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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- Text and Document Classification Technologies 3
- Machine Learning and Data Classification 2
- Semantic Web and Ontologies 1
- Co-authors
- Asaf Noy (4 shared papers)Emanuel Ben-Baruch (3 shared papers)Itamar Friedman (3 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)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- IsraelCayman IslandsItaly
In The Last Decade
Tal Ridnik
8 papers receiving 413 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 204
- Artificial Intelligence 255
- Media Technology 21
- Radiation 21
- Signal Processing 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 | 323 |
| 2 | 2023 | 50 | |
| 3 | 2022 | 27 | |
| 4 | 2015 | 8 | |
| 5 | ASAP: Architecture Search, Anneal and Prune | 2020 | 7 |
| 6 | 2013 | 6 | |
| 7 | 2013 | 4 | |
| 8 | 2014 | 2 |
About Tal Ridnik
Tal Ridnik is a scholar working on Radiation, Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications, having authored 8 papers that have together received 427 indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (4 papers), Nuclear Physics and Applications (4 papers), Nuclear reactor physics and engineering (3 papers), Text and Document Classification Technologies (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Machine Learning and Data Classification (2 papers), Semantic Web and Ontologies (1 paper) and Fault Detection and Control Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (204 citations), Artificial Intelligence (255 citations), Media Technology (21 citations), Radiation (21 citations) and Signal Processing (23 citations). Tal Ridnik has collaborated with scholars based in Israel, Cayman Islands 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, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 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.