Dmitry Laptev
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
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- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
Papers in
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- Advanced Image and Video Retrieval Techniques 4
- Medical Image Segmentation Techniques 3
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- Cell Image Analysis Techniques 3
- Co-authors
- Joachim M. Buhmann (5 shared papers)Nikolay Savinov (1 shared paper)Marc Pollefeys (1 shared paper)Aleksandra Wierzbicka (1 shared paper)Wojciech Jernajczyk (1 shared paper)Alexander Malafeev (1 shared paper)Robert Riener (1 shared paper)Stefan Bauer (1 shared paper)
- Journals
- Biological Cybernetics (1 paper)NeuroImage (1 paper)Frontiers in Neuroscience (1 paper)Lecture notes in computer science (1 paper)Pattern Recognition and Image Analysis (2 papers)
- Partner nations
- SwitzerlandRussiaUnited Kingdom
In The Last Decade
Dmitry Laptev
11 papers receiving 298 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 156
- Cognitive Neuroscience 101
- Media Technology 29
- Experimental and Cognitive Psychology 43
- Structural Biology 4
Countries citing papers authored by Dmitry Laptev
This map shows the geographic impact of Dmitry Laptev'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 Laptev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Laptev more than expected).
Fields of papers citing papers by Dmitry Laptev
This network shows the impact of papers produced by Dmitry Laptev. 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 Laptev. The network helps show where Dmitry Laptev may publish in the future.
Co-authors
The 22 scholars most cited alongside Dmitry Laptev, 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 | 2016 | 146 | |
| 2 | 2018 | 107 | |
| 3 | 2012 | 18 | |
| 4 | 2015 | 10 | |
| 5 | 2014 | 10 | |
| 6 | 2006 | 6 | |
| 7 | 2010 | 4 | |
| 8 | Stability of the saccadic system | 2006 | 2 |
| 9 | 2001 | 2 | |
| 10 | 2013 | 1 | |
| 11 | Short-term solar flare forecast | 2011 | 1 |
| 12 | 2014 | 0 |
About Dmitry Laptev
Dmitry Laptev is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Cognitive Neuroscience, Artificial Intelligence and Media Technology, having authored 12 papers that have together received 307 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Cell Image Analysis Techniques (3 papers), Medical Image Segmentation Techniques (3 papers), Image Processing Techniques and Applications (2 papers), Speech and Audio Processing (1 paper), Neuroscience of respiration and sleep (1 paper), Time Series Analysis and Forecasting (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (156 citations), Cognitive Neuroscience (101 citations), Media Technology (29 citations), Experimental and Cognitive Psychology (43 citations) and Structural Biology (4 citations). Dmitry Laptev has collaborated with scholars based in Switzerland, Russia and United Kingdom. Frequent co-authors include Joachim M. Buhmann, Nikolay Savinov, Marc Pollefeys, Aleksandra Wierzbicka, Wojciech Jernajczyk, Alexander Malafeev, Robert Riener, Stefan Bauer, Ximena Omlin and Adam Wichniak. Their work appears in journals such as Biological Cybernetics, NeuroImage, Frontiers in Neuroscience, Lecture notes in computer science and Pattern Recognition and Image Analysis.
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.