Jonathan Harel
Impact in
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
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- Visual Attention and Saliency Detection
- Image and Video Quality Assessment
- Advanced Image and Video Retrieval Techniques
Papers in
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- Gaze Tracking and Assistive Technology 2
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- Face Recognition and Perception 2
- Co-authors
- Christof KochXiaodi HouMoran CerfMostafa El‐KhamyRobert J. McEliecePeter KönigErich SchneiderWolfgang Einhäuser
- Journals
- Annals of the New York Academy of Sciences (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Optimization Theory and Applications (1 paper)Cancer Research (1 paper)CaltechAUTHORS (California Institute of Technology) (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Jonathan Harel
6 papers receiving 923 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Sensory Systems 241
- Computer Vision and Pattern Recognition 828
- Human-Computer Interaction 171
- Cognitive Neuroscience 251
- Media Technology 92
Countries citing papers authored by Jonathan Harel
This map shows the geographic impact of Jonathan Harel'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 Jonathan Harel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Harel more than expected).
Fields of papers citing papers by Jonathan Harel
This network shows the impact of papers produced by Jonathan Harel. 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 Jonathan Harel. The network helps show where Jonathan Harel may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Jonathan Harel, 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 | 2023 | 1 | |
| 2 | Image Signature: Highlighting Sparse Salient Regions Hit paper breakdown → | 2011 | 604 |
| 3 | 2009 | 17 | |
| 4 | Predicting human gaze using low-level saliency combined with face detection | 2007 | 314 |
| 5 | 2004 | 12 | |
| 6 | 2003 | 2 | |
| 7 | 1977 | 0 |
About Jonathan Harel
Jonathan Harel is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence, having authored 7 papers that have together received 950 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (3 papers), Face Recognition and Perception (2 papers), Gaze Tracking and Assistive Technology (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Error Correcting Code Techniques (1 paper), DNA and Biological Computing (1 paper) and Cryptographic Implementations and Security (1 paper). The work is most often cited by research in Sensory Systems (241 citations), Computer Vision and Pattern Recognition (828 citations), Human-Computer Interaction (171 citations), Cognitive Neuroscience (251 citations) and Media Technology (92 citations). Jonathan Harel has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Christof Koch, Xiaodi Hou, Moran Cerf, Mostafa El‐Khamy, Robert J. McEliece, Peter König, Erich Schneider, Wolfgang Einhäuser, Klaus Bartl and J. R. Vockeroth. Their work appears in journals such as Annals of the New York Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Optimization Theory and Applications, Cancer Research and CaltechAUTHORS (California Institute of Technology).
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.