Thomas Parr

11.4k total citations · 2 hit papers
163 papers, 6.7k citations indexed

About

Thomas Parr is a scholar working on Cognitive Neuroscience, Pharmacology and Molecular Biology. According to data from OpenAlex, Thomas Parr has authored 163 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Cognitive Neuroscience, 30 papers in Pharmacology and 28 papers in Molecular Biology. Recurrent topics in Thomas Parr's work include Neural dynamics and brain function (53 papers), Embodied and Extended Cognition (45 papers) and Antibiotics Pharmacokinetics and Efficacy (30 papers). Thomas Parr is often cited by papers focused on Neural dynamics and brain function (53 papers), Embodied and Extended Cognition (45 papers) and Antibiotics Pharmacokinetics and Efficacy (30 papers). Thomas Parr collaborates with scholars based in United Kingdom, United States and Canada. Thomas Parr's co-authors include Karl Friston, Giovanni Pezzulo, Greg Moeck, Francis F. Arhin, Lancelot Da Costa, Geoffrey A. McKay, Ryan Smith, L E Bryan, Adam Belley and Robert E. W. Hancock and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Thomas Parr

157 papers receiving 6.5k citations

Hit Papers

The Markov blankets of life: autonomy, active inference a... 2018 2026 2020 2023 2018 2022 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 Parr United Kingdom 49 2.9k 1.3k 861 814 690 163 6.7k
Apostolos P. Georgopoulos United States 57 9.4k 3.3× 576 0.5× 372 0.4× 190 0.2× 1.8k 2.6× 311 14.3k
Donald A. Wilson United States 67 3.6k 1.3× 1.9k 1.5× 668 0.8× 164 0.2× 2.1k 3.1× 325 16.8k
Robert C. Wilson United States 57 3.2k 1.1× 3.2k 2.6× 278 0.3× 115 0.1× 714 1.0× 253 11.3k
D. Branch Moody United States 60 1.1k 0.4× 2.6k 2.1× 2.2k 2.5× 289 0.4× 311 0.5× 285 12.3k
Kyoko Suzuki Japan 46 1.8k 0.6× 1.4k 1.1× 266 0.3× 216 0.3× 296 0.4× 384 8.1k
Christian Sander Germany 43 990 0.3× 14.9k 12.0× 462 0.5× 104 0.1× 241 0.3× 162 20.9k
Sha Liu China 51 787 0.3× 3.3k 2.7× 191 0.2× 185 0.2× 97 0.1× 515 9.6k
Michio Nomura United States 86 1.1k 0.4× 17.8k 14.2× 368 0.4× 420 0.5× 471 0.7× 407 22.5k
James G. Martin Canada 68 478 0.2× 2.2k 1.8× 296 0.3× 46 0.1× 162 0.2× 438 16.7k
J. Helen Cross United Kingdom 71 5.0k 1.8× 4.2k 3.3× 1.4k 1.7× 43 0.1× 119 0.2× 539 31.4k

Countries citing papers authored by Thomas Parr

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Parr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Parr

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Parr. A scholar is included among the top collaborators of Thomas Parr 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 Parr. Thomas Parr 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.
Trapp, Sabrina, Karl Friston, Erich Schröger, & Thomas Parr. (2025). Towards a theory of biological intelligence. New Ideas in Psychology. 78. 101156–101156.
2.
Parr, Thomas, et al.. (2025). Active inference and cognitive control: Balancing deliberation and habits through precision optimization. Physics of Life Reviews. 54. 27–51.
3.
Parr, Thomas, Giovanni Pezzulo, & Karl Friston. (2025). Beyond Markov: Transformers, memory, and attention. Cognitive Neuroscience. 16(1-4). 5–23. 8 indexed citations
4.
Parr, Thomas, Giovanni Pezzulo, & Karl Friston. (2025). Closing the box. Cognitive Neuroscience. 16(1-4). 43–48.
5.
Friston, Karl, Lancelot Da Costa, Alexander Tschantz, et al.. (2024). Supervised structure learning. Biological Psychology. 193. 108891–108891. 12 indexed citations
6.
Limanowski, Jakub, Rick A. Adams, James M. Kilner, & Thomas Parr. (2024). The Many Roles of Precision in Action. Entropy. 26(9). 790–790. 3 indexed citations
7.
Parr, Thomas, Ashwini Oswal, & Sanjay Manohar. (2024). Inferring when to move. Neuroscience & Biobehavioral Reviews. 169. 105984–105984. 3 indexed citations
8.
Parr, Thomas, Karl Friston, & Peter Zeidman. (2024). Active Data Selection and Information Seeking. Algorithms. 17(3). 118–118. 1 indexed citations
9.
Parr, Thomas & Jakub Limanowski. (2023). Synchronising our internal clocks. Physics of Life Reviews. 46. 258–260. 2 indexed citations
10.
Parr, Thomas, Karl Friston, & Giovanni Pezzulo. (2023). Generative models for sequential dynamics in active inference. Cognitive Neurodynamics. 18(6). 3259–3272. 5 indexed citations
11.
Parr, Thomas, James M. Kilner, & Karl Friston. (2023). Functional asymmetry and the consequences of action. Physics of Life Reviews. 44. 145–147. 2 indexed citations
12.
Fradkin, Isaac, Rick A. Adams, Thomas Parr, Jonathan P. Roiser, & Jonathan D. Huppert. (2020). Searching for an anchor in an unpredictable world: A computational model of obsessive compulsive disorder.. Psychological Review. 127(5). 672–699. 51 indexed citations
13.
Costa, Lancelot Da, Thomas Parr, Biswa Sengupta, & Karl Friston. (2020). Natural selection finds natural gradient. arXiv (Cornell University). 4 indexed citations
14.
McEntee, Laura, Adam Johnson, Nicola Farrington, et al.. (2019). Pharmacodynamics of Tebipenem: New Options for Oral Treatment of Multidrug-Resistant Gram-Negative Infections. Antimicrobial Agents and Chemotherapy. 63(8). 39 indexed citations
15.
Brouillette, Éric, et al.. (2019). In Vitro Activity of Tebipenem (SPR859) against Penicillin-Binding Proteins of Gram-Negative and Gram-Positive Bacteria. Antimicrobial Agents and Chemotherapy. 63(4). 18 indexed citations
16.
Benrimoh, David, Thomas Parr, Rick A. Adams, & Karl Friston. (2019). Hallucinations both in and out of context: An active inference account. PLoS ONE. 14(8). e0212379–e0212379. 29 indexed citations
17.
McKay, Geoffrey A., Sylvain Beaulieu, Francis F. Arhin, et al.. (2009). Time-kill kinetics of oritavancin and comparator agents against Staphylococcus aureus, Enterococcus faecalis and Enterococcus faecium. Journal of Antimicrobial Chemotherapy. 63(6). 1191–1199. 114 indexed citations
18.
Patti, Gary J., Sung Joon Kim, Tsyr‐Yan Yu, et al.. (2009). Vancomycin and Oritavancin Have Different Modes of Action in Enterococcus faecium. Journal of Molecular Biology. 392(5). 1178–1191. 68 indexed citations
19.
Dietrich, Evelyne, Tom J. Houghton, Francis F. Arhin, et al.. (2008). Bisphosphonated Benzoxazinorifamycin Prodrugs for the Prevention and Treatment of Osteomyelitis. ChemMedChem. 3(12). 1863–1868. 21 indexed citations
20.
Chamberland, Suzanne, François Malouin, Harvey Rabin, et al.. (1990). Persistence of Pseudomonas aeruginosa during ciprofloxacin therapy of a cystic fibrosis patient: transient resistance to quinolones and protein F-deficiency. Journal of Antimicrobial Chemotherapy. 25(6). 995–1010. 27 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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