Chris Bishop
- Artificial Intelligence top 1%
- Biomedical Engineering top 5%
- Orthopedics and Sports Medicine top 1%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Dominic ThewlisJohn B. ArnoldC.M. RoachJonathan D. BuckleyGunther PaulBas Van HoorenRichard W. WillyJoel T. Fuller
- Topics
- Sports Performance and Training (26 papers)Lower Extremity Biomechanics and Pathologies (25 papers)Sports injuries and prevention (25 papers)
- Cited by
- Orthopedics and Sports MedicineArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Chris Bishop
68 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Artificial Intelligence 1.1k
- Biomedical Engineering 689
- Orthopedics and Sports Medicine 601
- Computer Vision and Pattern Recognition 395
- Control and Systems Engineering 379
Countries citing papers authored by Chris Bishop
This map shows the geographic impact of Chris Bishop'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 Chris Bishop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Bishop more than expected).
Fields of papers citing papers by Chris Bishop
This network shows the impact of papers produced by Chris Bishop. 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 Chris Bishop. The network helps show where Chris Bishop may publish in the future.
Co-authorship network of co-authors of Chris Bishop
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Bishop. A scholar is included among the top collaborators of Chris Bishop based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Bishop. Chris Bishop is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 29 | |
| 7 | 10 | |
| 8 | 31 | |
| 9 | 3 | |
| 10 | 59 | |
| 11 | 190 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 18 | |
| 15 | 30 | |
| 16 | 2 | |
| 17 | A comparison of two commercially available motion capture systems for gait analysis : high end vs low-cost | 5 |
| 18 | AN EXTENSION OF SOQPSK TO M-ARY SIGNALLING | 0 |
| 19 | Estimating Conditional Probability Densities for Periodic Variables | 10 |
| 20 | 60 |
About Chris Bishop
Chris Bishop is a scholar working on Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism and Biomedical Engineering, having authored 74 papers that have together received 3.2k indexed citations. Recurring topics across this work include Sports Performance and Training (26 papers), Lower Extremity Biomechanics and Pathologies (25 papers) and Sports injuries and prevention (25 papers). The work is most often cited by research in Orthopedics and Sports Medicine (601 citations), Artificial Intelligence (1.1k citations) and Computer Vision and Pattern Recognition (395 citations). Chris Bishop has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Dominic Thewlis, John B. Arnold, C.M. Roach, Jonathan D. Buckley, Gunther Paul, Bas Van Hooren, Richard W. Willy, Joel T. Fuller, Anthony N. Turner and Christian J. Barton. Their work appears in journals such as Medicine & Science in Sports & Exercise, Journal of Biomechanics and Sports Medicine.
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.