T. Scanlon
Impact in
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- Fluid Dynamics and Turbulent Flows
- Combustion and flame dynamics
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Vibration Analysis
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- Turbomachinery Performance and Optimization
Papers in
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- Computational Fluid Dynamics and Aerodynamics 1
- Combustion and flame dynamics 1
- Surgery 1
- Spinal Fractures and Fixation Techniques 1
- Co-authors
- Jia Wei Chew (1 shared paper)Nicholas J. Hills (1 shared paper)Jason Wilkes (1 shared paper)D. Bohn (1 shared paper)Nikita Ivvan Pond (2 shared papers)G. Facini (2 shared papers)S. Rettie (2 shared papers)S. Van Stroud (2 shared papers)
- Journals
- The European Physical Journal C (1 paper)Physical Review X (1 paper)Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (1 paper)
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
T. Scanlon
3 papers receiving 58 citations
Peers
Comparison fields: 5 of 13
- Computational Mechanics 42
- Aerospace Engineering 49
- Mechanical Engineering 41
- Fluid Flow and Transfer Processes 4
- Statistics, Probability and Uncertainty 2
Countries citing papers authored by T. Scanlon
This map shows the geographic impact of T. Scanlon'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 T. Scanlon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Scanlon more than expected).
Fields of papers citing papers by T. Scanlon
This network shows the impact of papers produced by T. Scanlon. 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 T. Scanlon. The network helps show where T. Scanlon may publish in the future.
Co-authors
The 9 scholars most cited alongside T. Scanlon, 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 | 2011 | 40 | |
| 2 | 2004 | 19 | |
| 3 | 2024 | 1 | |
| 4 | 2025 | 0 |
About T. Scanlon
T. Scanlon is a scholar working on Computational Mechanics, Surgery, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Mechanical Engineering, having authored 4 papers that have together received 60 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (1 paper), Computational Fluid Dynamics and Aerodynamics (1 paper), Combustion and flame dynamics (1 paper), Particle Detector Development and Performance (1 paper), Turbomachinery Performance and Optimization (1 paper), Radiation Dose and Imaging (1 paper), Medical Imaging and Analysis (1 paper) and Spinal Fractures and Fixation Techniques (1 paper). The work is most often cited by research in Computational Mechanics (42 citations), Aerospace Engineering (49 citations), Mechanical Engineering (41 citations), Fluid Flow and Transfer Processes (4 citations) and Statistics, Probability and Uncertainty (2 citations). T. Scanlon has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Jia Wei Chew, Nicholas J. Hills, Jason Wilkes, D. Bohn, Nikita Ivvan Pond, G. Facini, S. Rettie, S. Van Stroud and Jackson Barr. Their work appears in journals such as The European Physical Journal C, Physical Review X and Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science.
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.