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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Modeling Training Loads and Injuries: The Dangers of Discretization
David L. Carey, Kay M. Crossley, Rod Whiteley, et al.
Medicine & Science in Sports & Exercise (2018) Vol. 50, Iss. 11, pp. 2267-2276
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Machine learning methods in sport injury prediction and prevention: a systematic review
Hans Van Eetvelde, Luciana De Michelis Mendonça, Christophe Ley, et al.
Journal of Experimental Orthopaedics (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 181
Debunking the myths about training load, injury and performance: empirical evidence, hot topics and recommendations for practitioners
Tim J. Gabbett
British Journal of Sports Medicine (2018) Vol. 54, Iss. 1, pp. 58-66
Closed Access | Times Cited: 134
Developing Athlete Monitoring Systems in Team Sports: Data Analysis and Visualization
Heidi R. Thornton, Jace A. Delaney, Grant M. Duthie, et al.
International Journal of Sports Physiology and Performance (2019) Vol. 14, Iss. 6, pp. 698-705
Closed Access | Times Cited: 89
Analyzing Activity and Injury: Lessons Learned from the Acute:Chronic Workload Ratio
Chinchin Wang, Jorge Trejo Vargas, Tyrel Stokes, et al.
Sports Medicine (2020) Vol. 50, Iss. 7, pp. 1243-1254
Closed Access | Times Cited: 81
Just How Confident Can We Be in Predicting Sports Injuries? A Systematic Review of the Methodological Conduct and Performance of Existing Musculoskeletal Injury Prediction Models in Sport
Garrett S. Bullock, Joseph A. Mylott, Tom Hughes, et al.
Sports Medicine (2022) Vol. 52, Iss. 10, pp. 2469-2482
Closed Access | Times Cited: 40
Is the Acute: Chronic Workload Ratio (ACWR) Associated with Risk of Time-Loss Injury in Professional Team Sports? A Systematic Review of Methodology, Variables and Injury Risk in Practical Situations
Renato Andrade, Eirik Halvorsen Wik, Alexandre Rebelo‐Marques, et al.
Sports Medicine (2020) Vol. 50, Iss. 9, pp. 1613-1635
Closed Access | Times Cited: 69
Getting the most out of intensive longitudinal data: a methodological review of workload–injury studies
Johann Windt, Clare L. Ardern, Tim J. Gabbett, et al.
BMJ Open (2018) Vol. 8, Iss. 10, pp. e022626-e022626
Open Access | Times Cited: 56
To Couple or not to Couple? For Acute:Chronic Workload Ratios and Injury Risk, Does it Really Matter?
Tim J. Gabbett, Billy T. Hulin, Peter Blanch, et al.
International Journal of Sports Medicine (2019) Vol. 40, Iss. 09, pp. 597-600
Closed Access | Times Cited: 47
Poor functional performance 1 year after ACL reconstruction increases the risk of early osteoarthritis progression
Brooke Patterson, Adam G. Culvenor, Christian J. Barton, et al.
British Journal of Sports Medicine (2020) Vol. 54, Iss. 9, pp. 546-555
Open Access | Times Cited: 47
Man & machine: Adaptive tools for the contemporary performance analyst
Sam Robertson
Journal of Sports Sciences (2020) Vol. 38, Iss. 18, pp. 2118-2126
Open Access | Times Cited: 41
Training Load and Its Role in Injury Prevention, Part 2: Conceptual and Methodologic Pitfalls
Franco M. Impellizzeri, Alan McCall, Patrick Ward, et al.
Journal of Athletic Training (2020) Vol. 55, Iss. 9, pp. 893-901
Open Access | Times Cited: 40
Clinical Prediction Models in Sports Medicine: A Guide for Clinicians and Researchers
Garrett S. Bullock, Tom Hughes, Jamie C. Sergeant, et al.
Journal of Orthopaedic and Sports Physical Therapy (2021) Vol. 51, Iss. 10, pp. 517-525
Closed Access | Times Cited: 34
Time-to-event analysis for sports injury research part 1: time-varying exposures
Rasmus Oestergaard Nielsen, Michael Lejbach Bertelsen, Daniel Ramskov, et al.
British Journal of Sports Medicine (2018) Vol. 53, Iss. 1, pp. 61-68
Open Access | Times Cited: 39
Extrinsic and Intrinsic Risk Factors Associated with Hamstring Injury
Tania Pizzari, Brady Green, Nicol van Dyk
Springer eBooks (2020), pp. 83-115
Closed Access | Times Cited: 33
Not straightforward: modelling non-linearity in training load and injury research
Lena Kristin Bache‐Mathiesen, Thor Einar Andersen, Torstein Dalen-Lorentsen, et al.
BMJ Open Sport & Exercise Medicine (2021) Vol. 7, Iss. 3, pp. e001119-e001119
Open Access | Times Cited: 25
Greater Association of Relative Thresholds Than Absolute Thresholds With Noncontact Lower-Body Injury in Professional Australian Rules Footballers: Implications for Sprint Monitoring
Fergus K. O’Connor, Heidi R. Thornton, Dean Ritchie, et al.
International Journal of Sports Physiology and Performance (2019) Vol. 15, Iss. 2, pp. 204-212
Closed Access | Times Cited: 28
The relative contribution of training intensity and duration to daily measures of training load in professional rugby league and union
Dan Weaving, Nicholas Dalton‐Barron, Shaun J. McLaren, et al.
Journal of Sports Sciences (2020) Vol. 38, Iss. 14, pp. 1674-1681
Open Access | Times Cited: 25
Training Load and Injury Part 2: Questionable Research Practices Hijack the Truth and Mislead Well-Intentioned Clinicians
Franco M. Impellizzeri, Patrick Ward, Aaron J. Coutts, et al.
Journal of Orthopaedic and Sports Physical Therapy (2020) Vol. 50, Iss. 10, pp. 577-584
Closed Access | Times Cited: 23
Global Positioning System–Derived Workload Metrics and Injury Risk in Team-Based Field Sports: A Systematic Review
Natalie Kupperman, Jay Hertel
Journal of Athletic Training (2020) Vol. 55, Iss. 9, pp. 931-943
Open Access | Times Cited: 21
A Cherry, Ripe for Picking: The Relationship Between the Acute-Chronic Workload Ratio and Health Problems
Torstein Dalen-Lorentsen, Thor Einar Andersen, John Bjørneboe, et al.
Journal of Orthopaedic and Sports Physical Therapy (2021) Vol. 51, Iss. 4, pp. 162-173
Open Access | Times Cited: 20
The Trade Secret Taboo: Open Science Methods are Required to Improve Prediction Models in Sports Medicine and Performance
Garrett S. Bullock, Patrick Ward, Franco M. Impellizzeri, et al.
Sports Medicine (2023) Vol. 53, Iss. 10, pp. 1841-1849
Closed Access | Times Cited: 8
The Validity of a Global Navigation Satellite System for Quantifying Small-Area Team-Sport Movements
Jace A. Delaney, Thomas Wileman, Nicholas J. Perry, et al.
The Journal of Strength and Conditioning Research (2019) Vol. 33, Iss. 6, pp. 1463-1466
Closed Access | Times Cited: 22
Absolute and Relative Load and Injury in Elite Junior Australian Football Players Over 1 Season
Timothy Lathlean, Paul B. Gastin, Stuart Newstead, et al.
International Journal of Sports Physiology and Performance (2019) Vol. 15, Iss. 4, pp. 511-519
Closed Access | Times Cited: 22
Relationships Among PlayerLoad, High-Intensity Intermittent Running Ability, and Injury Risk in Professional Rugby League Players
Billy T. Hulin, Tim J. Gabbett, Nathan J. Pickworth, et al.
International Journal of Sports Physiology and Performance (2019) Vol. 15, Iss. 3, pp. 423-429
Closed Access | Times Cited: 20
Functional Data Analysis in Sport Science: Example of Swimmers’ Progression Curves Clustering
Arthur Leroy, Andy Marc, Olivier Dupas, et al.
Applied Sciences (2018) Vol. 8, Iss. 10, pp. 1766-1766
Open Access | Times Cited: 18
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