Stepan Tulyakov
Impact in
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- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Enhancement Techniques
Papers in
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- Advanced Vision and Imaging 5
- Advanced Image Processing Techniques 4
- Optical measurement and interference techniques 2
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- Planetary Science and Exploration 3
- Astro and Planetary Science 3
- Co-authors
- François Fleuret (5 shared papers)A. B. Ivanov (3 shared papers)Stamatios Georgoulis (1 shared paper)Davide Scaramuzza (1 shared paper)Daniel Gehrig (1 shared paper)Peter Gehler (2 shared papers)Michael Hirsch (2 shared papers)Martin Kiefel (2 shared papers)
- Journals
- Planetary and Space Science (1 paper)Advances in Space Research (1 paper)Geophysical Research Letters (1 paper)PLoS ONE (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- SwitzerlandFranceItaly
In The Last Decade
Stepan Tulyakov
12 papers receiving 270 citations
Peers
Comparison fields: 5 of 47
- Acoustics and Ultrasonics 8
- Computer Vision and Pattern Recognition 149
- Media Technology 39
- Instrumentation 13
- Astronomy and Astrophysics 50
Countries citing papers authored by Stepan Tulyakov
This map shows the geographic impact of Stepan Tulyakov'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 Stepan Tulyakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stepan Tulyakov more than expected).
Fields of papers citing papers by Stepan Tulyakov
This network shows the impact of papers produced by Stepan Tulyakov. 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 Stepan Tulyakov. The network helps show where Stepan Tulyakov may publish in the future.
Co-authors
The 22 scholars most cited alongside Stepan Tulyakov, 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 | 2022 | 83 | |
| 2 | 2019 | 60 | |
| 3 | 2018 | 39 | |
| 4 | 2017 | 32 | |
| 5 | 2019 | 23 | |
| 6 | 2021 | 15 | |
| 7 | 2017 | 10 | |
| 8 | 2019 | 7 | |
| 9 | 2019 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2013 | 2 | |
| 12 | Learning an event sequence embedding for event-based deep stereo | 2019 | 1 |
About Stepan Tulyakov
Stepan Tulyakov is a scholar working on Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Media Technology, Aerospace Engineering and Electrical and Electronic Engineering, having authored 12 papers that have together received 280 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Advanced Image Processing Techniques (4 papers), Image Processing Techniques and Applications (3 papers), Planetary Science and Exploration (3 papers), Astro and Planetary Science (3 papers), Optical measurement and interference techniques (2 papers), Advanced Memory and Neural Computing (2 papers) and Coastal and Marine Dynamics (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (8 citations), Computer Vision and Pattern Recognition (149 citations), Media Technology (39 citations), Instrumentation (13 citations) and Astronomy and Astrophysics (50 citations). Stepan Tulyakov has collaborated with scholars based in Switzerland, France and Italy. Frequent co-authors include François Fleuret, A. B. Ivanov, Stamatios Georgoulis, Davide Scaramuzza, Daniel Gehrig, Peter Gehler, Michael Hirsch, Martin Kiefel, N. Thomas and G. Cremonese. Their work appears in journals such as Planetary and Space Science, Advances in Space Research, Geophysical Research Letters, PLoS ONE and SHILAP Revista de lepidopterología.
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.