K. Etemad
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Handwritten Text Recognition Techniques
- Video Surveillance and Tracking Methods
- Signal Processing top 5%
- Biometric Identification and Security
Papers in
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- Image Retrieval and Classification Techniques 6
- Image and Signal Denoising Methods 4
- Face and Expression Recognition 3
- Medical Image Segmentation Techniques 2
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- Remote-Sensing Image Classification 3
- Image Processing Techniques and Applications 3
- Journals
- IEEE Transactions on Image Processing (1 paper)Journal of the Optical Society of America A (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE International Conference on Neural Networks (1 paper)
- Partner nations
- United States
In The Last Decade
K. Etemad
12 papers receiving 780 citations
K. Etemad's Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 754
- Signal Processing 183
- Media Technology 139
- Computational Mathematics 9
- Analytical Chemistry 43
Countries citing papers authored by K. Etemad
This map shows the geographic impact of K. Etemad'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 K. Etemad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Etemad more than expected).
Fields of papers citing papers by K. Etemad
This network shows the impact of papers produced by K. Etemad. 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 K. Etemad. The network helps show where K. Etemad may publish in the future.
Co-authors
The 2 scholars most cited alongside K. Etemad, 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 | Discriminant analysis for recognition of human face images Hit paper breakdown → | 1997 | 611 |
| 2 | 1998 | 69 | |
| 3 | 1997 | 58 | |
| 4 | 2002 | 42 | |
| 5 | Discriminant Analysis for Recognition of Human Face Images (Invited Paper) | 1997 | 14 |
| 6 | 2002 | 12 | |
| 7 | 2002 | 11 | |
| 8 | 2002 | 10 | |
| 9 | 2002 | 7 | |
| 10 | 1994 | 5 | |
| 11 | 2002 | 1 | |
| 12 | Multi-scale discriminant analysis and recognition of signals and images | 1996 | 1 |
About K. Etemad
K. Etemad is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Signal Processing and Aerospace Engineering, having authored 12 papers that have together received 841 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Image and Signal Denoising Methods (4 papers), Neural Networks and Applications (4 papers), Remote-Sensing Image Classification (3 papers), Face and Expression Recognition (3 papers), Image Processing Techniques and Applications (3 papers), Medical Image Segmentation Techniques (2 papers) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (754 citations), Signal Processing (183 citations), Media Technology (139 citations), Computational Mathematics (9 citations) and Analytical Chemistry (43 citations). K. Etemad has collaborated with scholars based in United States. Frequent co-authors include Rama Chellappa and David Doermann. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of the Optical Society of America A, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE International Conference on Neural Networks.
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.