Itamar Friedman
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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- Video Surveillance and Tracking Methods 1
- Face recognition and analysis 1
- Multimodal Machine Learning Applications 1
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- Text and Document Classification Technologies 2
- Machine Learning and Data Classification 2
- Semantic Web and Ontologies 1
- Co-authors
- Lihi Zelnik‐Manor (4 shared papers)Asaf Noy (3 shared papers)Tal Ridnik (3 shared papers)Emanuel Ben-Baruch (2 shared papers)Matan Protter (2 shared papers)Avi Ben-Cohen (3 shared papers)Nadav Zamir (1 shared paper)Raja Giryes (1 shared paper)
- Journals
- Clinical Interventions in Aging (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2 papers)International Conference on Artificial Intelligence and Statistics (1 paper)
- Partner nations
- Cayman IslandsIsraelChina
In The Last Decade
Itamar Friedman
6 papers receiving 380 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 195
- Artificial Intelligence 251
- Signal Processing 21
- Media Technology 17
- Radiology, Nuclear Medicine and Imaging 41
Countries citing papers authored by Itamar Friedman
This map shows the geographic impact of Itamar Friedman'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 Itamar Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Itamar Friedman more than expected).
Fields of papers citing papers by Itamar Friedman
This network shows the impact of papers produced by Itamar Friedman. 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 Itamar Friedman. The network helps show where Itamar Friedman may publish in the future.
Co-authors
The 10 scholars most cited alongside Itamar Friedman, 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 | 2022 | 27 | |
| 3 | 2021 | 26 | |
| 4 | ASAP: Architecture Search, Anneal and Prune | 2020 | 7 |
| 5 | 2018 | 4 | |
| 6 | Attention Network Robustification for Person ReID | 2019 | 4 |
About Itamar Friedman
Itamar Friedman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 391 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (2 papers), Machine Learning and Data Classification (2 papers), Semantic Web and Ontologies (1 paper), Video Surveillance and Tracking Methods (1 paper), Balance, Gait, and Falls Prevention (1 paper), COVID-19 diagnosis using AI (1 paper), Face recognition and analysis (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Artificial Intelligence (251 citations), Signal Processing (21 citations), Media Technology (17 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Itamar Friedman has collaborated with scholars based in Cayman Islands, Israel and China. Frequent co-authors include Lihi Zelnik‐Manor, Asaf Noy, Tal Ridnik, Emanuel Ben-Baruch, Matan Protter, Avi Ben-Cohen, Nadav Zamir, Raja Giryes, Shmuel Springer and A Ohry. Their work appears in journals such as Clinical Interventions in Aging, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and International Conference on Artificial Intelligence and Statistics.
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.