John G. Keller
Impact in
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- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
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- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 2
- Advanced Vision and Imaging 1
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- Robotics and Sensor-Based Localization 2
- Aerospace and Aviation Technology 1
- Co-authors
- Sebastian Scherer (3 shared papers)Fan Yang (1 shared paper)Marion deV. Cotten (1 shared paper)Neil C. Moran (1 shared paper)Phyllis E. Stopp (1 shared paper)Rita Cunha (1 shared paper)A. Pascoal (1 shared paper)Matthew Kabrisky (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Pattern Analysis and Applications (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2 papers)
- Partner nations
- United StatesPortugalAustralia
In The Last Decade
John G. Keller
5 papers receiving 55 citations
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 27
- Aerospace Engineering 31
- Geology 3
- Control and Systems Engineering 10
- Computer Graphics and Computer-Aided Design 1
Countries citing papers authored by John G. Keller
This map shows the geographic impact of John G. Keller'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 John G. Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John G. Keller more than expected).
Fields of papers citing papers by John G. Keller
This network shows the impact of papers produced by John G. Keller. 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 John G. Keller. The network helps show where John G. Keller may publish in the future.
Co-authors
The 13 scholars most cited alongside John G. Keller, 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 | 2021 | 27 | |
| 2 | 2024 | 11 | |
| 3 | 1957 | 8 | |
| 4 | 2023 | 7 | |
| 5 | 1999 | 3 | |
| 6 | 1998 | 2 | |
| 7 | 2002 | 0 |
About John G. Keller
John G. Keller is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Small Animals, Social Psychology and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 58 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (2 papers), Robotic Path Planning Algorithms (2 papers), Color perception and design (1 paper), Aerospace and Aviation Technology (1 paper), Video Coding and Compression Technologies (1 paper), Advanced Vision and Imaging (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Heart Rate Variability and Autonomic Control (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (27 citations), Aerospace Engineering (31 citations), Geology (3 citations), Control and Systems Engineering (10 citations) and Computer Graphics and Computer-Aided Design (1 citation). John G. Keller has collaborated with scholars based in United States, Portugal and Australia. Frequent co-authors include Sebastian Scherer, Fan Yang, Marion deV. Cotten, Neil C. Moran, Phyllis E. Stopp, Rita Cunha, A. Pascoal, Matthew Kabrisky, Mark E. Oxley and Steven K. Rogers. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Pharmacology and Experimental Therapeutics, Pattern Analysis and Applications and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.