Andrew R. Novak

971 total citations
48 papers, 702 citations indexed

About

Andrew R. Novak is a scholar working on Orthopedics and Sports Medicine, Developmental and Educational Psychology and Economics and Econometrics. According to data from OpenAlex, Andrew R. Novak has authored 48 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Orthopedics and Sports Medicine, 23 papers in Developmental and Educational Psychology and 16 papers in Economics and Econometrics. Recurrent topics in Andrew R. Novak's work include Sports Performance and Training (34 papers), Sport Psychology and Performance (19 papers) and Sports Analytics and Performance (16 papers). Andrew R. Novak is often cited by papers focused on Sports Performance and Training (34 papers), Sport Psychology and Performance (19 papers) and Sports Analytics and Performance (16 papers). Andrew R. Novak collaborates with scholars based in Australia, United Kingdom and Netherlands. Andrew R. Novak's co-authors include Job Fransen, Aaron J. Coutts, Kyle J.M. Bennett, Franco M. Impellizzeri, Ben J. Dascombe, Mark L. Watsford, Matthew S. Tenan, Matthieu Lenoir, Derek Panchuk and Alan McCall and has published in prestigious journals such as Pain, Computers in Human Behavior and Frontiers in Psychology.

In The Last Decade

Andrew R. Novak

48 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew R. Novak Australia 15 471 328 116 84 75 48 702
Kyle J.M. Bennett Australia 17 502 1.1× 476 1.5× 85 0.7× 117 1.4× 108 1.4× 43 802
Šime Veršić Croatia 16 634 1.3× 223 0.7× 113 1.0× 38 0.5× 27 0.4× 66 737
Anton Kalén Spain 13 366 0.8× 224 0.7× 141 1.2× 64 0.8× 31 0.4× 28 551
Miran Kondrič Slovenia 20 547 1.2× 233 0.7× 73 0.6× 109 1.3× 106 1.4× 51 936
Adam L. Kelly United Kingdom 20 870 1.8× 629 1.9× 152 1.3× 172 2.0× 50 0.7× 94 1.2k
Francisco Pradas de la Fuente Spain 16 630 1.3× 255 0.8× 60 0.5× 82 1.0× 28 0.4× 88 884
Andrzej Rokita Poland 21 787 1.7× 367 1.1× 141 1.2× 65 0.8× 26 0.3× 80 1.0k
Gustavo De Conti Teixeira Costa Brazil 13 424 0.9× 244 0.7× 224 1.9× 67 0.8× 55 0.7× 105 653
Nenad Stojiljković Serbia 12 671 1.4× 256 0.8× 60 0.5× 58 0.7× 63 0.8× 43 966
Irene R. Faber Germany 17 463 1.0× 497 1.5× 79 0.7× 118 1.4× 39 0.5× 46 804

Countries citing papers authored by Andrew R. Novak

Since Specialization
Citations

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

Fields of papers citing papers by Andrew R. Novak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew R. Novak. 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 Andrew R. Novak. The network helps show where Andrew R. Novak may publish in the future.

Co-authorship network of co-authors of Andrew R. Novak

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew R. Novak. A scholar is included among the top collaborators of Andrew R. Novak 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 Andrew R. Novak. Andrew R. Novak 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.
Bennett, Kyle J.M., Dylan Poulus, & Andrew R. Novak. (2025). The Practice Behaviors of Expert League of Legends Players: An Exploratory Study. International Journal of Human-Computer Interaction. 42(4). 2279–2291. 2 indexed citations
2.
Novak, Andrew R., et al.. (2024). Skill acquisition interventions for the learning of sports-related skills: A scoping review of randomised controlled trials. Psychology of sport and exercise. 72. 102615–102615. 8 indexed citations
3.
Duffield, Rob, et al.. (2024). Associations Between Match Running Performance and Environmental Temperatures in 4 Professional Football Leagues. International Journal of Sports Physiology and Performance. 20(1). 109–119. 4 indexed citations
4.
Novak, Andrew R., et al.. (2023). Safety and efficacy of peripheral nerve blocks to treat refractory headaches after aneurysmal subarachnoid hemorrhage – A pilot observational study. Frontiers in Neurology. 14. 1122384–1122384. 2 indexed citations
5.
Novak, Andrew R., et al.. (2022). A holistic analysis of collective behaviour and team performance in Australian Football via structural equation modelling. Science and Medicine in Football. 7(1). 64–73. 9 indexed citations
6.
Novak, Andrew R., et al.. (2022). Examining the game-specific practice behaviors of professional and semi-professional esports players: A 52-week longitudinal study. Computers in Human Behavior. 137. 107421–107421. 15 indexed citations
7.
Watsford, Mark L., et al.. (2021). Tactical analysis of individual and team behaviour in professional Australian Football. Science and Medicine in Football. 6(2). 172–180. 9 indexed citations
8.
Novak, Andrew R., et al.. (2021). An assessment of physical and spatiotemporal behaviour during different phases of match play in professional Australian football. Journal of Sports Sciences. 39(19). 2232–2241. 10 indexed citations
9.
Novak, Andrew R., et al.. (2021). Factors associated with cooperative network connectedness in a professional Australian football small-sided game. Science and Medicine in Football. 6(4). 511–518. 1 indexed citations
10.
Novak, Andrew R., et al.. (2021). Analysis of the worst-case scenarios in an elite football team: Towards a better understanding and application. Journal of Sports Sciences. 39(16). 1850–1859. 58 indexed citations
11.
Novak, Andrew R., et al.. (2021). Match simulation practice may not represent competitive match play in professional Australian football. Journal of Sports Sciences. 40(4). 413–421. 6 indexed citations
13.
Fransen, Job, et al.. (2021). Cooperative passing network features are associated with successful match outcomes in the Australian Football League. International Journal of Sports Science & Coaching. 17(5). 1101–1108. 7 indexed citations
14.
Spurrs, Robert W., et al.. (2020). Simplifying the complexity of assessing physical performance in professional Australian football. Science and Medicine in Football. 4(4). 285–292. 4 indexed citations
15.
Novak, James I. & Andrew R. Novak. (2020). Is additive manufacturing improving performance in Sports? A systematic review. Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology. 235(3). 163–175. 14 indexed citations
16.
Watsford, Mark L., et al.. (2020). Improving the interpretation of skill indicators in professional Australian Football. Journal of science and medicine in sport. 23(9). 872–878. 5 indexed citations
17.
Bennett, Kyle J.M., et al.. (2019). Esports: The Chess of the 21st Century. Frontiers in Psychology. 10. 156–156. 58 indexed citations
18.
Hurst, Howard Thomas, Andrew R. Novak, Stephen S. Cheung, & Stephen Atkins. (2019). Knowledge of and attitudes towards concussion in cycling: A preliminary study. CLOK (University of Central Lancashire). 8(1). 11–17. 12 indexed citations
19.
Bennett, Kyle J.M., et al.. (2018). Assessing the validity of a video-based decision-making assessment for talent identification in youth soccer. Journal of science and medicine in sport. 22(6). 729–734. 33 indexed citations
20.
Novak, Andrew R. & Ben J. Dascombe. (2014). Physiological and performance characteristics of road, mountain bike and BMX cyclists. 3(3). 9–16. 11 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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