Dmitry Laptev
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
Papers in
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- Cell Image Analysis Techniques 4
-
- Medical Image Segmentation Techniques 4
- Advanced Neural Network Applications 3
- Face and Expression Recognition 1
- Advanced Image Processing Techniques 1
- Co-authors
- Joachim M. Buhmann (6 shared papers)Marc Pollefeys (1 shared paper)Nikolay Savinov (1 shared paper)Aleksandra Wierzbicka (1 shared paper)Adam Wichniak (1 shared paper)Robert Riener (1 shared paper)Alexander Malafeev (1 shared paper)Ximena Omlin (1 shared paper)
- Journals
- Frontiers in Neuroscience (1 paper)Frontiers in Neuroanatomy (1 paper)Lecture notes in computer science (2 papers)Pattern Recognition and Image Analysis (2 papers)IEEE International Symposium on Biomedical Imaging (ISBI) (1 paper)
- Partner nations
- SwitzerlandRussiaGermany
In The Last Decade
Dmitry Laptev
10 papers receiving 625 citations
Peers
Comparison fields: 5 of 69
- Biophysics 110
- Structural Biology 32
- Computer Vision and Pattern Recognition 332
- Cognitive Neuroscience 99
- Media Technology 22
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 16 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 | 2015 | 269 | |
| 2 | 2016 | 190 | |
| 3 | 2018 | 111 | |
| 4 | 2012 | 23 | |
| 5 | 2014 | 14 | |
| 6 | 2015 | 12 | |
| 7 | 2014 | 10 | |
| 8 | 2010 | 4 | |
| 9 | Short-term solar flare forecast | 2011 | 1 |
| 10 | 2013 | 1 | |
| 11 | 2014 | 0 |
About Dmitry Laptev
Dmitry Laptev is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Astronomy and Astrophysics and Information Systems, having authored 11 papers that have together received 635 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Cell Image Analysis Techniques (4 papers), Advanced Neural Network Applications (3 papers), Face and Expression Recognition (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), EEG and Brain-Computer Interfaces (1 paper), Solar and Space Plasma Dynamics (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Biophysics (110 citations), Structural Biology (32 citations), Computer Vision and Pattern Recognition (332 citations), Cognitive Neuroscience (99 citations) and Media Technology (22 citations). Dmitry Laptev has collaborated with scholars based in Switzerland, Russia and Germany. Frequent co-authors include Joachim M. Buhmann, Marc Pollefeys, Nikolay Savinov, Aleksandra Wierzbicka, Adam Wichniak, Robert Riener, Alexander Malafeev, Ximena Omlin, Stefan Bauer and Wojciech Jernajczyk. Their work appears in journals such as Frontiers in Neuroscience, Frontiers in Neuroanatomy, Lecture notes in computer science, Pattern Recognition and Image Analysis and IEEE International Symposium on Biomedical Imaging (ISBI).
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.