Olga Gerasimova
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Media Technology top 10%
- Statistical and Nonlinear Physics
- Information Systems
- Co-authors
- Ilya MakarovLeonid ZhukovSergey NikolenkoHaoliang WangMichael ZakharyaschevStanislav KikotYu. P. RazmyslovVladimir V. Podolskii
- Topics
- Advanced Graph Neural Networks (5 papers)Complex Network Analysis Techniques (4 papers)Advanced Vision and Imaging (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessArtificial Intelligence
- Partner nations
- RussiaTajikistanSlovenia
In The Last Decade
Olga Gerasimova
20 papers receiving 154 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 84
- Artificial Intelligence 70
- Media Technology 40
- Statistical and Nonlinear Physics 32
- Information Systems 14
Countries citing papers authored by Olga Gerasimova
This map shows the geographic impact of Olga Gerasimova'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 Olga Gerasimova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Gerasimova more than expected).
Fields of papers citing papers by Olga Gerasimova
This network shows the impact of papers produced by Olga Gerasimova. 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 Olga Gerasimova. The network helps show where Olga Gerasimova may publish in the future.
Co-authorship network of co-authors of Olga Gerasimova
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Gerasimova. A scholar is included among the top collaborators of Olga Gerasimova 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 Olga Gerasimova. Olga Gerasimova 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 | 2 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 16 | |
| 6 | 14 | |
| 7 | 20 | |
| 8 | Towards a Data Complexity Classification of Ontology-Mediated Queries with Covering. | 2 |
| 9 | 0 | |
| 10 | 11 | |
| 11 | On the data complexity of ontology-mediated queries with a covering axiom | 3 |
| 12 | 2 | |
| 13 | 25 | |
| 14 | 17 | |
| 15 | Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game | 2 |
| 16 | 14 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Olga Gerasimova
Olga Gerasimova is a scholar working on Theoretical Computer Science, Geometry and Topology and Statistical and Nonlinear Physics, having authored 22 papers that have together received 158 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Media Technology (40 citations), Computer Vision and Pattern Recognition (84 citations) and Statistical and Nonlinear Physics (32 citations). Olga Gerasimova has collaborated with scholars based in Russia, Tajikistan and Slovenia. Frequent co-authors include Ilya Makarov, Leonid Zhukov, Sergey Nikolenko, Haoliang Wang, Michael Zakharyaschev, Stanislav Kikot, Yu. P. Razmyslov, Vladimir V. Podolskii, Gleb Pogudin and Agi Kurucz. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Artificial Intelligence.
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.