Dmitri Bitouk
Impact in
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- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Face and Expression Recognition
- Digital Media Forensic Detection
- Signal Processing top 5%
- Speech and Audio Processing
- Biometric Identification and Security
Papers in
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- Face recognition and analysis 5
- Advanced Vision and Imaging 2
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- Speech and Audio Processing 3
- 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 I. Miller (3 shared papers)Laurent Younès (1 shared paper)Ulf Grenander (1 shared paper)
- Journals
- Speech Communication (1 paper)ACM Transactions on Graphics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Columbia Academic Commons (Columbia University) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United States
In The Last Decade
Dmitri Bitouk
8 papers receiving 469 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 336
- Signal Processing 163
- Experimental and Cognitive Psychology 145
- Pharmacy 24
- Computer Graphics and Computer-Aided Design 13
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 9 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 | 224 | |
| 2 | 2010 | 167 | |
| 3 | 2008 | 82 | |
| 4 | 2009 | 6 | |
| 5 | 2008 | 4 | |
| 6 | Head-pose and illumination invariant three-dimensional audio-visual speech recognition | 2007 | 2 |
| 7 | 2007 | 1 | |
| 8 | 2001 | 1 | |
| 9 | 2005 | 0 |
About Dmitri Bitouk
Dmitri Bitouk is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Control and Systems Engineering and Experimental and Cognitive Psychology, having authored 9 papers that have together received 487 indexed citations. Recurring topics across this work include Face recognition and analysis (5 papers), Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (2 papers), Emotion and Mood Recognition (2 papers), Human Motion and Animation (2 papers), Advanced Vision and Imaging (2 papers), Radar Systems and Signal Processing (1 paper) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (336 citations), Signal Processing (163 citations), Experimental and Cognitive Psychology (145 citations), Pharmacy (24 citations) and Computer Graphics and Computer-Aided Design (13 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, Neeraj Kumar, Michael I. Miller, Laurent Younès and Ulf Grenander. Their work appears in journals such as Speech Communication, ACM Transactions on Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, Columbia Academic Commons (Columbia University) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.