Stefan Marković

1.2k total citations
37 papers, 938 citations indexed

About

Stefan Marković is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Stefan Marković has authored 37 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Orthopedics and Sports Medicine, 13 papers in Biomedical Engineering and 9 papers in Spectroscopy. Recurrent topics in Stefan Marković's work include Sports Performance and Training (17 papers), Advanced NMR Techniques and Applications (9 papers) and Muscle activation and electromyography studies (8 papers). Stefan Marković is often cited by papers focused on Sports Performance and Training (17 papers), Advanced NMR Techniques and Applications (9 papers) and Muscle activation and electromyography studies (8 papers). Stefan Marković collaborates with scholars based in Serbia, Russia and Slovenia. Stefan Marković's co-authors include Hartmut Oschkinat, Victoria Ann Higman, Barth‐Jan van Rossum, Stefan Jehle, Matthias Hiller, Ponni Rajagopal, Benjamin Bardiaux, Ronald Kühne, Rachel E. Klevit and Milivoj Dopsaj and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Stefan Marković

36 papers receiving 930 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Marković Serbia 13 433 386 222 153 141 37 938
Valéry Ozenne France 18 1.2k 2.8× 387 1.0× 551 2.5× 287 1.9× 170 1.2× 48 1.8k
Vincent Schram United States 15 478 1.1× 53 0.1× 36 0.2× 173 1.1× 51 0.4× 18 898
Kyle M. Gilbert Canada 22 151 0.3× 204 0.5× 72 0.3× 622 4.1× 12 0.1× 60 1.2k
Kaoru Nomura Japan 14 241 0.6× 258 0.7× 171 0.8× 43 0.3× 8 0.1× 39 590
Angèle Viola France 20 298 0.7× 27 0.1× 73 0.3× 260 1.7× 27 0.2× 43 1.1k
Francesco Vanzi Italy 22 676 1.6× 50 0.1× 81 0.4× 66 0.4× 152 1.1× 49 1.4k
Richard W. Mitchell United States 19 411 0.9× 71 0.2× 39 0.2× 8 0.1× 166 1.2× 48 1.1k
Jay Newman United States 16 287 0.7× 48 0.1× 144 0.6× 44 0.3× 249 1.8× 29 789
Mélanie Schmitt Germany 16 160 0.4× 123 0.3× 31 0.1× 610 4.0× 14 0.1× 41 975
Paul J. M. Folkers Netherlands 18 407 0.9× 107 0.3× 136 0.6× 348 2.3× 16 0.1× 27 1.0k

Countries citing papers authored by Stefan Marković

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Marković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Marković

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Marković. A scholar is included among the top collaborators of Stefan Marković 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 Stefan Marković. Stefan Marković 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.
Umek, Anton, et al.. (2023). Variability and the Correlation of Kinematic and Temporal Parameters in Different Modalities of the Reverse Punch Measured by Sensors. Applied Sciences. 13(18). 10348–10348. 1 indexed citations
2.
Verghese, George C., Mihály Vöröslakos, Stefan Marković, et al.. (2023). Autonomous animal heating and cooling system for temperature‐regulated magnetic resonance experiments. NMR in Biomedicine. 37(2). e5046–e5046. 1 indexed citations
3.
Koropanovski, Nenad, et al.. (2022). Specific Test Design for the In-Depth Technique Analysis of Elite Karate Competitors with the Application of Kinematic Sensors. Applied Sciences. 12(16). 8048–8048. 4 indexed citations
4.
Marković, Stefan, Milivoj Dopsaj, Sašo Tomažič, et al.. (2021). Can IMU Provide an Accurate Vertical Jump Height Estimate?. Applied Sciences. 11(24). 12025–12025. 15 indexed citations
5.
Marković, Stefan, et al.. (2021). RELIABILITY OF A SIMPLE NOVEL FIELD TEST FOR THE MEASUREMENT OF PLANTAR FLEXOR MUSCLE STRENGTH. Revista Brasileira de Medicina do Esporte. 27(1). 98–102. 4 indexed citations
6.
7.
Marković, Stefan, et al.. (2021). Use of IMU in Differential Analysis of the Reverse Punch Temporal Structure in Relation to the Achieved Maximal Hand Velocity. Sensors. 21(12). 4148–4148. 8 indexed citations
8.
9.
Marković, Stefan, Milivoj Dopsaj, & Veljko Veljković. (2020). Reliability of Sports Medical Solutions Handgrip and Jamar Handgrip Dynamometer. Measurement Science Review. 20(2). 59–64. 7 indexed citations
10.
Marković, Stefan, Milivoj Dopsaj, Sašo Tomažič, & Anton Umek. (2020). Potential of IMU-Based Systems in Measuring Single Rapid Movement Variables in Females with Different Training Backgrounds and Specialization. Applied Bionics and Biomechanics. 2020. 1–7. 11 indexed citations
11.
Marković, Stefan, et al.. (2020). The relationship of pistol movement measured by a kinematic sensor, shooting performance and handgrip strength. International Journal of Performance Analysis in Sport. 20(6). 1107–1119. 5 indexed citations
12.
Hadas, Ron, et al.. (2020). Diffusion and perfusion MRI of normal, preeclamptic and growth-restricted mice models reveal clear fetoplacental differences. Scientific Reports. 10(1). 16380–16380. 5 indexed citations
13.
Kos, Anton, Milivoj Dopsaj, Stefan Marković, & Anton Umek. (2019). Augmented Real-time Biofeedback Application for Precision Shooting Practice Support. International Conference on Information Society. 107–110.
14.
Marković, Stefan, et al.. (2019). Differences between simple and choice reaction time among young karate athletes in relation to gender and level of training. Jakov (University of Criminalistic and Police Studies, Belgrade, Serbia). 73(2). 238–248. 1 indexed citations
15.
Brubaker, William D., et al.. (2013). Preferential and Specific Binding of Human αB-Crystallin to a Cataract-Related Variant of γS-Crystallin. Structure. 21(12). 2221–2227. 46 indexed citations
16.
Marković, Stefan, et al.. (2012). Assignment and secondary structure of the YadA membrane protein by solid-state MAS NMR. Scientific Reports. 2(1). 803–803. 25 indexed citations
17.
Linser, Rasmus, Muralidhar Dasari, Matthias Hiller, et al.. (2011). Proton‐Detected Solid‐State NMR Spectroscopy of Fibrillar and Membrane Proteins. Angewandte Chemie International Edition. 50(19). 4508–4512. 164 indexed citations
18.
Jehle, Stefan, Ponni Rajagopal, Benjamin Bardiaux, et al.. (2010). Solid-state NMR and SAXS studies provide a structural basis for the activation of αB-crystallin oligomers. Nature Structural & Molecular Biology. 17(9). 1037–1042. 234 indexed citations
19.
Higman, Victoria Ann, Jeremy Flinders, Matthias Hiller, et al.. (2009). Assigning large proteins in the solid state: a MAS NMR resonance assignment strategy using selectively and extensively 13C-labelled proteins. Journal of Biomolecular NMR. 44(4). 245–260. 96 indexed citations
20.

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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