E. Yair
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
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- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
Papers in
-
- Image and Signal Denoising Methods 4
- Advanced Data Compression Techniques 3
- Optical measurement and interference techniques 1
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- Speech and Audio Processing 6
- Blind Source Separation Techniques 4
- Digital Filter Design and Implementation 2
- Co-authors
- Y. Medan (4 shared papers)A. Gersho (3 shared papers)Daniel Chazan (2 shared papers)K. Zeger (3 shared papers)Isak Gath (3 shared papers)Raymond A. Lorie (1 shared paper)Muhammad Mohiuddin (1 shared paper)A. S. Sorin (1 shared paper)
- Journals
- Proceedings of the IEEE (2 papers)IEEE Transactions on Signal Processing (2 papers)IBM Journal of Research and Development (1 paper)The Journal of the Acoustical Society of America (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
E. Yair
10 papers receiving 312 citations
Peers
Comparison fields: 5 of 53
- Signal Processing 139
- Computer Vision and Pattern Recognition 149
- Artificial Intelligence 188
- Experimental and Cognitive Psychology 45
- Media Technology 25
Countries citing papers authored by E. Yair
This map shows the geographic impact of E. Yair'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 E. Yair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Yair more than expected).
Fields of papers citing papers by E. Yair
This network shows the impact of papers produced by E. Yair. 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 E. Yair. The network helps show where E. Yair may publish in the future.
Co-authors
The 9 scholars most cited alongside E. Yair, 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 | 1991 | 140 | |
| 2 | 1992 | 137 | |
| 3 | 1988 | 16 | |
| 4 | 1996 | 16 | |
| 5 | 1988 | 12 | |
| 6 | 1989 | 12 | |
| 7 | 1990 | 9 | |
| 8 | 1991 | 7 | |
| 9 | 2003 | 3 | |
| 10 | 2002 | 1 | |
| 11 | 2005 | 0 | |
| 12 | 2002 | 0 |
About E. Yair
E. Yair is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Artificial Intelligence and Computer Networks and Communications, having authored 12 papers that have together received 353 indexed citations. Recurring topics across this work include Speech and Audio Processing (6 papers), Image and Signal Denoising Methods (4 papers), Blind Source Separation Techniques (4 papers), Advanced Data Compression Techniques (3 papers), Advanced Adaptive Filtering Techniques (3 papers), Digital Filter Design and Implementation (2 papers), Neural Networks and Applications (2 papers) and Optical measurement and interference techniques (1 paper). The work is most often cited by research in Signal Processing (139 citations), Computer Vision and Pattern Recognition (149 citations), Artificial Intelligence (188 citations), Experimental and Cognitive Psychology (45 citations) and Media Technology (25 citations). E. Yair has collaborated with scholars based in Israel and United States. Frequent co-authors include Y. Medan, A. Gersho, Daniel Chazan, K. Zeger, Isak Gath, Raymond A. Lorie, Muhammad Mohiuddin, A. S. Sorin and Jianchang Mao. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing, IBM Journal of Research and Development, The Journal of the Acoustical Society of America and IEEE Transactions on Biomedical Engineering.
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.