Jonathan Boyle
Impact in
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Vibration Analysis
- Lattice Boltzmann Simulation Studies
Papers in
-
- Video Surveillance and Tracking Methods 6
- Human Pose and Action Recognition 3
-
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Matthias Heil (2 shared papers)Andrew L. Hazel (1 shared paper)J. A. Scott (1 shared paper)Milan Mihajlović (1 shared paper)William N. Shafarman (3 shared papers)C. Hughes (1 shared paper)Peter Gardner (1 shared paper)Jonathan H. Shanks (1 shared paper)
- Journals
- Computational Mechanics (1 paper)Journal of Fluid Mechanics (1 paper)International Journal for Numerical Methods in Engineering (1 paper)Electronics Letters (1 paper)The Analyst (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Jonathan Boyle
18 papers receiving 464 citations
Peers
Comparison fields: 5 of 84
- Biophysics 86
- Computational Mechanics 227
- Numerical Analysis 42
- Analytical Chemistry 59
- Computational Mathematics 3
Countries citing papers authored by Jonathan Boyle
This map shows the geographic impact of Jonathan Boyle'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 Boyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Boyle more than expected).
Fields of papers citing papers by Jonathan Boyle
This network shows the impact of papers produced by Jonathan Boyle. 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 Boyle. The network helps show where Jonathan Boyle may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Boyle, 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 | 2008 | 191 | |
| 2 | 2012 | 115 | |
| 3 | 2009 | 59 | |
| 4 | 2010 | 30 | |
| 5 | 2010 | 28 | |
| 6 | 2009 | 20 | |
| 7 | 2020 | 8 | |
| 8 | 2015 | 7 | |
| 9 | 2011 | 7 | |
| 10 | 2021 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2017 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2017 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2020 | 1 |
About Jonathan Boyle
Jonathan Boyle is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computational Mechanics and Electrical and Electronic Engineering, having authored 18 papers that have together received 480 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (3 papers), Quantum Dots Synthesis And Properties (3 papers), Anomaly Detection Techniques and Applications (3 papers), Biometric Identification and Security (3 papers), Chalcogenide Semiconductor Thin Films (3 papers), Copper-based nanomaterials and applications (3 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Biophysics (86 citations), Computational Mechanics (227 citations), Numerical Analysis (42 citations), Analytical Chemistry (59 citations) and Computational Mathematics (3 citations). Jonathan Boyle has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Matthias Heil, Andrew L. Hazel, J. A. Scott, Milan Mihajlović, William N. Shafarman, C. Hughes, Peter Gardner, Jonathan H. Shanks, Paul Bassan and Ashwin Sachdeva. Their work appears in journals such as Computational Mechanics, Journal of Fluid Mechanics, International Journal for Numerical Methods in Engineering, Electronics Letters and The Analyst.
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.