Mario Cifrek

2.6k total citations · 2 hit papers
92 papers, 1.6k citations indexed

About

Mario Cifrek is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Mario Cifrek has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Biomedical Engineering, 16 papers in Cognitive Neuroscience and 13 papers in Physiology. Recurrent topics in Mario Cifrek's work include Muscle activation and electromyography studies (23 papers), Wireless Body Area Networks (19 papers) and EEG and Brain-Computer Interfaces (15 papers). Mario Cifrek is often cited by papers focused on Muscle activation and electromyography studies (23 papers), Wireless Body Area Networks (19 papers) and EEG and Brain-Computer Interfaces (15 papers). Mario Cifrek collaborates with scholars based in Croatia, China and Macao. Mario Cifrek's co-authors include Vladimir Medved, Stanko Tonković, Željka Lučev Vasić, Alan Jović, Igor Stančin, Igor Krois, Tomislav Pribanić, Hrvoje Džapo, David Abram and Almir Badnjević and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Biomechanics.

In The Last Decade

Mario Cifrek

82 papers receiving 1.5k citations

Hit Papers

Surface EMG based muscle fatigue evaluation in biomechanics 2009 2026 2014 2020 2009 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Cifrek Croatia 15 903 357 181 159 148 92 1.6k
Maurizio Schmid Italy 28 1.1k 1.2× 477 1.3× 274 1.5× 173 1.1× 205 1.4× 161 2.4k
Marko Munih Slovenia 31 1.8k 2.0× 649 1.8× 162 0.9× 175 1.1× 144 1.0× 183 3.3k
Jacques Duchêne France 23 840 0.9× 358 1.0× 247 1.4× 176 1.1× 95 0.6× 94 2.1k
Tommaso D’Alessio Italy 25 989 1.1× 548 1.5× 242 1.3× 60 0.4× 75 0.5× 88 1.8k
Antonio Fratini Italy 19 496 0.5× 294 0.8× 190 1.0× 91 0.6× 83 0.6× 52 1.1k
Silvia Conforto Italy 33 1.7k 1.9× 820 2.3× 341 1.9× 260 1.6× 238 1.6× 206 3.2k
Peter B. Shull China 26 1.4k 1.6× 607 1.7× 211 1.2× 63 0.4× 141 1.0× 105 2.3k
Giuseppe Vannozzi Italy 26 992 1.1× 277 0.8× 617 3.4× 121 0.8× 117 0.8× 98 2.7k
Eduardo Palermo Italy 23 1.0k 1.1× 247 0.7× 174 1.0× 101 0.6× 130 0.9× 89 1.8k
Kenneth Sundaraj Malaysia 23 833 0.9× 713 2.0× 171 0.9× 348 2.2× 77 0.5× 166 2.7k

Countries citing papers authored by Mario Cifrek

Since Specialization
Citations

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

Fields of papers citing papers by Mario Cifrek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Cifrek

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Cifrek. A scholar is included among the top collaborators of Mario Cifrek 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 Mario Cifrek. Mario Cifrek 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.
Jović, Alan, et al.. (2025). Interpretability and accuracy of machine learning algorithms for biomedical time series analysis – a scoping review. Biomedical Signal Processing and Control. 110. 108153–108153. 2 indexed citations
2.
Virag, Davor, Jan Homolak, Ivan Kodvanj, et al.. (2025). My friend MIROSLAV: A hackable open-source hardware and software platform for high-throughput monitoring of rodent activity in the home cage. Behavior Research Methods. 57(7). 198–198.
3.
Chen, Zhizhang, Željka Lučev Vasić, Mario Cifrek, et al.. (2024). Advancements and Challenges in Electrical Impedance Myography (EIM): A Comprehensive Overview of Technology Development, Applications in Sports Health, and Future Directions. SHILAP Revista de lepidopterología. 4(4). 605–625. 3 indexed citations
4.
Jović, Alan, et al.. (2024). Impact of EEG Signal Preprocessing Methods on Machine Learning Models for Affective Disorders. 1139–1144. 1 indexed citations
5.
Vasić, Željka Lučev, et al.. (2024). Exploring the Physiological Effect of taVNS on Upper Limb Functional Rehabilitation. IEEE Sensors Journal. 24(7). 10691–10699.
6.
Vasić, Željka Lučev, et al.. (2023). Beyond neuromuscular activity: botulinum toxin type A exerts direct central action on spinal control of movement. European Journal of Pharmacology. 962. 176242–176242. 4 indexed citations
7.
Vasić, Željka Lučev, et al.. (2023). A Study of Handgrip Force Prediction Scheme Based on Electrical Impedance Myography. IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology. 7(1). 90–98. 3 indexed citations
8.
Li, Xu, et al.. (2022). Dynamics Combined With Hill Model for Functional Electrical Stimulation Ankle Angle Prediction. IEEE Journal of Biomedical and Health Informatics. 27(5). 2186–2196. 5 indexed citations
9.
Vasić, Željka Lučev, et al.. (2019). A Contactless Human Respiration Rate Measurement Using UWB Transversal Propagation Method. International Symposium on Antennas and Propagation. 2 indexed citations
10.
Gao, Yueming, Lin Shi, Željka Lučev Vasić, et al.. (2018). Electrical exposure analysis of galvanic-coupled intra-body communication based on the empirical arm models. BioMedical Engineering OnLine. 17(1). 71–71. 14 indexed citations
11.
Gao, Yueming, Yanting Ye, Lin Shi, et al.. (2017). Investigation of implantable signal transmission characteristics based on visible data of the human leg. BioMedical Engineering OnLine. 16(1). 88–88. 10 indexed citations
12.
Cifrek, Mario, et al.. (2013). A P300-based brain-computer interface: Towards a simpler approach. International Convention on Information and Communication Technology, Electronics and Microelectronics. 1049–1052. 1 indexed citations
13.
Badnjević, Almir, et al.. (2013). Integrated software suite for diagnosis of respiratory diseases. 564–568. 18 indexed citations
14.
Abram, David, et al.. (2012). A brief introduction to OpenCV. International Convention on Information and Communication Technology, Electronics and Microelectronics. 1725–1730. 176 indexed citations
15.
Skorić, Magdalena Krbot, et al.. (2011). Somatosensory Vibratory Evoked Potentials: Stimulation Parameters. 52(1). 31–38. 1 indexed citations
16.
Cifrek, Mario, et al.. (2009). Surface EMG based muscle fatigue evaluation in biomechanics. Clinical Biomechanics. 24(4). 327–340. 644 indexed citations breakdown →
17.
Kasović, Mario, et al.. (2009). Differences in muscle activity one year after ACL reconstruction. 2. 76.
18.
Pribanić, Tomislav, Mario Cifrek, & Stanislav Peharec. (2006). Simplified Light Plane Determination during Structured Light Scanning. University of Zagreb University Computing Centre (SRCE). 47. 141–147. 1 indexed citations
19.
Pribanić, Tomislav, Mario Cifrek, & Stanislav Peharec. (2004). 3D shape recovery with no explicit video projector calibration. Digital Library (University of West Bohemia). 137–140. 1 indexed citations
20.
Cifrek, Mario, et al.. (2003). Characteristics and Application of the Fingerprint Recognition System. Measurement Science Review. 3. 5–8. 3 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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