Irina A. Kogan
- Statistical and Nonlinear Physics top 10%
- Computer Vision and Pattern Recognition top 10%
- Geometry and Topology top 10%
- Computational Mechanics
- Computational Theory and Mathematics top 10%
- Co-authors
- Évelyne HubertPeter J. OlverHamid KrimMatthias NicolaBerni SchieferMarc Moreno MazaDmitry V. ZenkovHoon Hong
- Topics
- Nonlinear Waves and Solitons (5 papers)Image Processing and 3D Reconstruction (5 papers)Advanced Numerical Analysis Techniques (5 papers)
- Journals
- Communications in Partial Differential EquationsCanadian Journal of MathematicsJournal of Mathematical Imaging and Vision
- Partner nations
- United StatesFranceCanada
In The Last Decade
Irina A. Kogan
18 papers receiving 246 citations
Peers
Comparison fields: 5 of 48
- Statistical and Nonlinear Physics 81
- Computer Vision and Pattern Recognition 77
- Geometry and Topology 62
- Computational Mechanics 57
- Computational Theory and Mathematics 55
Countries citing papers authored by Irina A. Kogan
This map shows the geographic impact of Irina A. Kogan'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 Irina A. Kogan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina A. Kogan more than expected).
Fields of papers citing papers by Irina A. Kogan
This network shows the impact of papers produced by Irina A. Kogan. 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 Irina A. Kogan. The network helps show where Irina A. Kogan may publish in the future.
Co-authorship network of co-authors of Irina A. Kogan
This figure shows the co-authorship network connecting the top 25 collaborators of Irina A. Kogan. A scholar is included among the top collaborators of Irina A. Kogan 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 Irina A. Kogan. Irina A. Kogan 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 | 1 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 47 | |
| 13 | 26 | |
| 14 | 32 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 19 | |
| 18 | 51 | |
| 19 | 16 |
About Irina A. Kogan
Irina A. Kogan is a scholar working on Computer Graphics and Computer-Aided Design, Mathematical Physics and Statistical and Nonlinear Physics, having authored 19 papers that have together received 277 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (5 papers), Image Processing and 3D Reconstruction (5 papers) and Advanced Numerical Analysis Techniques (5 papers). The work is most often cited by research in Computational Mathematics (5 citations), Algebra and Number Theory (34 citations) and Geometry and Topology (62 citations). Irina A. Kogan has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Évelyne Hubert, Peter J. Olver, Hamid Krim, Matthias Nicola, Berni Schiefer, Marc Moreno Maza, Dmitry V. Zenkov, Hoon Hong, Helge Kristian Jenssen and Shuo Feng. Their work appears in journals such as Communications in Partial Differential Equations, Canadian Journal of Mathematics and Journal of Mathematical Imaging and Vision.
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.