Ivan Čuk

998 total citations
80 papers, 667 citations indexed

About

Ivan Čuk is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Complementary and alternative medicine. According to data from OpenAlex, Ivan Čuk has authored 80 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Orthopedics and Sports Medicine, 16 papers in Biomedical Engineering and 14 papers in Complementary and alternative medicine. Recurrent topics in Ivan Čuk's work include Sports Performance and Training (59 papers), Sports injuries and prevention (19 papers) and Cardiovascular and exercise physiology (14 papers). Ivan Čuk is often cited by papers focused on Sports Performance and Training (59 papers), Sports injuries and prevention (19 papers) and Cardiovascular and exercise physiology (14 papers). Ivan Čuk collaborates with scholars based in Serbia, Switzerland and Greece. Ivan Čuk's co-authors include Slobodan Jarić, Aleksandar Nedeljković, Beat Knechtle, Pantelis Τ. Nikolaidis, Dragan M. Mirkov, Miloš Kukolj, Dušan Ugarković, Elias Villiger, Katja Weiss and Mabliny Thuany and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ivan Čuk

67 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Čuk Serbia 14 532 305 108 78 74 80 667
Julien Piscione France 16 651 1.2× 214 0.7× 164 1.5× 130 1.7× 63 0.9× 55 798
Christopher R. Bellon United States 6 525 1.0× 208 0.7× 144 1.3× 115 1.5× 36 0.5× 9 676
Franco Merni Italy 15 585 1.1× 293 1.0× 86 0.8× 113 1.4× 45 0.6× 47 714
Naroa Etxebarria Australia 12 423 0.8× 151 0.5× 126 1.2× 89 1.1× 72 1.0× 36 591
Fernando González‐Mohíno Spain 14 531 1.0× 249 0.8× 222 2.1× 61 0.8× 60 0.8× 58 646
Vasiliki Manou Greece 14 491 0.9× 191 0.6× 127 1.2× 131 1.7× 38 0.5× 35 648
John P. Wagle United States 14 641 1.2× 250 0.8× 144 1.3× 99 1.3× 46 0.6× 35 755
Elias Zacharogiannis Greece 12 513 1.0× 173 0.6× 155 1.4× 93 1.2× 38 0.5× 39 628
Sandro Bartolomei Italy 16 573 1.1× 193 0.6× 136 1.3× 96 1.2× 40 0.5× 55 755
Satoshi Mizuguchi United States 15 659 1.2× 255 0.8× 106 1.0× 117 1.5× 34 0.5× 47 755

Countries citing papers authored by Ivan Čuk

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Čuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Čuk

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Čuk. A scholar is included among the top collaborators of Ivan Čuk 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 Ivan Čuk. Ivan Čuk 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.
Nikolaidis, Pantelis Τ., et al.. (2026). Pacing of the first and only female finisher in the world's longest triathlon: The 2024 Triple Deca ultra triathlon. Journal of Exercise Science & Fitness. 24(2). 200454–200454.
2.
Castagna, Carlo, Peter Krustrup, Del P. Wong, et al.. (2025). Exploring the Use of 5 Different Yo‐Yo Tests in Evaluating VO2max$$ \dot{\mathrm{V}}{\mathrm{O}}_{2\max } $$ and Fitness Profile in Team Sports: A Systematic Review and Meta‐Analysis. Scandinavian Journal of Medicine and Science in Sports. 35(5). e70054–e70054.
3.
Forte, Pedro, Pantelis Τ. Nikolaidis, Marília Santos Andrade, et al.. (2025). Sex-based performance analysis in Olympic triathlon: swimming, cycling, and running at Paris 2024. Sport Sciences for Health. 21(4). 2775–2784.
4.
Thuany, Mabliny, Pedro Forte, Katja Weiss, et al.. (2024). Road and trail running from 5 km to an ultra-marathon – trends in Switzerland from 1999 to 2019. Human Movement. 25(3). 96–108. 1 indexed citations
5.
Knechtle, Beat, Mabliny Thuany, Elias Villiger, et al.. (2024). Europe has the fastest Ironman race courses and the fastest Ironman age group triathletes. Scientific Reports. 14(1). 20903–20903. 2 indexed citations
6.
Čuk, Ivan, et al.. (2024). Running Variability in Marathon—Evaluation of the Pacing Variables. Medicina. 60(2). 218–218. 3 indexed citations
7.
Weiss, Katja, Elias Villiger, Mabliny Thuany, et al.. (2024). Analysis of over 1 million race records shows runners from East African countries as the fastest in 50-km ultra-marathons. Scientific Reports. 14(1). 8006–8006. 2 indexed citations
8.
Knechtle, Beat, Elias Villiger, Katja Weiss, et al.. (2024). Analysis of the 10-day ultra-marathon using a predictive XG boost model. BMC Research Notes. 17(1). 372–372. 1 indexed citations
9.
Knechtle, Beat, Elias Villiger, Mabliny Thuany, et al.. (2024). The influence of origin and race location on performance in IRONMAN® age group triathletes. PLoS ONE. 19(12). e0315064–e0315064. 1 indexed citations
11.
Knechtle, Beat, Elias Villiger, Mabliny Thuany, et al.. (2023). Comparing the Performance Gap Between Males and Females in the Older Age Groups in IRONMAN® 70.3: An Internet-Based Cross-Sectional Study of More Than 800,000 Race Records. Sports Medicine - Open. 9(1). 88–88. 6 indexed citations
12.
Knechtle, Beat, Pedro Forte, Katja Weiss, et al.. (2022). Biophysical characterization of the first ultra-cyclist in the world to break the 1,000 km barrier in 24-h non-stop road cycling: A case report. Frontiers in Cardiovascular Medicine. 9. 990382–990382. 3 indexed citations
13.
Čuk, Ivan, et al.. (2019). Age Differences in Pacing in Endurance Running: Comparison between Marathon and Half-Marathon Men and Women. Medicina. 55(8). 479–479. 16 indexed citations
14.
Čuk, Ivan, et al.. (2018). How Kinematics Influences Shot Put Results in Track and Field of International Level Athletes (a Case Study). Journal of physical education and sport. 18. 512.
15.
Čuk, Ivan, et al.. (2017). Change the Gymnastics Minimum Age Requirements and the Changes That Have Occurred in Major Competitions in Women's Artistic Gymnastics. Acta kinesiologica. 11(1). 80–88. 3 indexed citations
16.
Nedeljković, Aleksandar, et al.. (2017). DOES SPECIALIZATION IN KARATE AFFECT REACTION TIME IN SPECIFIC KARATE KUMITE SITUATIONS. ISBS Proceedings Archive. 35(1). 10. 2 indexed citations
17.
Pušnik, Igor & Ivan Čuk. (2014). THERMAL IMAGING OF HANDS DURING SIMPLE GYMNASTICS ELEMENTS ON THE WOODEN BAR WITH AND WITHOUT USE OF MAGNESIUM CARBONATE. Science of Gymnastics Journal. 6(1). 67–72. 4 indexed citations
18.
Čuk, Ivan, et al.. (2006). Kako obravnavati različne učence v osnovni šoli - dilema na formalni ravni in z vidika učiteljev. Repository of the University of Ljubljana (University of Ljubljana). 54–77.
19.
Čuk, Ivan, et al.. (2000). KINEMATIC ANALYSIS OF SOME BACKWARD ACROBATIC JUMPS. ISBS - Conference Proceedings Archive. 1(1). 2 indexed citations
20.
Čuk, Ivan, et al.. (1995). THOMAS FLAIRE WITH 1/1 SPINDLE VERSUS DOUBLE LEG CIRCLE WITH 1/1 SPINDLE. ISBS - Conference Proceedings Archive. 1(1). 1 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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