Dmitry Kit
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
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- Visual Attention and Saliency Detection
- Face and Expression Recognition
- Multimodal Machine Learning Applications
Papers in
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- Visual Attention and Saliency Detection 7
- Advanced Image and Video Retrieval Techniques 2
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- Gaze Tracking and Assistive Technology 7
- Co-authors
- Yun Fu (3 shared papers)Ming Shao (1 shared paper)Mary Hayhoe (7 shared papers)Brian Sullivan (5 shared papers)M. Pilar Aivar (4 shared papers)Matthew H. Tong (4 shared papers)Dana H. Ballard (2 shared papers)Praveen Yalagandula (3 shared papers)
- Journals
- Journal of Vision (6 papers)Cognitive Studies | Études cognitives (1 paper)Multisensory Research (1 paper)IEEE Transactions on Big Data (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Dmitry Kit
17 papers receiving 466 citations
Peers
Comparison fields: 5 of 71
- Human-Computer Interaction 77
- Computer Vision and Pattern Recognition 217
- Artificial Intelligence 192
- Cognitive Neuroscience 104
- Media Technology 39
Countries citing papers authored by Dmitry Kit
This map shows the geographic impact of Dmitry Kit'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 Dmitry Kit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Kit more than expected).
Fields of papers citing papers by Dmitry Kit
This network shows the impact of papers produced by Dmitry Kit. 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 Dmitry Kit. The network helps show where Dmitry Kit may publish in the future.
Co-authors
The 21 scholars most cited alongside Dmitry Kit, 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 | 2014 | 232 | |
| 2 | 2016 | 55 | |
| 3 | 2014 | 50 | |
| 4 | STAR: self-tuning aggregation for scalable monitoring | 2007 | 39 |
| 5 | 2013 | 33 | |
| 6 | 2008 | 28 | |
| 7 | 2013 | 12 | |
| 8 | 2011 | 9 | |
| 9 | 2016 | 8 | |
| 10 | 2014 | 4 | |
| 11 | 2016 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2014 | 1 | |
| 14 | PRISM: PRecision-Integrated Scalable Monitoring | 2008 | 1 |
| 15 | 2016 | 1 | |
| 16 | 2011 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2015 | 0 |
About Dmitry Kit
Dmitry Kit is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Computer Networks and Communications and Artificial Intelligence, having authored 18 papers that have together received 478 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (7 papers), Visual Attention and Saliency Detection (7 papers), Peer-to-Peer Network Technologies (3 papers), Visual perception and processing mechanisms (3 papers), Remote-Sensing Image Classification (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Spatial Cognition and Navigation (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Human-Computer Interaction (77 citations), Computer Vision and Pattern Recognition (217 citations), Artificial Intelligence (192 citations), Cognitive Neuroscience (104 citations) and Media Technology (39 citations). Dmitry Kit has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Yun Fu, Ming Shao, Mary Hayhoe, Brian Sullivan, M. Pilar Aivar, Matthew H. Tong, Dana H. Ballard, Praveen Yalagandula, Navendu Jain and Mike Dahlin. Their work appears in journals such as Journal of Vision, Cognitive Studies | Études cognitives, Multisensory Research, IEEE Transactions on Big Data and International Journal of Computer Vision.
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.