Oleg Okun
About
In The Last Decade
Oleg Okun
27 papers receiving 450 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 263
- Artificial Intelligence 179
- Molecular Biology 80
- Signal Processing 59
- Media Technology 49
Countries citing papers authored by Oleg Okun
This map shows the geographic impact of Oleg Okun'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 Oleg Okun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleg Okun more than expected).
Fields of papers citing papers by Oleg Okun
This network shows the impact of papers produced by Oleg Okun. 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 Oleg Okun. The network helps show where Oleg Okun may publish in the future.
Co-authorship network of co-authors of Oleg Okun
This figure shows the co-authorship network connecting the top 25 collaborators of Oleg Okun. A scholar is included among the top collaborators of Oleg Okun 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 Oleg Okun. Oleg Okun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Protein Fold Recognition with K-Local Hyperplane Distance Nearest Neighbor Algorithm | 4 |
| 2 | 23 | |
| 3 | 36 | |
| 4 | 30 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 2 | |
| 8 | Proceedings of the the Second Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA) | 2 |
| 9 | 26 | |
| 10 | 4 | |
| 11 | Selection of more than one gene at a time for cancer prediction from gene expression data | 1 |
| 12 | 1 | |
| 13 | 24 | |
| 14 | 13 | |
| 15 | 72 | |
| 16 | Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine | 21 |
| 17 | Selection of the Optimal Parameter value for the Locally Linear Embedding Algorithm. | 86 |
| 18 | 6 | |
| 19 | 24 | |
| 20 | 23 |
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.