Mark J. Connick

1.4k total citations
53 papers, 911 citations indexed

About

Mark J. Connick is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Psychiatry and Mental health. According to data from OpenAlex, Mark J. Connick has authored 53 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Orthopedics and Sports Medicine, 22 papers in Biomedical Engineering and 20 papers in Psychiatry and Mental health. Recurrent topics in Mark J. Connick's work include Sports Performance and Training (28 papers), Sports injuries and prevention (27 papers) and Cerebral Palsy and Movement Disorders (20 papers). Mark J. Connick is often cited by papers focused on Sports Performance and Training (28 papers), Sports injuries and prevention (27 papers) and Cerebral Palsy and Movement Disorders (20 papers). Mark J. Connick collaborates with scholars based in Australia, United Kingdom and Belgium. Mark J. Connick's co-authors include Emma Beckman, Sean Tweedy, Philip Graham‐Smith, Katherine Burgess, Stephen Pearson, Vincent G. Kelly, François‐Xavier Li, Lachlan P. James, Yves Vanlandewijck and G. Gregory Haff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and Journal of Experimental Biology.

In The Last Decade

Mark J. Connick

50 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Connick Australia 18 597 295 265 239 105 53 911
Joeri Verellen Belgium 14 248 0.4× 183 0.6× 124 0.5× 273 1.1× 53 0.5× 23 524
Andrzej Kosmol Poland 16 437 0.7× 80 0.3× 80 0.3× 221 0.9× 40 0.4× 37 619
Amir Letafatkar Iran 19 534 0.9× 78 0.3× 276 1.0× 91 0.4× 20 0.2× 126 1.1k
Kate I. Minick United States 10 283 0.5× 97 0.3× 147 0.6× 130 0.5× 15 0.1× 23 805
Gray Cook United States 11 961 1.6× 75 0.3× 295 1.1× 55 0.2× 37 0.4× 14 1.3k
Cristina Granados Spain 23 1.9k 3.2× 93 0.3× 511 1.9× 265 1.1× 40 0.4× 66 2.2k
Craig Liebenson United States 10 464 0.8× 92 0.3× 241 0.9× 242 1.0× 10 0.1× 86 1.2k
Anselmo de Athayde Costa e Silva Brazil 14 161 0.3× 79 0.3× 61 0.2× 125 0.5× 41 0.4× 68 529
Nevin Ergün Türkiye 15 259 0.4× 58 0.2× 124 0.5× 102 0.4× 20 0.2× 68 697
L. Valent Netherlands 17 120 0.2× 362 1.2× 126 0.5× 591 2.5× 28 0.3× 40 787

Countries citing papers authored by Mark J. Connick

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Connick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Connick. 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 Mark J. Connick. The network helps show where Mark J. Connick may publish in the future.

Co-authorship network of co-authors of Mark J. Connick

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Connick. A scholar is included among the top collaborators of Mark J. Connick 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 Mark J. Connick. Mark J. Connick 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.
2.
Connick, Mark J. & Glen A. Lichtwark. (2024). Individualization of Footwear for Optimizing Running Economy: A Theoretical Framework. Journal of Applied Biomechanics. 41(1). 1–7. 1 indexed citations
3.
Wade, Logan, et al.. (2024). Seasonal Muscular Power Changes: Considerations of Concurrent Resistance and Field-Based Training in Professional Rugby League. The Journal of Strength and Conditioning Research. 38(9). 1620–1626.
4.
5.
Carroll, Timothy J., et al.. (2023). The effects of crank power and cadence on muscle fascicle shortening velocity, muscle activation and joint-specific power during cycling. Journal of Experimental Biology. 226(13). 2 indexed citations
6.
Connick, Mark J., et al.. (2023). Reactive Strength Index as a Key Performance Indicator in Different Athlete Populations – A Systematic Review. Science & Sports. 39(2). 129–143. 8 indexed citations
7.
Connick, Mark J., et al.. (2021). Establishing the reliability of instrumented trunk impairment assessment methods to enable evidence-based classification in Para swimming. Journal of Sports Sciences. 39(sup1). 73–80. 1 indexed citations
8.
Beckman, Emma, et al.. (2020). Biomechanics of starting, sprinting and submaximal running in athletes with brain impairment: A systematic review. Journal of science and medicine in sport. 23(12). 1118–1127. 7 indexed citations
9.
Connick, Mark J., et al.. (2018). Using machine learning techniques and wearable inertial measurement units to predict front crawl elbow joint angle: a pilot study. Queensland's institutional digital repository (The University of Queensland). 36(1). 366. 2 indexed citations
10.
Hogarth, Luke, Vaughan Nicholson, Jemima Spathis, et al.. (2018). A battery of strength tests for evidence-based classification in Para swimming. Journal of Sports Sciences. 37(4). 404–413. 23 indexed citations
11.
Tweedy, Sean, Mark J. Connick, & Emma Beckman. (2018). Applying Scientific Principles to Enhance Paralympic Classification Now and in the Future. Physical Medicine and Rehabilitation Clinics of North America. 29(2). 313–332. 39 indexed citations
12.
Nicholson, Vaughan, Jemima Spathis, Luke Hogarth, et al.. (2018). Establishing the reliability of a novel battery of range of motion tests to enable evidence-based classification in Para Swimming. Physical Therapy in Sport. 32. 34–41. 18 indexed citations
13.
Hogarth, Luke, Carl Payton, Peter Van de Vliet, Mark J. Connick, & Brendan Burkett. (2018). A novel method to guide classification of para swimmers with limb deficiency. Scandinavian Journal of Medicine and Science in Sports. 28(11). 2397–2406. 20 indexed citations
14.
Connick, Mark J., Emma Beckman, Yves Vanlandewijck, et al.. (2017). Cluster analysis of novel isometric strength measures produces a valid and evidence-based classification structure for wheelchair track racing. British Journal of Sports Medicine. 52(17). 1123–1129. 35 indexed citations
15.
Beckman, Emma, Mark J. Connick, & Sean Tweedy. (2016). Assessing muscle strength for the purpose of classification in Paralympic sport: A review and recommendations. Journal of science and medicine in sport. 20(4). 391–396. 37 indexed citations
16.
Connick, Mark J., et al.. (2015). How Much Do Range of Movement and Coordination Affect Paralympic Sprint Performance?. Medicine & Science in Sports & Exercise. 47(10). 2216–2223. 20 indexed citations
17.
Connick, Mark J., et al.. (2015). Using Fitts' Law to Detect Intentional Misrepresentation. Journal of Motor Behavior. 48(2). 164–171. 16 indexed citations
18.
Beckman, Emma, Peter Newcombe, Yves Vanlandewijck, Mark J. Connick, & Sean Tweedy. (2014). Novel Strength Test Battery to Permit Evidence-Based Paralympic Classification. Medicine. 93(4). e31–e31. 23 indexed citations
19.
Vanlandewijck, Yves, Joeri Verellen, Emma Beckman, Mark J. Connick, & Sean Tweedy. (2011). Trunk Strength Effect on Track Wheelchair Start. Medicine & Science in Sports & Exercise. 43(12). 2344–2351. 39 indexed citations
20.
Burgess, Katherine, Mark J. Connick, Philip Graham‐Smith, & Stephen Pearson. (2007). Plyometric vs. Isometric Training Influences on Tendon Properties and Muscle Output. The Journal of Strength and Conditioning Research. 21(3). 986–986. 133 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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