Ivan Kobyzev
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Gaussian Processes and Bayesian Inference
- Topic Modeling
- Neural Networks and Applications
Papers in
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- Topic Modeling 10
- Natural Language Processing Techniques 8
- Domain Adaptation and Few-Shot Learning 3
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- Multimodal Machine Learning Applications 3
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Marcus A. Brubaker (3 shared papers)Simon J. D. Prince (1 shared paper)Mehdi Rezagholizadeh (10 shared papers)Ali Ghodsi (4 shared papers)Mojtaba Valipour (1 shared paper)Yaoliang Yu (2 shared papers)Priyank Jaini (2 shared papers)Olga Vechtomova (2 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Applied Categorical Structures (1 paper)Symmetry Integrability and Geometry Methods and Applications (1 paper)Journal of Mathematical Sciences (1 paper)
In The Last Decade
Ivan Kobyzev
14 papers receiving 856 citations
Ivan Kobyzev's Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 228
- Artificial Intelligence 351
- Signal Processing 85
- Statistical and Nonlinear Physics 93
- Statistics, Probability and Uncertainty 41
Countries citing papers authored by Ivan Kobyzev
This map shows the geographic impact of Ivan Kobyzev'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 Ivan Kobyzev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Kobyzev more than expected).
Fields of papers citing papers by Ivan Kobyzev
This network shows the impact of papers produced by Ivan Kobyzev. 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 Ivan Kobyzev. The network helps show where Ivan Kobyzev may publish in the future.
Co-authors
The 20 scholars most cited alongside Ivan Kobyzev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Normalizing Flows: An Introduction and Review of Current Methods Hit paper breakdown → | 2020 | 776 |
| 2 | 2023 | 61 | |
| 3 | Tails of Lipschitz Triangular Flows | 2020 | 8 |
| 4 | 2021 | 8 | |
| 5 | 2025 | 7 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2019 | 2 | |
| 10 | 2023 | 2 | |
| 11 | Tails of Triangular Flows. | 2019 | 2 |
| 12 | 2023 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2013 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 |
About Ivan Kobyzev
Ivan Kobyzev is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Geometry and Topology, Mathematical Physics and Algebra and Number Theory, having authored 19 papers that have together received 879 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers), Domain Adaptation and Few-Shot Learning (3 papers), Algebraic structures and combinatorial models (3 papers), Multimodal Machine Learning Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Homotopy and Cohomology in Algebraic Topology (2 papers) and Advanced Topics in Algebra (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (228 citations), Artificial Intelligence (351 citations), Signal Processing (85 citations), Statistical and Nonlinear Physics (93 citations) and Statistics, Probability and Uncertainty (41 citations). Ivan Kobyzev has collaborated with scholars based in Canada, Sweden and Austria. Frequent co-authors include Marcus A. Brubaker, Simon J. D. Prince, Mehdi Rezagholizadeh, Ali Ghodsi, Mojtaba Valipour, Yaoliang Yu, Priyank Jaini, Olga Vechtomova, Peng Lu and Vahid Partovi Nia. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Applied Categorical Structures, Symmetry Integrability and Geometry Methods and Applications and Journal of Mathematical Sciences.
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.