Ivan Skorokhodov
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- Computer Graphics and Visualization Techniques 5
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- Generative Adversarial Networks and Image Synthesis 7
- Video Analysis and Summarization 7
- Multimodal Machine Learning Applications 5
- Advanced Vision and Imaging 3
- Advanced Image Processing Techniques 3
- Human Pose and Action Recognition 2
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Sergey TulyakovMohamed ElhoseinyAliaksandr SiarohinPeter WonkaWilli MenapaceYiqun WangMenglei ChaiJian Ren
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (2 papers)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- United StatesSaudi ArabiaCanada
In The Last Decade
Ivan Skorokhodov
18 papers receiving 227 citations
Peers
Comparison fields: 5 of 39
- Computer Graphics and Computer-Aided Design 59
- Computer Vision and Pattern Recognition 192
- Geology 12
- Computational Mechanics 39
- Signal Processing 19
Countries citing papers authored by Ivan Skorokhodov
This map shows the geographic impact of Ivan Skorokhodov'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 Skorokhodov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Skorokhodov more than expected).
Fields of papers citing papers by Ivan Skorokhodov
This network shows the impact of papers produced by Ivan Skorokhodov. 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 Skorokhodov. The network helps show where Ivan Skorokhodov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ivan Skorokhodov, 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 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 14 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 12 | |
| 12 | 2023 | 16 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 25 | |
| 16 | 2022 | 14 | |
| 17 | 2022 | 102 | |
| 18 | Normalization Matters in Zero-Shot Learning | 2020 | 0 |
| 19 | 2020 | 5 | |
| 20 | Semi-Supervised Neural Machine Translation with Language Models. | 2018 | 9 |
About Ivan Skorokhodov
Ivan Skorokhodov is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 20 papers that have together received 238 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (7 papers), Video Analysis and Summarization (7 papers), Multimodal Machine Learning Applications (5 papers), Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (3 papers), Advanced Image Processing Techniques (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (59 citations), Computer Vision and Pattern Recognition (192 citations) and Geology (12 citations). Ivan Skorokhodov has collaborated with scholars based in United States, Saudi Arabia and Canada. Frequent co-authors include Sergey Tulyakov, Mohamed Elhoseiny, Aliaksandr Siarohin, Peter Wonka, Willi Menapace, Yiqun Wang, Menglei Chai, Jian Ren, Andrea Tagliasacchi and Hsin-Ying Lee. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.