Senya Polikovsky
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- Emotion and Mood Recognition 4
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems 2
- Gaze Tracking and Assistive Technology 1
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- Human Pose and Action Recognition 4
- Face recognition and analysis 2
- Urban Studies top 5%
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- Anomaly Detection Techniques and Applications 2
- Speech and dialogue systems 1
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- Software Engineering Research 1
- Co-authors
- Yoshinari KamedaYuichi OhtaHongwei YiMichael J. BlackDaniel ScharsteinChun-Hao P. HuangEgidio RagoneseTakehisa Onisawa
- Cited by
- Experimental and Cognitive PsychologyHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- Scientific Data (1 paper)IEICE Transactions on Information and Systems (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
In The Last Decade
Senya Polikovsky
9 papers receiving 345 citations
Peers
Comparison fields: 5 of 40
- Experimental and Cognitive Psychology 193
- Human-Computer Interaction 81
- Computer Vision and Pattern Recognition 251
- Urban Studies 33
- Signal Processing 39
Countries citing papers authored by Senya Polikovsky
This map shows the geographic impact of Senya Polikovsky'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 Senya Polikovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Senya Polikovsky more than expected).
Fields of papers citing papers by Senya Polikovsky
This network shows the impact of papers produced by Senya Polikovsky. 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 Senya Polikovsky. The network helps show where Senya Polikovsky may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Senya Polikovsky, 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 | 2025 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 66 | |
| 5 | 2012 | 51 | |
| 6 | 2012 | 1 | |
| 7 | 2012 | 4 | |
| 8 | Detection and measurement of facial micro-expression characteristics for psychological analysis (ヒューマン情報処理) | 2010 | 10 |
| 9 | 2009 | 212 |
About Senya Polikovsky
Senya Polikovsky is a scholar working on Equine, Human-Computer Interaction, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 9 papers that have together received 352 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (4 papers), Human Pose and Action Recognition (4 papers), Face recognition and analysis (2 papers), Anomaly Detection Techniques and Applications (2 papers), Hand Gesture Recognition Systems (2 papers), Speech and dialogue systems (1 paper), Gaze Tracking and Assistive Technology (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (193 citations), Human-Computer Interaction (81 citations), Computer Vision and Pattern Recognition (251 citations), Urban Studies (33 citations) and Signal Processing (39 citations). Senya Polikovsky has collaborated with scholars based in Japan, Germany and Italy. Frequent co-authors include Yoshinari Kameda, Yuichi Ohta, Hongwei Yi, Michael J. Black, Daniel Scharstein, Chun-Hao P. Huang, Egidio Ragonese, Takehisa Onisawa, Hedvig Kjellström and Michael J. Black. Their work appears in journals such as Scientific Data, IEICE Transactions on Information and Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.