Thomas Scanlon

4.2k total citations · 1 hit paper
139 papers, 2.6k citations indexed

About

Thomas Scanlon is a scholar working on Computational Mechanics, Geometry and Topology and Applied Mathematics. According to data from OpenAlex, Thomas Scanlon has authored 139 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Mechanics, 34 papers in Geometry and Topology and 33 papers in Applied Mathematics. Recurrent topics in Thomas Scanlon's work include Gas Dynamics and Kinetic Theory (31 papers), Algebraic Geometry and Number Theory (25 papers) and Computational Fluid Dynamics and Aerodynamics (18 papers). Thomas Scanlon is often cited by papers focused on Gas Dynamics and Kinetic Theory (31 papers), Algebraic Geometry and Number Theory (25 papers) and Computational Fluid Dynamics and Aerodynamics (18 papers). Thomas Scanlon collaborates with scholars based in United Kingdom, United States and Canada. Thomas Scanlon's co-authors include Craig White, Jason M. Reese, Matthew Stickland, Matthew K. Borg, Rodrigo Cassineli Palharini, Ehsan Roohi, Masoud Darbandi, Richard E. Brown, Yonghao Zhang and Lisa Mohebati and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Thomas Scanlon

137 papers receiving 2.4k citations

Hit Papers

Perceived barriers to accessing mental health services am... 2016 2026 2019 2022 2016 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Scanlon United Kingdom 27 962 826 546 362 292 139 2.6k
James C. Robinson United Kingdom 30 1.2k 1.3× 427 0.5× 137 0.3× 45 0.1× 93 0.3× 179 3.8k
Nathan Jacobson United States 49 477 0.5× 129 0.2× 1.6k 3.0× 2.6k 7.2× 3.0k 10.2× 210 11.6k
D. Andrew S. Rees United Kingdom 43 154 0.2× 3.8k 4.6× 186 0.3× 1.7k 4.8× 1.1k 3.8× 275 7.0k
J Crank United Kingdom 25 220 0.2× 302 0.4× 216 0.4× 537 1.5× 46 0.2× 73 3.6k
John R. Cannon United States 37 2.2k 2.3× 904 1.1× 77 0.1× 351 1.0× 30 0.1× 161 5.3k
L. Jódar Spain 24 929 1.0× 180 0.2× 50 0.1× 70 0.2× 82 0.3× 290 2.9k
David Colton United States 47 770 0.8× 887 1.1× 333 0.6× 212 0.6× 19 0.1× 227 11.0k
Muhammad Arif Pakistan 36 1.2k 1.2× 117 0.1× 49 0.1× 141 0.4× 1.3k 4.4× 250 3.7k
Thomas Hales United States 22 106 0.1× 139 0.2× 28 0.1× 128 0.4× 217 0.7× 50 2.6k
Mario Primicerio Italy 22 289 0.3× 341 0.4× 120 0.2× 367 1.0× 4 0.0× 110 2.0k

Countries citing papers authored by Thomas Scanlon

Since Specialization
Citations

This map shows the geographic impact of Thomas 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 Thomas Scanlon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Scanlon more than expected).

Fields of papers citing papers by Thomas Scanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas 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 Thomas Scanlon. The network helps show where Thomas Scanlon may publish in the future.

Co-authorship network of co-authors of Thomas Scanlon

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Scanlon. A scholar is included among the top collaborators of Thomas Scanlon 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 Thomas Scanlon. Thomas Scanlon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ovchinnikov, Alexey, Anand Pillay, Gleb Pogudin, & Thomas Scanlon. (2025). Identifiable specializations for ODE models. Systems & Control Letters. 204. 106226–106226. 1 indexed citations
2.
Meshkat, Nicolette, Alexey Ovchinnikov, & Thomas Scanlon. (2025). Algorithm to Find New Identifiable Reparameterizations of Parameteric Rational ODE Models. IEEE Transactions on Automatic Control. 70(10). 6688–6703. 3 indexed citations
3.
Scanlon, Thomas, et al.. (2020). Berezin integral as a limit of Riemann sum. Journal of Mathematical Physics. 61(6). 1 indexed citations
4.
Corvaja, Pietro, Dragos Ghioca, Thomas Scanlon, & Umberto Zannier. (2019). THE DYNAMICAL MORDELL-LANG CONJECTURE for ENDOMORPHISMS of SEMIABELIAN VARIETIES DEFINED over FIELDS of POSITIVE CHARACTERISTIC. Institutional Research Information System (University of Udine). 6 indexed citations
5.
Aschenbrenner, Matthias, et al.. (2018). Notices. Bulletin of Symbolic Logic. 24(2). 283–289. 1 indexed citations
6.
Memon, Anjum, Katie Taylor, Lisa Mohebati, et al.. (2016). Perceived barriers to accessing mental health services among black and minority ethnic (BME) communities: a qualitative study in Southeast England. BMJ Open. 6(11). e012337–e012337. 247 indexed citations breakdown →
7.
Stickland, Matthew, et al.. (2012). Measurement and simulation of the flow field around a triangular lattice meteorological mast. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 5(10). 7 indexed citations
8.
Scanlon, Thomas, et al.. (2009). Generalised Hasse varieties and their jet spaces. arXiv (Cornell University). 2 indexed citations
9.
Quail, Francis, Matthew Stickland, & Thomas Scanlon. (2009). Rapid manufacturing technique used in the development of a regenerative pump impeller. RSC Advances. 12(16). 1730–1736. 8 indexed citations
10.
Quail, Francis, Thomas Scanlon, & Matthew Stickland. (2009). Study of a regenerative pump using numerical and experimental techniques. Inorganic Chemistry. 47(21). 10062–6. 4 indexed citations
11.
Scanlon, Thomas. (2008). Infinite finitely generated fields are biinterpretable with ℕ. Journal of the American Mathematical Society. 21(3). 893–908. 4 indexed citations
12.
Pillay, Anand & Thomas Scanlon. (2003). Meromorphic groups. Transactions of the American Mathematical Society. 355(10). 3843–3859. 8 indexed citations
13.
Scanlon, Thomas. (2002). Helping the Other Victims of September 11: Gander Uses Multiple EOCs to Deal With 38 Diverted Flights. International Journal of Mass Emergencies & Disasters. 20(3). 369–398. 4 indexed citations
14.
Scanlon, Thomas. (1996). Not on the Record: Disasters, Records, and Disaster Research. International Journal of Mass Emergencies & Disasters. 14(3). 265–280. 1 indexed citations
15.
Scanlon, Thomas. (1996). Changing a Corporate Culture: Managing Risk on the London Underground. International Journal of Mass Emergencies & Disasters. 14(2). 175–194. 1 indexed citations
16.
Scanlon, Thomas. (1994). The Role of EOCs in Emergency Management: A Comparison of Canadian and American Experience. International Journal of Mass Emergencies & Disasters. 12(1). 51–75. 27 indexed citations
17.
Scanlon, Thomas, et al.. (1993). Is Friday the 13th bad for your health?. BMJ. 307(6919). 1584–1586. 37 indexed citations
18.
Scanlon, Thomas. (1988). Winners and Losers: Some Thoughts about the Political Economy of Disaster. International Journal of Mass Emergencies & Disasters. 6(1). 47–63. 24 indexed citations
19.
Scanlon, Thomas. (1970). A Numerical Model Of The Ice Melting Process. WIT transactions on engineering sciences. 29. 1 indexed citations
20.
Scanlon, Thomas. (1963). Suicide under Workmen's Compensation Laws. Cleveland State law review. 12(1). 26. 1 indexed citations

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.

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