D.L. Swets
Impact in
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 2%
- Biometric Identification and Security
- Blind Source Separation Techniques
Papers in
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- Image Retrieval and Classification Techniques 6
- Face and Expression Recognition 5
- Advanced Image and Video Retrieval Techniques 4
- Handwritten Text Recognition Techniques 1
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- Neural Networks and Applications 3
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Multimedia Tools and Applications (1 paper)Michigan State University Libraries (1 paper)Proceedings - International Conference on Image Processing (1 paper)
- Partner nations
- United States
In The Last Decade
D.L. Swets
8 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 1.2k
- Signal Processing 313
- Media Technology 244
- Analytical Chemistry 98
- Human-Computer Interaction 48
Countries citing papers authored by D.L. Swets
This map shows the geographic impact of D.L. Swets'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 D.L. Swets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.L. Swets more than expected).
Fields of papers citing papers by D.L. Swets
This network shows the impact of papers produced by D.L. Swets. 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 D.L. Swets. The network helps show where D.L. Swets may publish in the future.
Co-authors
The 3 scholars most cited alongside D.L. Swets, 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 | Using discriminant eigenfeatures for image retrieval Hit paper breakdown → | 1996 | 1162 |
| 2 | 1999 | 69 | |
| 3 | 2002 | 44 | |
| 4 | 2002 | 39 | |
| 5 | 2002 | 35 | |
| 6 | 2002 | 23 | |
| 7 | 1998 | 6 | |
| 8 | 1996 | 3 | |
| 9 | 2002 | 1 |
About D.L. Swets
D.L. Swets is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Aerospace Engineering, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Face and Expression Recognition (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Remote-Sensing Image Classification (3 papers), Neural Networks and Applications (3 papers), Data Management and Algorithms (1 paper), Hand Gesture Recognition Systems (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Signal Processing (313 citations), Media Technology (244 citations), Analytical Chemistry (98 citations) and Human-Computer Interaction (48 citations). D.L. Swets has collaborated with scholars based in United States. Frequent co-authors include Juyang Weng, John Weng and Yuntao Cui. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Multimedia Tools and Applications, Michigan State University Libraries and Proceedings - International Conference on Image Processing.
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.