Yonatan Bitton
Impact in
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- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
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- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
Papers in
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- Multimodal Machine Learning Applications 18
- Handwritten Text Recognition Techniques 1
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- Topic Modeling 3
- Natural Language Processing Techniques 3
- AI-based Problem Solving and Planning 1
- Co-authors
- Gabriel Stanovsky (5 shared papers)Roy Schwartz (5 shared papers)Michael Elhadad (3 shared papers)Ludwig Schmidt (2 shared papers)Yuval Elovici (2 shared papers)Jack Hessel (2 shared papers)Dafna Shahaf (3 shared papers)Idan Szpektor (7 shared papers)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Lecture notes in computer science (2 papers)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (2 papers)neural information processing systems (7 papers)Annual Meeting of the Association for Computational Linguistics (ACL) (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Yonatan Bitton
19 papers receiving 203 citations
Peers
Comparison fields: 5 of 25
- Computer Vision and Pattern Recognition 134
- Artificial Intelligence 60
- Safety Research 11
- Health Informatics 2
- Computer Graphics and Computer-Aided Design 3
Countries citing papers authored by Yonatan Bitton
This map shows the geographic impact of Yonatan Bitton'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 Yonatan Bitton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonatan Bitton more than expected).
Fields of papers citing papers by Yonatan Bitton
This network shows the impact of papers produced by Yonatan Bitton. 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 Yonatan Bitton. The network helps show where Yonatan Bitton may publish in the future.
Co-authors
The 25 scholars most cited alongside Yonatan Bitton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 64 | |
| 2 | 2023 | 26 | |
| 3 | 2021 | 20 | |
| 4 | 2023 | 16 | |
| 5 | 2024 | 14 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2024 | 8 | |
| 9 | 2022 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 0 |
About Yonatan Bitton
Yonatan Bitton is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Safety Research, Control and Systems Engineering and Molecular Biology, having authored 23 papers that have together received 206 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (18 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers), Ethics and Social Impacts of AI (1 paper), Biomedical Text Mining and Ontologies (1 paper), Handwritten Text Recognition Techniques (1 paper), AI-based Problem Solving and Planning (1 paper) and Robot Manipulation and Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (134 citations), Artificial Intelligence (60 citations), Safety Research (11 citations), Health Informatics (2 citations) and Computer Graphics and Computer-Aided Design (3 citations). Yonatan Bitton has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Gabriel Stanovsky, Roy Schwartz, Michael Elhadad, Ludwig Schmidt, Yuval Elovici, Jack Hessel, Dafna Shahaf, Idan Szpektor, Roee Aharoni and Soravit Changpinyo. Their work appears in journals such as Journal of the American Medical Informatics Association, Lecture notes in computer science, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), neural information processing systems and Annual Meeting of the Association for Computational Linguistics (ACL).
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.