Chaim Baskin
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Human Pose and Action Recognition
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- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
Papers in
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- Neural Networks and Applications 4
- Anomaly Detection Techniques and Applications 3
- Adversarial Robustness in Machine Learning 2
- Machine Learning and Data Classification 2
- Advanced Graph Neural Networks 2
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- Advanced Neural Network Applications 5
- Multimodal Machine Learning Applications 1
- Co-authors
- Evgenii Zheltonozhskii (6 shared papers)Avi Mendelson (6 shared papers)Alex Bronstein (4 shared papers)Or Litany (1 shared paper)Uri Alon (1 shared paper)Freddy Gabbay (1 shared paper)Raja Giryes (1 shared paper)Alexander M. Bronstein (1 shared paper)
- Journals
- Sustainability (1 paper)Applied Intelligence (1 paper)Neurocomputing (1 paper)Mathematics (2 papers)MDPI (MDPI AG) (1 paper)
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
Chaim Baskin
12 papers receiving 193 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 123
- Artificial Intelligence 86
- Computational Mathematics 1
- Human-Computer Interaction 7
- Signal Processing 10
Countries citing papers authored by Chaim Baskin
This map shows the geographic impact of Chaim Baskin'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 Chaim Baskin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaim Baskin more than expected).
Fields of papers citing papers by Chaim Baskin
This network shows the impact of papers produced by Chaim Baskin. 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 Chaim Baskin. The network helps show where Chaim Baskin may publish in the future.
Co-authors
The 10 scholars most cited alongside Chaim Baskin, 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 | 2022 | 104 | |
| 2 | 2022 | 43 | |
| 3 | 2022 | 12 | |
| 4 | 2021 | 11 | |
| 5 | 2021 | 7 | |
| 6 | UNIQ: Uniform Noise Injection for the Quantization of Neural Networks | 2018 | 5 |
| 7 | 2017 | 4 | |
| 8 | 2022 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2024 | 0 |
About Chaim Baskin
Chaim Baskin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 14 papers that have together received 197 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Neural Networks and Applications (4 papers), Anomaly Detection Techniques and Applications (3 papers), Infrastructure Maintenance and Monitoring (2 papers), Adversarial Robustness in Machine Learning (2 papers), Machine Learning and Data Classification (2 papers), Advanced Graph Neural Networks (2 papers) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (123 citations), Artificial Intelligence (86 citations), Computational Mathematics (1 citation), Human-Computer Interaction (7 citations) and Signal Processing (10 citations). Chaim Baskin has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Evgenii Zheltonozhskii, Avi Mendelson, Alex Bronstein, Or Litany, Uri Alon, Freddy Gabbay, Raja Giryes, Alexander M. Bronstein, Eli Schwartz and Dotan Di Castro. Their work appears in journals such as Sustainability, Applied Intelligence, Neurocomputing, Mathematics and MDPI (MDPI AG).
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.