Sergei Obiedkov
About
In The Last Decade
Sergei Obiedkov
18 papers receiving 505 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 413
- Artificial Intelligence 284
- Information Systems 245
- Signal Processing 144
- Management Science and Operations Research 62
Countries citing papers authored by Sergei Obiedkov
This map shows the geographic impact of Sergei Obiedkov'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 Sergei Obiedkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergei Obiedkov more than expected).
Fields of papers citing papers by Sergei Obiedkov
This network shows the impact of papers produced by Sergei Obiedkov. 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 Sergei Obiedkov. The network helps show where Sergei Obiedkov may publish in the future.
Co-authorship network of co-authors of Sergei Obiedkov
This figure shows the co-authorship network connecting the top 25 collaborators of Sergei Obiedkov. A scholar is included among the top collaborators of Sergei Obiedkov 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 Sergei Obiedkov. Sergei Obiedkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 10 | |
| 5 | 57 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | Comparing performance of algorithms for generating the Duquenne–Guigues basis | 8 |
| 9 | Approaches to the Selection of Relevant Concepts in the Case of Noisy Data | 21 |
| 10 | 2 | |
| 11 | 30 | |
| 12 | 30 | |
| 13 | 17 | |
| 14 | Proceedings of the 6th international conference on Formal concept analysis | 6 |
| 15 | 26 | |
| 16 | 29 | |
| 17 | TABASCO : using concept-based taxonomies in domain engineering : reviewed article | 0 |
| 18 | TABASCO: using concept-based taxonomies in domain engineering. | 5 |
| 19 | 288 | |
| 20 | On a version of Mill's method of difference | 1 |
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.