J.S. Beis
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- 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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- Robotics and Automated Systems 1
- Co-authors
- David G. Lowe (3 shared papers)John E. Lloyd (2 shared papers)Dinesh K. Pai (2 shared papers)Lynn E. H. Trainor (2 shared papers)Jeffrey P. Sutton (2 shared papers)Anna M. Celler (1 shared paper)
- Journals
- IEEE Transactions on Nuclear Science (1 paper)IEEE Transactions on Robotics and Automation (1 paper)Mathematical and Computer Modelling (1 paper)Journal of Physics A Mathematical and General (1 paper)
In The Last Decade
J.S. Beis
6 papers receiving 740 citations
J.S. Beis's Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 633
- Aerospace Engineering 317
- Media Technology 82
- Geology 44
- Human-Computer Interaction 26
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-authors
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 | Shape indexing using approximate nearest-neighbour search in high-dimensional spaces Hit paper breakdown → | 2002 | 684 |
| 2 | 1999 | 39 | |
| 3 | 1988 | 24 | |
| 4 | 2002 | 22 | |
| 5 | 1995 | 16 | |
| 6 | 1988 | 13 |
About J.S. Beis
J.S. Beis is a scholar working on Cognitive Neuroscience, Control and Systems Engineering, Signal Processing, Artificial Intelligence and Mechanical Engineering, having authored 6 papers that have together received 798 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Neural dynamics and brain function (2 papers), Teleoperation and Haptic Systems (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Robotics and Automated Systems (1 paper), Image Retrieval and Classification Techniques (1 paper), Medical Imaging Techniques and Applications (1 paper) and Topological and Geometric Data Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (633 citations), Aerospace Engineering (317 citations), Media Technology (82 citations), Geology (44 citations) and Human-Computer Interaction (26 citations). J.S. Beis has collaborated with scholars based in Canada and Belgium. Frequent co-authors include David G. Lowe, John E. Lloyd, Dinesh K. Pai, Lynn E. H. Trainor, Jeffrey P. Sutton and Anna M. Celler. Their work appears in journals such as IEEE Transactions on Nuclear Science, IEEE Transactions on Robotics and Automation, Mathematical and Computer Modelling 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.