Ron Litman
Impact in
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- Handwritten Text Recognition Techniques
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
Papers in
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- Multimodal Machine Learning Applications 7
- Handwritten Text Recognition Techniques 7
- Advanced Image and Video Retrieval Techniques 3
- Image Processing and 3D Reconstruction 3
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- Natural Language Processing Techniques 7
- Topic Modeling 4
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Raghaven Manmatha (4 shared papers)Shahar Tsiper (5 shared papers)Oron Anschel (3 shared papers)Roee Litman (1 shared paper)Ali Furkan Biten (2 shared papers)Srikar Appalaraju (2 shared papers)Yusheng Xie (1 shared paper)Alona Golts (3 shared papers)
- Journals
- Neuromuscular Disorders (1 paper)European Journal of Neurology (1 paper)Lecture notes in computer science (4 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- IsraelUnited StatesSpain
In The Last Decade
Ron Litman
14 papers receiving 305 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 240
- Artificial Intelligence 138
- Media Technology 31
- Developmental Neuroscience 3
- Information Systems 18
Countries citing papers authored by Ron Litman
This map shows the geographic impact of Ron Litman'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 Ron Litman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ron Litman more than expected).
Fields of papers citing papers by Ron Litman
This network shows the impact of papers produced by Ron Litman. 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 Ron Litman. The network helps show where Ron Litman may publish in the future.
Co-authors
The 16 scholars most cited alongside Ron Litman, 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 | 2020 | 115 | |
| 2 | 2022 | 69 | |
| 3 | 2022 | 34 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 12 | |
| 7 | 2024 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 |
About Ron Litman
Ron Litman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Genetics and Information Systems, having authored 16 papers that have together received 327 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Multimodal Machine Learning Applications (7 papers), Handwritten Text Recognition Techniques (7 papers), Topic Modeling (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Processing and 3D Reconstruction (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (240 citations), Artificial Intelligence (138 citations), Media Technology (31 citations), Developmental Neuroscience (3 citations) and Information Systems (18 citations). Ron Litman has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Raghaven Manmatha, Shahar Tsiper, Oron Anschel, Roee Litman, Ali Furkan Biten, Srikar Appalaraju, Yusheng Xie, Alona Golts, Ron Slossberg and Dìmosthenis Karatzas. Their work appears in journals such as Neuromuscular Disorders, European Journal of Neurology, Lecture notes in computer science, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).
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.