Yoav Tadmor
Impact in
- Cognitive Neuroscience top 2%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Aesthetic Perception and Analysis
- Face Recognition and Perception
-
- Visual Attention and Saliency Detection
- Image and Video Quality Assessment
Papers in
-
- Visual perception and processing mechanisms 13
- Neural dynamics and brain function 5
- Face Recognition and Perception 1
-
- Image and Signal Denoising Methods 1
- Visual Attention and Saliency Detection 1
- Co-authors
- D.J. TolhurstTang ChaoKun GuoSasan MahmoodiMalcolm P. YoungR. G. H. RobertsonJ. S. McDonaldWayne S. Smith
- Journals
- Vision Research (5 papers)Perception (3 papers)Ophthalmic and Physiological Optics (2 papers)Visual Neuroscience (1 paper)Experimental Brain Research (1 paper)
- Partner nations
- United KingdomGermany
In The Last Decade
Yoav Tadmor
15 papers receiving 839 citations
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 668
- Computer Vision and Pattern Recognition 264
- Media Technology 86
- Sensory Systems 37
- Biophysics 43
Countries citing papers authored by Yoav Tadmor
This map shows the geographic impact of Yoav Tadmor'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 Yoav Tadmor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoav Tadmor more than expected).
Fields of papers citing papers by Yoav Tadmor
This network shows the impact of papers produced by Yoav Tadmor. 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 Yoav Tadmor. The network helps show where Yoav Tadmor may publish in the future.
Co-authors
The 9 scholars most cited alongside Yoav Tadmor, 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 | 2012 | 9 | |
| 2 | 2008 | 4 | |
| 3 | 2006 | 17 | |
| 4 | 2003 | 72 | |
| 5 | 2000 | 1 | |
| 6 | 2000 | 112 | |
| 7 | 2000 | 23 | |
| 8 | 1997 | 41 | |
| 9 | 1997 | 16 | |
| 10 | 1996 | 4 | |
| 11 | 1994 | 96 | |
| 12 | 1993 | 46 | |
| 13 | 1992 | 1 | |
| 14 | 1992 | 393 | |
| 15 | 1989 | 23 |
About Yoav Tadmor
Yoav Tadmor is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Human-Computer Interaction and Media Technology, having authored 15 papers that have together received 858 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (13 papers), Color Science and Applications (6 papers), Neural dynamics and brain function (5 papers), Image and Signal Denoising Methods (1 paper), Photoreceptor and optogenetics research (1 paper), Advanced Image Fusion Techniques (1 paper), Face Recognition and Perception (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Cognitive Neuroscience (668 citations), Computer Vision and Pattern Recognition (264 citations), Media Technology (86 citations), Sensory Systems (37 citations) and Biophysics (43 citations). Yoav Tadmor has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include D.J. Tolhurst, Tang Chao, Kun Guo, Sasan Mahmoodi, Malcolm P. Young, R. G. H. Robertson, J. S. McDonald, Wayne S. Smith and Gareth Arthurs. Their work appears in journals such as Vision Research, Perception, Ophthalmic and Physiological Optics, Visual Neuroscience and Experimental Brain Research.
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.