Ofir Pele
Impact in
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- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Image Retrieval and Classification Techniques
- Image and Video Quality Assessment
- Advanced Vision and Imaging
Papers in
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- Image and Video Quality Assessment 2
- Advanced Image and Video Retrieval Techniques 2
- Image Retrieval and Classification Techniques 2
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- Internet Traffic Analysis and Secure E-voting 3
- Co-authors
- Michael Werman (4 shared papers)Amit Dvir (6 shared papers)Ofer Hadar (3 shared papers)Mariana Yaron (1 shared paper)Maya Ish‐Shalom (1 shared paper)Sigal Shaklai (1 shared paper)Ben Taskar (1 shared paper)Yonit Marcus (1 shared paper)
- Journals
- Multimedia Tools and Applications (1 paper)International Review for the Sociology of Sport (1 paper)Diabetes/Metabolism Research and Reviews (1 paper)Machine Learning (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Ofir Pele
10 papers receiving 633 citations
Ofir Pele's Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 318
- Computer Graphics and Computer-Aided Design 24
- Signal Processing 67
- Artificial Intelligence 187
- Media Technology 38
Countries citing papers authored by Ofir Pele
This map shows the geographic impact of Ofir Pele'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 Ofir Pele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ofir Pele more than expected).
Fields of papers citing papers by Ofir Pele
This network shows the impact of papers produced by Ofir Pele. 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 Ofir Pele. The network helps show where Ofir Pele may publish in the future.
Co-authors
The 20 scholars most cited alongside Ofir Pele, 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 | Fast and robust Earth Mover's Distances Hit paper breakdown → | 2009 | 505 |
| 2 | 2008 | 45 | |
| 3 | 2017 | 34 | |
| 4 | 2020 | 25 | |
| 5 | 2016 | 12 | |
| 6 | The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification | 2013 | 9 |
| 7 | 2018 | 7 | |
| 8 | 2018 | 7 | |
| 9 | 2017 | 6 | |
| 10 | 2011 | 4 | |
| 11 | 2024 | 0 |
About Ofir Pele
Ofir Pele is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Media Technology, having authored 11 papers that have together received 654 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (3 papers), Network Security and Intrusion Detection (2 papers), Image and Video Quality Assessment (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Robotics and Sensor-Based Localization (1 paper), Digital Games and Media (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (318 citations), Computer Graphics and Computer-Aided Design (24 citations), Signal Processing (67 citations), Artificial Intelligence (187 citations) and Media Technology (38 citations). Ofir Pele has collaborated with scholars based in Israel and United States. Frequent co-authors include Michael Werman, Amit Dvir, Ofer Hadar, Mariana Yaron, Maya Ish‐Shalom, Sigal Shaklai, Ben Taskar, Yonit Marcus, Naftali Stern and Roy Eldor. Their work appears in journals such as Multimedia Tools and Applications, International Review for the Sociology of Sport, Diabetes/Metabolism Research and Reviews, Machine Learning and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.