Thomas Sawczuk

583 total citations
33 papers, 406 citations indexed

About

Thomas Sawczuk is a scholar working on Orthopedics and Sports Medicine, Developmental and Educational Psychology and Epidemiology. According to data from OpenAlex, Thomas Sawczuk has authored 33 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Orthopedics and Sports Medicine, 12 papers in Developmental and Educational Psychology and 6 papers in Epidemiology. Recurrent topics in Thomas Sawczuk's work include Sports Performance and Training (22 papers), Sports injuries and prevention (22 papers) and Sport Psychology and Performance (11 papers). Thomas Sawczuk is often cited by papers focused on Sports Performance and Training (22 papers), Sports injuries and prevention (22 papers) and Sport Psychology and Performance (11 papers). Thomas Sawczuk collaborates with scholars based in United Kingdom, Australia and South Africa. Thomas Sawczuk's co-authors include Ben Jones, Kevin Till, Sean Scantlebury, Padraic J. Phibbs, Dan Weaving, Dale B. Read, Jonathon Weakley, Clive Beggs, Stacey Emmonds and Sean Williams and has published in prestigious journals such as PLoS ONE, Sports Medicine and European Journal of Applied Physiology.

In The Last Decade

Thomas Sawczuk

28 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Sawczuk United Kingdom 13 348 124 52 47 43 33 406
Sean Scantlebury United Kingdom 14 486 1.4× 182 1.5× 61 1.2× 83 1.8× 38 0.9× 36 552
Alistair Murphy Australia 11 293 0.8× 112 0.9× 43 0.8× 83 1.8× 23 0.5× 28 384
Ryan M. Curtis United States 9 199 0.6× 52 0.4× 51 1.0× 53 1.1× 30 0.7× 19 285
Samiha Amara Tunisia 8 291 0.8× 104 0.8× 40 0.8× 70 1.5× 30 0.7× 31 390
Aaron Kellett Australia 11 395 1.1× 125 1.0× 42 0.8× 100 2.1× 72 1.7× 12 463
Davide Ferioli Italy 15 570 1.6× 230 1.9× 105 2.0× 98 2.1× 33 0.8× 36 642
Gustavo Drago Brazil 10 321 0.9× 98 0.8× 54 1.0× 41 0.9× 21 0.5× 12 398
Stefan Altmann Germany 15 531 1.5× 178 1.4× 87 1.7× 113 2.4× 31 0.7× 62 644
Vlatko Vučetić Croatia 13 433 1.2× 96 0.8× 137 2.6× 96 2.0× 78 1.8× 45 585
Bruno Ruscello Italy 11 301 0.9× 130 1.0× 48 0.9× 85 1.8× 19 0.4× 40 376

Countries citing papers authored by Thomas Sawczuk

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Sawczuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Sawczuk

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Sawczuk. A scholar is included among the top collaborators of Thomas Sawczuk 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 Sawczuk. Thomas Sawczuk 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.
Rowson, Steven, Kevin Till, David Allan, et al.. (2025). Optimising Instrumented Mouthguard Data Analysis: Video Synchronisation Using a Cross-correlation Approach. Annals of Biomedical Engineering. 53(4). 923–933. 1 indexed citations
2.
Sawczuk, Thomas, Dario Cazzola, Matt R. Cross, et al.. (2025). Head Acceleration Event Exposure During Elite Men’s and Women’s Rugby Union Training. Sports Medicine. 56(1). 229–241.
3.
4.
Owen, Cameron, Thomas Sawczuk, James Brown, et al.. (2025). Evaluating the Probability of Head Acceleration Events in Elite Men’s and Women’s Rugby Union Match-Play: The Impact of Tackle Height and Body Position. Sports Medicine. 55(10). 2641–2657. 1 indexed citations
5.
Jones, Ben, et al.. (2024). Movement characteristics of international and elite domestic netball players during match-play. International Journal of Performance Analysis in Sport. 25(1). 144–161. 2 indexed citations
6.
7.
Sawczuk, Thomas, Cameron Owen, Lindsay Starling, et al.. (2024). Training and Match‐Related Head Acceleration Events in Top Level Domestic Senior Women's and Men's Rugby Union: A Multi‐League Instrumented Mouthguard Study. Scandinavian Journal of Medicine and Science in Sports. 34(10). e14744–e14744. 5 indexed citations
8.
Sawczuk, Thomas, et al.. (2024). A Bayesian Mixture Model approach to expected possession values in rugby league. PLoS ONE. 19(11). e0308222–e0308222.
9.
Sawczuk, Thomas, Cameron Owen, Lindsay Starling, et al.. (2024). Head Acceleration Events During Tackle, Ball‐Carry, and Ruck Events in Professional Southern Hemisphere Men's Rugby Union Matches: A Study Using Instrumented Mouthguards. Scandinavian Journal of Medicine and Science in Sports. 34(6). e14676–e14676. 8 indexed citations
10.
11.
Nicholson, Gareth, Thomas Sawczuk, Cameron Owen, et al.. (2022). Are rugby league players involved in more tackles than normal, prior to an injury sustained during a tackle event?. Journal of Sports Sciences. 40(22). 2517–2523.
12.
Scantlebury, Sean, Thomas Sawczuk, Stacey Emmonds, et al.. (2022). The anthropometric and physical qualities of women’s rugby league Super League and international players; identifying differences in playing position and level. PLoS ONE. 17(1). e0249803–e0249803. 14 indexed citations
13.
Owen, Cameron, Kevin Till, Padraic J. Phibbs, et al.. (2022). A multidimensional approach to identifying the physical qualities of male English regional academy rugby union players; considerations of position, chronological age, relative age and maturation. European Journal of Sport Science. 23(2). 178–188. 18 indexed citations
14.
Heffernan, Shane M., et al.. (2022). Autonomic Nervous System Indices of Player Readiness During Elite-Level Rugby Union Game-Week Microcycles. The Journal of Strength and Conditioning Research. 36(11). 3173–3178. 4 indexed citations
15.
Sawczuk, Thomas, Anna Palczewska, & Ben Jones. (2021). Development of an expected possession value model to analyse team attacking performances in rugby league. arXiv (Cornell University). 5 indexed citations
16.
Leduc, Cédric, Jason Tee, Padraic J. Phibbs, et al.. (2020). Objective sleep patterns and validity of self-reported sleep monitoring across different playing levels in rugby union. South African Journal of Sports Medicine. 32(1). 1–6. 2 indexed citations
17.
Scantlebury, Sean, Kevin Till, Clive Beggs, et al.. (2020). Achieving a desired training intensity through the prescription of external training load variables in youth sport: More pieces to the puzzle required. Journal of Sports Sciences. 38(10). 1124–1131. 10 indexed citations
18.
Weakley, Jonathon, Kyle Wilson, Kevin Till, et al.. (2019). Visual kinematic feedback enhances velocity, power, motivation and competitiveness in adolescent female athletes. Leeds Beckett Repository (Leeds Beckett University). 10 indexed citations
19.
Weaving, Dan, Thomas Sawczuk, Sean Williams, et al.. (2018). The peak duration-specific locomotor demands and concurrent collision frequencies of European Super League rugby. Journal of Sports Sciences. 37(3). 322–330. 54 indexed citations
20.
Emmonds, Stacey, et al.. (2018). Seasonal Changes in the Physical Performance of Elite Youth Female Soccer Players. The Journal of Strength and Conditioning Research. 34(9). 2636–2643. 36 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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2026