Sivan Harary
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Multimodal Machine Learning Applications 4
- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
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- Domain Adaptation and Few-Shot Learning 7
- Text and Document Classification Technologies 1
- Adversarial Robustness in Machine Learning 1
- Topic Modeling 1
- Co-authors
- Raja Giryes (7 shared papers)Leonid Karlinsky (8 shared papers)Rogério Feris (6 shared papers)Joseph Shtok (4 shared papers)Eli Schwartz (6 shared papers)Amit Aides (2 shared papers)Alex Bronstein (2 shared papers)Amit Alfassy (3 shared papers)
- Journals
- Computer Vision and Image Understanding (1 paper)IBM Journal of Research and Development (1 paper)Computer Graphics Forum (1 paper)arXiv (Cornell University) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Sivan Harary
10 papers receiving 514 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 373
- Artificial Intelligence 316
- Media Technology 60
- Signal Processing 40
- Industrial and Manufacturing Engineering 33
Countries citing papers authored by Sivan Harary
This map shows the geographic impact of Sivan Harary'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 Sivan Harary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sivan Harary more than expected).
Fields of papers citing papers by Sivan Harary
This network shows the impact of papers produced by Sivan Harary. 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 Sivan Harary. The network helps show where Sivan Harary may publish in the future.
Co-authors
The 25 scholars most cited alongside Sivan Harary, 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 | 2019 | 252 | |
| 2 | 2019 | 78 | |
| 3 | Delta-encoder: an effective sample synthesis method for few-shot object recognition | 2018 | 64 |
| 4 | 2015 | 26 | |
| 5 | 2024 | 23 | |
| 6 | 2022 | 21 | |
| 7 | 2014 | 21 | |
| 8 | 2023 | 20 | |
| 9 | 2012 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 0 |
About Sivan Harary
Sivan Harary is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Transportation, having authored 11 papers that have together received 527 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (4 papers), Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Text and Document Classification Technologies (1 paper), Adversarial Robustness in Machine Learning (1 paper), Geographic Information Systems Studies (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (373 citations), Artificial Intelligence (316 citations), Media Technology (60 citations), Signal Processing (40 citations) and Industrial and Manufacturing Engineering (33 citations). Sivan Harary has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Raja Giryes, Leonid Karlinsky, Rogério Feris, Joseph Shtok, Eli Schwartz, Amit Aides, Alex Bronstein, Amit Alfassy, Abhishek Kumar and Assaf Arbelle. Their work appears in journals such as Computer Vision and Image Understanding, IBM Journal of Research and Development, Computer Graphics Forum, arXiv (Cornell University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.