S. A. Bibikov
- Media Technology top 5%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Cognitive Neuroscience
- Atomic and Molecular Physics, and Optics
- Co-authors
- Артем НиконоровVladimir FursovNikolay L. KazanskiyPavel YakimovР. В. СкидановА.А. MorozovRonald SladkyFrank Scharnowski
- Topics
- Advanced Vision and Imaging (9 papers)Image Processing Techniques and Applications (8 papers)Remote-Sensing Image Classification (6 papers)
- Journals
- NeuroImagePattern Recognition LettersIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Partner nations
- RussiaSwitzerlandUnited Kingdom
In The Last Decade
S. A. Bibikov
26 papers receiving 311 citations
Peers
Comparison fields: 5 of 68
- Media Technology 114
- Computer Vision and Pattern Recognition 108
- Biomedical Engineering 82
- Cognitive Neuroscience 61
- Atomic and Molecular Physics, and Optics 55
Countries citing papers authored by S. A. Bibikov
This map shows the geographic impact of S. A. Bibikov'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 S. A. Bibikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. A. Bibikov more than expected).
Fields of papers citing papers by S. A. Bibikov
This network shows the impact of papers produced by S. A. Bibikov. 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 S. A. Bibikov. The network helps show where S. A. Bibikov may publish in the future.
Co-authorship network of co-authors of S. A. Bibikov
This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Bibikov. A scholar is included among the top collaborators of S. A. Bibikov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. A. Bibikov. S. A. Bibikov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 5 | |
| 7 | 23 | |
| 8 | 11 | |
| 9 | 55 | |
| 10 | 46 | |
| 11 | 6 | |
| 12 | 20 | |
| 13 | 20 | |
| 14 | 0 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 3 |
About S. A. Bibikov
S. A. Bibikov is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Image Processing Techniques and Applications (8 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Media Technology (114 citations), Computer Vision and Pattern Recognition (108 citations) and Cognitive Neuroscience (61 citations). S. A. Bibikov has collaborated with scholars based in Russia, Switzerland and United Kingdom. Frequent co-authors include Артем Никоноров, Vladimir Fursov, Nikolay L. Kazanskiy, Pavel Yakimov, Р. В. Скиданов, А.А. Morozov, Ronald Sladky, Frank Scharnowski, Yury Koush and Peter Zeidman. Their work appears in journals such as NeuroImage, Pattern Recognition Letters and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.