Jonathan Campbell
Impact in
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- Industrial Vision Systems and Defect Detection
- Media Technology top 10%
- Image Processing Techniques and Applications
Papers in
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- Artificial Intelligence in Games 3
- Neural Networks and Applications 3
- Reinforcement Learning in Robotics 2
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- Optical measurement and interference techniques 2
- Co-authors
- Fionn Murtagh (5 shared papers)Adrian E. Raftery (2 shared papers)Chris Fraley (2 shared papers)David R. Stanford (1 shared paper)Münevver Köküer (1 shared paper)Clark Verbrugge (5 shared papers)Anil A. Bharath (1 shared paper)Jonathan Tremblay (1 shared paper)
- Journals
- Neurocomputing (2 papers)International Journal of Imaging Systems and Technology (1 paper)IEEE Transactions on Education (1 paper)Pattern Recognition Letters (1 paper)Optical Engineering (1 paper)
- Partner nations
- United KingdomCanadaIreland
In The Last Decade
Jonathan Campbell
15 papers receiving 190 citations
Peers
Comparison fields: 5 of 68
- Industrial and Manufacturing Engineering 97
- Media Technology 40
- Computer Vision and Pattern Recognition 81
- Statistics and Probability 22
- Computational Mechanics 42
Countries citing papers authored by Jonathan Campbell
This map shows the geographic impact of Jonathan Campbell'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 Jonathan Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Campbell more than expected).
Fields of papers citing papers by Jonathan Campbell
This network shows the impact of papers produced by Jonathan Campbell. 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 Jonathan Campbell. The network helps show where Jonathan Campbell may publish in the future.
Co-authors
The 22 scholars most cited alongside Jonathan Campbell, 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 | 1997 | 96 | |
| 2 | 1998 | 44 | |
| 3 | 1999 | 27 | |
| 4 | 2001 | 9 | |
| 5 | Deep Reinforcement Learning for Subpixel Neural Tracking | 2018 | 7 |
| 6 | 2000 | 5 | |
| 7 | 2010 | 5 | |
| 8 | 2003 | 5 | |
| 9 | Clustering Player Paths. | 2015 | 4 |
| 10 | 2000 | 3 | |
| 11 | 1996 | 2 | |
| 12 | A business guide to European Community legislation | 1995 | 1 |
| 13 | 1999 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2017 | 0 | |
| 17 | 2024 | 0 |
About Jonathan Campbell
Jonathan Campbell is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Industrial and Manufacturing Engineering and Polymers and Plastics, having authored 17 papers that have together received 211 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (3 papers), Neural Networks and Applications (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Textile materials and evaluations (2 papers), Reinforcement Learning in Robotics (2 papers), Optical measurement and interference techniques (2 papers), Computational Geometry and Mesh Generation (1 paper) and Analog and Mixed-Signal Circuit Design (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (97 citations), Media Technology (40 citations), Computer Vision and Pattern Recognition (81 citations), Statistics and Probability (22 citations) and Computational Mechanics (42 citations). Jonathan Campbell has collaborated with scholars based in United Kingdom, Canada and Ireland. Frequent co-authors include Fionn Murtagh, Adrian E. Raftery, Chris Fraley, David R. Stanford, Münevver Köküer, Clark Verbrugge, Anil A. Bharath, Jonathan Tremblay, Alexandre Aussem and Tianhong Dai. Their work appears in journals such as Neurocomputing, International Journal of Imaging Systems and Technology, IEEE Transactions on Education, Pattern Recognition Letters and Optical Engineering.
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.