Jack Collins
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Robotic Path Planning Algorithms
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
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- Reinforcement Learning in Robotics 5
- Evolutionary Algorithms and Applications 4
- Co-authors
- David Howard (5 shared papers)Shelvin Chand (1 shared paper)S.J. McKenna (2 shared papers)Shaogang Gong (2 shared papers)J. Kenneth Koster (1 shared paper)Tom Misteli (2 shared papers)Prabhakar R. Gudla (3 shared papers)Karen J. Meaburn (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (3 papers)IEEE Access (2 papers)Physics in Medicine and Biology (2 papers)Biological Cybernetics (2 papers)The Annals of Thoracic Surgery (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jack Collins
24 papers receiving 449 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 169
- Biophysics 42
- Control and Systems Engineering 86
- Cardiology and Cardiovascular Medicine 85
- Industrial and Manufacturing Engineering 28
Countries citing papers authored by Jack Collins
This map shows the geographic impact of Jack Collins'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 Jack Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Collins more than expected).
Fields of papers citing papers by Jack Collins
This network shows the impact of papers produced by Jack Collins. 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 Jack Collins. The network helps show where Jack Collins may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Collins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 150 | |
| 2 | 2002 | 56 | |
| 3 | 2008 | 55 | |
| 4 | 1979 | 54 | |
| 5 | 1996 | 32 | |
| 6 | 1995 | 30 | |
| 7 | 2019 | 18 | |
| 8 | 2018 | 12 | |
| 9 | 1994 | 10 | |
| 10 | 1994 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2008 | 6 | |
| 13 | 1973 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2011 | 4 | |
| 16 | 1992 | 3 | |
| 17 | A proposed FPGA architecture for real-time object tracking using commodity sensors | 2012 | 2 |
| 18 | 2003 | 2 | |
| 19 | 2007 | 2 | |
| 20 | 2008 | 2 |
About Jack Collins
Jack Collins is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 471 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Evolutionary Algorithms and Applications (4 papers), Cell Image Analysis Techniques (3 papers), Robot Manipulation and Learning (3 papers), Robotic Locomotion and Control (3 papers), Modular Robots and Swarm Intelligence (3 papers), Ultrasound Imaging and Elastography (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (169 citations), Biophysics (42 citations), Control and Systems Engineering (86 citations), Cardiology and Cardiovascular Medicine (85 citations) and Industrial and Manufacturing Engineering (28 citations). Jack Collins has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David Howard, Shelvin Chand, S.J. McKenna, Shaogang Gong, J. Kenneth Koster, Tom Misteli, Prabhakar R. Gudla, Karen J. Meaburn, Stephen J. Lockett and Iain A. Stewart. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Access, Physics in Medicine and Biology, Biological Cybernetics and The Annals of Thoracic Surgery.
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.