Stanislav Busygin
About
In The Last Decade
Stanislav Busygin
10 papers receiving 315 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 111
- Artificial Intelligence 110
- Computational Theory and Mathematics 98
- Computer Networks and Communications 47
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Stanislav Busygin
This map shows the geographic impact of Stanislav Busygin'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 Stanislav Busygin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanislav Busygin more than expected).
Fields of papers citing papers by Stanislav Busygin
This network shows the impact of papers produced by Stanislav Busygin. 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 Stanislav Busygin. The network helps show where Stanislav Busygin may publish in the future.
Co-authorship network of co-authors of Stanislav Busygin
This figure shows the co-authorship network connecting the top 25 collaborators of Stanislav Busygin. A scholar is included among the top collaborators of Stanislav Busygin 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 Stanislav Busygin. Stanislav Busygin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 164 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 76 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 28 | |
| 9 | On ~chi(G)-alpha(G)>0 gap recognition and alpha(G)-upper bounds | 1 |
| 10 | 36 |
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.