Tal Ridnik
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 5%
- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
Papers in
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- Radiation Detection and Scintillator Technologies 4
- Nuclear Physics and Applications 4
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- Advanced Image and Video Retrieval Techniques 2
- Advanced Neural Network Applications 2
- Co-authors
- Asaf Noy (5 shared papers)Emanuel Ben-Baruch (3 shared papers)Itamar Friedman (4 shared papers)Lihi Zelnik‐Manor (2 shared papers)Matan Protter (1 shared paper)Avi Ben-Cohen (2 shared papers)Nadav Zamir (1 shared paper)Raja Giryes (1 shared paper)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (3 papers)Nuclear Science and Engineering (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- Cayman IslandsIsraelItaly
In The Last Decade
Tal Ridnik
9 papers receiving 542 citations
Tal Ridnik's Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 250
- Artificial Intelligence 319
- Radiation 25
- Radiology, Nuclear Medicine and Imaging 59
- Media Technology 23
Countries citing papers authored by Tal Ridnik
This map shows the geographic impact of Tal Ridnik'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 Tal Ridnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Ridnik more than expected).
Fields of papers citing papers by Tal Ridnik
This network shows the impact of papers produced by Tal Ridnik. 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 Tal Ridnik. The network helps show where Tal Ridnik may publish in the future.
Co-authors
The 9 scholars most cited alongside Tal Ridnik, 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 | Asymmetric Loss For Multi-Label Classification Hit paper breakdown → | 2021 | 414 |
| 2 | 2023 | 64 | |
| 3 | 2022 | 33 | |
| 4 | 2021 | 12 | |
| 5 | ASAP: Architecture Search, Anneal and Prune | 2020 | 10 |
| 6 | 2015 | 9 | |
| 7 | 2013 | 7 | |
| 8 | 2013 | 5 | |
| 9 | 2014 | 2 |
About Tal Ridnik
Tal Ridnik is a scholar working on Radiation, Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering, having authored 9 papers that have together received 556 indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (4 papers), Nuclear Physics and Applications (4 papers), Machine Learning and Data Classification (3 papers), Text and Document Classification Technologies (3 papers), Nuclear reactor physics and engineering (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (250 citations), Artificial Intelligence (319 citations), Radiation (25 citations), Radiology, Nuclear Medicine and Imaging (59 citations) and Media Technology (23 citations). Tal Ridnik has collaborated with scholars based in Cayman Islands, Israel and Italy. Frequent co-authors include Asaf Noy, Emanuel Ben-Baruch, Itamar Friedman, Lihi Zelnik‐Manor, Matan Protter, Avi Ben-Cohen, Nadav Zamir, Raja Giryes and Hanania Ettedgui. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Nuclear Science and Engineering, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.