Wong, David Ian Groves, Warick M. Brown, Robert G. Barnes and Lászó T. Kóczy. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Affective Computing, IEEE Transactions on Fuzzy Systems, Oeconomia Copernicana and IEEE Transactions on Geoscience and Remote Sensing.
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.