Dmitri Bitouk
Impact in
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- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Digital Media Forensic Detection
- Medical Image Segmentation Techniques
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- Emotion and Mood Recognition
Papers in
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- Speech and Audio Processing 3
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- Face recognition and analysis 4
- Co-authors
- Shree K. Nayar (4 shared papers)Peter N. Belhumeur (2 shared papers)Ragini Verma (2 shared papers)Ani Nenkova (2 shared papers)Neeraj Kumar (1 shared paper)Michael Miller (4 shared papers)Anqi Qiu (1 shared paper)Laurent Younes B (1 shared paper)
- Journals
- ACM Transactions on Graphics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Medical Imaging (1 paper)Speech Communication (1 paper)Proceedings of the IEEE Virtual Reality Annual International Symposium (1 paper)
- Partner nations
- United States
In The Last Decade
Dmitri Bitouk
10 papers receiving 668 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 374
- Experimental and Cognitive Psychology 178
- Computer Graphics and Computer-Aided Design 34
- Signal Processing 32
- Computational Mathematics 2
Countries citing papers authored by Dmitri Bitouk
This map shows the geographic impact of Dmitri Bitouk'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 Dmitri Bitouk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitri Bitouk more than expected).
Fields of papers citing papers by Dmitri Bitouk
This network shows the impact of papers produced by Dmitri Bitouk. 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 Dmitri Bitouk. The network helps show where Dmitri Bitouk may publish in the future.
Co-authors
The 10 scholars most cited alongside Dmitri Bitouk, 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 | 2008 | 272 | |
| 2 | 2010 | 188 | |
| 3 | 2006 | 103 | |
| 4 | 2008 | 103 | |
| 5 | 2009 | 7 | |
| 6 | 2008 | 5 | |
| 7 | 2005 | 2 | |
| 8 | Head-pose and illumination invariant three-dimensional audio-visual speech recognition | 2007 | 2 |
| 9 | 2001 | 1 | |
| 10 | 2007 | 1 |
About Dmitri Bitouk
Dmitri Bitouk is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Control and Systems Engineering and Aerospace Engineering, having authored 10 papers that have together received 684 indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Speech and Audio Processing (3 papers), Radar Systems and Signal Processing (2 papers), Human Motion and Animation (2 papers), Emotion and Mood Recognition (2 papers), Topological and Geometric Data Analysis (1 paper), Advanced Measurement and Detection Methods (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (374 citations), Experimental and Cognitive Psychology (178 citations), Computer Graphics and Computer-Aided Design (34 citations), Signal Processing (32 citations) and Computational Mathematics (2 citations). Dmitri Bitouk has collaborated with scholars based in United States. Frequent co-authors include Shree K. Nayar, Peter N. Belhumeur, Ragini Verma, Ani Nenkova, Neeraj Kumar, Michael Miller, Anqi Qiu, Neeraj Kumar, Laurent Younes B and Ulf Grenander. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging, Speech Communication and Proceedings of the IEEE Virtual Reality Annual International Symposium.
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.