Tamar Avraham
Impact in
- Geology top 5%
- 3D Surveying and Cultural Heritage
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- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Image and Video Quality Assessment
- Advanced Vision and Imaging
Papers in
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- Advanced Vision and Imaging 6
- Advanced Image and Video Retrieval Techniques 2
- Visual Attention and Saliency Detection 2
- Advanced Image Processing Techniques 2
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- Visual perception and processing mechanisms 3
- Co-authors
- Michael Lindenbaum (5 shared papers)Anath Fischer (2 shared papers)Yoav Y. Schechner (2 shared papers)Yizhak Ben-Shabat (1 shared paper)Yaffa Yeshurun (1 shared paper)Amit Aides (1 shared paper)Alfred M. Bruckstein⋆ (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Computer Vision and Image Understanding (1 paper)Journal of the Optical Society of America A (1 paper)Journal of Vision (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)
- Partner nations
- Israel
In The Last Decade
Tamar Avraham
9 papers receiving 334 citations
Peers
Comparison fields: 5 of 53
- Geology 113
- Computer Vision and Pattern Recognition 216
- Sensory Systems 31
- Human-Computer Interaction 30
- Environmental Engineering 74
Countries citing papers authored by Tamar Avraham
This map shows the geographic impact of Tamar Avraham'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 Tamar Avraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Avraham more than expected).
Fields of papers citing papers by Tamar Avraham
This network shows the impact of papers produced by Tamar Avraham. 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 Tamar Avraham. The network helps show where Tamar Avraham may publish in the future.
Co-authors
The 7 scholars most cited alongside Tamar Avraham, 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 | 2017 | 165 | |
| 2 | 2009 | 91 | |
| 3 | 2018 | 31 | |
| 4 | 2008 | 20 | |
| 5 | 2010 | 11 | |
| 6 | 2011 | 11 | |
| 7 | 2006 | 9 | |
| 8 | 2013 | 5 | |
| 9 | 2016 | 1 |
About Tamar Avraham
Tamar Avraham is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology, Aerospace Engineering and Atomic and Molecular Physics, and Optics, having authored 9 papers that have together received 344 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Visual perception and processing mechanisms (3 papers), Robotics and Sensor-Based Localization (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Visual Attention and Saliency Detection (2 papers), Advanced Image Processing Techniques (2 papers), Color Science and Applications (1 paper) and 3D Surveying and Cultural Heritage (1 paper). The work is most often cited by research in Geology (113 citations), Computer Vision and Pattern Recognition (216 citations), Sensory Systems (31 citations), Human-Computer Interaction (30 citations) and Environmental Engineering (74 citations). Tamar Avraham has collaborated with scholars based in Israel. Frequent co-authors include Michael Lindenbaum, Anath Fischer, Yoav Y. Schechner, Yizhak Ben-Shabat, Yaffa Yeshurun, Amit Aides and Alfred M. Bruckstein⋆. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding, Journal of the Optical Society of America A, Journal of Vision and IEEE Journal of Selected Topics in Signal Processing.
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.