J.S. Beis
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Neural dynamics and brain function 2
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- Advanced Image and Video Retrieval Techniques 2
- Image Retrieval and Classification Techniques 2
- Medical Image Segmentation Techniques 1
- Journals
- IEEE Transactions on Robotics and Automation (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Mathematical and Computer Modelling (1 paper)IEEE Transactions on Nuclear Science (1 paper)Journal of Physics A Mathematical and General (1 paper)
In The Last Decade
J.S. Beis
7 papers receiving 678 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 600
- Aerospace Engineering 313
- Media Technology 78
- Geology 48
- Human-Computer Interaction 22
Countries citing papers authored by J.S. Beis
This map shows the geographic impact of J.S. Beis'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 J.S. Beis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.S. Beis more than expected).
Fields of papers citing papers by J.S. Beis
This network shows the impact of papers produced by J.S. Beis. 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 J.S. Beis. The network helps show where J.S. Beis may publish in the future.
Co-authorship network
The 6 scholars most cited alongside J.S. Beis, 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 | 2002 | 19 | |
| 2 | Shape indexing using approximate nearest-neighbour search in high-dimensional spaces Hit paper breakdown → | 2002 | 596 |
| 3 | 1999 | 34 | |
| 4 | 1999 | 59 | |
| 5 | 1995 | 14 | |
| 6 | 1988 | 18 | |
| 7 | 1988 | 9 |
About J.S. Beis
J.S. Beis is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering and Computational Theory and Mathematics, having authored 7 papers that have together received 749 indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), Neural Networks and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Teleoperation and Haptic Systems (2 papers), Medical Imaging Techniques and Applications (1 paper), Advanced Memory and Neural Computing (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (600 citations), Aerospace Engineering (313 citations), Media Technology (78 citations), Geology (48 citations) and Human-Computer Interaction (22 citations). J.S. Beis has collaborated with scholars based in Canada and Belgium. Frequent co-authors include David Lowe, John E. Lloyd, Dinesh K. Pai, Jeffrey P. Sutton, L. E. H. Trainor and A. Ćeller. Their work appears in journals such as IEEE Transactions on Robotics and Automation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Mathematical and Computer Modelling, IEEE Transactions on Nuclear Science and Journal of Physics A Mathematical and General.
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.