Radim Krupička

723 total citations
46 papers, 421 citations indexed

About

Radim Krupička is a scholar working on Neurology, Physical Therapy, Sports Therapy and Rehabilitation and Biomedical Engineering. According to data from OpenAlex, Radim Krupička has authored 46 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Neurology, 12 papers in Physical Therapy, Sports Therapy and Rehabilitation and 12 papers in Biomedical Engineering. Recurrent topics in Radim Krupička's work include Parkinson's Disease Mechanisms and Treatments (20 papers), Neurological disorders and treatments (17 papers) and Balance, Gait, and Falls Prevention (12 papers). Radim Krupička is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (20 papers), Neurological disorders and treatments (17 papers) and Balance, Gait, and Falls Prevention (12 papers). Radim Krupička collaborates with scholars based in Czechia, Germany and Sweden. Radim Krupička's co-authors include Slávka Vítečková, Zoltán Szabó, Evžen Růžička, Patrik Kutílek, Zdeněk Svoboda, Ondřej Klempíř, Robert Jech, Jan Rusz, Petr Dušek and Kateřina Zárubová and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Biomechanics and Sensors.

In The Last Decade

Radim Krupička

43 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Radim Krupička Czechia 11 164 149 104 66 65 46 421
Nicholas Shawen United States 9 131 0.8× 216 1.4× 68 0.7× 30 0.5× 59 0.9× 12 470
Don Yungher United States 10 120 0.7× 185 1.2× 167 1.6× 71 1.1× 50 0.8× 13 438
Corrado Azzaro Italy 12 368 2.2× 119 0.8× 106 1.0× 44 0.7× 39 0.6× 20 578
Susanna Summa Italy 13 175 1.1× 111 0.7× 59 0.6× 90 1.4× 42 0.6× 28 455
Stefano Filippo Castiglia Italy 13 158 1.0× 124 0.8× 149 1.4× 130 2.0× 29 0.4× 34 471
Rana Zia Ur Rehman United Kingdom 10 162 1.0× 203 1.4× 274 2.6× 140 2.1× 47 0.7× 18 503
Panagiota Bougia Greece 6 252 1.5× 193 1.3× 94 0.9× 31 0.5× 58 0.9× 6 437
Irene Di Giulio United Kingdom 10 68 0.4× 144 1.0× 189 1.8× 83 1.3× 68 1.0× 24 442
Karen Otte Germany 12 80 0.5× 122 0.8× 172 1.7× 132 2.0× 31 0.5× 23 528
Gabriele Bovi Italy 12 80 0.5× 324 2.2× 145 1.4× 117 1.8× 25 0.4× 16 592

Countries citing papers authored by Radim Krupička

Since Specialization
Citations

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

Fields of papers citing papers by Radim Krupička

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radim Krupička

This figure shows the co-authorship network connecting the top 25 collaborators of Radim Krupička. A scholar is included among the top collaborators of Radim Krupička 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 Radim Krupička. Radim Krupička 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
2.
Klempíř, Ondřej, et al.. (2025). Ranking pre-trained speech embeddings in Parkinson's disease detection: Does Wav2Vec 2.0 outperform its 1.0 version across speech modes and languages?. Computational and Structural Biotechnology Journal. 27. 2584–2601. 1 indexed citations
3.
Krupička, Radim, Petr Sojka, Jiří Nepožitek, et al.. (2024). Analysis of striatal connectivity corresponding to striosomes and matrix in de novo Parkinson’s disease and isolated REM behavior disorder. npj Parkinson s Disease. 10(1). 124–124. 1 indexed citations
4.
Klempíř, Ondřej & Radim Krupička. (2024). Analyzing Wav2Vec 1.0 Embeddings for Cross-Database Parkinson’s Disease Detection and Speech Features Extraction. Sensors. 24(17). 5520–5520. 4 indexed citations
5.
Krupička, Radim, et al.. (2024). Impaired dual-task gait in Parkinson’s disease is associated with brain morphology changes. Journal of Neural Transmission. 131(12). 1389–1395. 3 indexed citations
6.
Krupička, Radim, et al.. (2024). Assessing Speech Intelligibility and Severity Level in Parkinson's Disease Using Wav2Vec 2.0. 231–234. 3 indexed citations
7.
Nepožitek, Jiří, Simona Dostálová, Evžen Růžička, et al.. (2023). Cortical and subcortical morphometric changes and their relation to cognitive impairment in isolated REM sleep behavior disorder. Neurological Sciences. 45(2). 613–627. 5 indexed citations
8.
Klempíř, Ondřej, David Příhoda, & Radim Krupička. (2023). Evaluating the Performance of wav2vec Embedding for Parkinson's Disease Detection. Measurement Science Review. 23(6). 260–267. 12 indexed citations
9.
Kutílek, Patrik, et al.. (2022). Lower Limb Exoskeleton Sensors: State-of-the-Art. Sensors. 22(23). 9091–9091. 20 indexed citations
10.
Krupička, Radim, Ondřej Klempíř, Zoltán Szabó, et al.. (2020). Instrumental analysis of finger tapping reveals a novel early biomarker of parkinsonism in idiopathic rapid eye movement sleep behaviour disorder. Sleep Medicine. 75. 45–49. 17 indexed citations
12.
Vítečková, Slávka, Petr Dušek, Radim Krupička, et al.. (2019). Extended Timed Up & Go test: Is walking forward and returning back to the chair equivalent gait?. Journal of Biomechanics. 89. 110–114. 6 indexed citations
13.
Vítečková, Slávka, et al.. (2019). Gait symmetry methods: Comparison of waveform-based Methods and recommendation for use. Biomedical Signal Processing and Control. 55. 101643–101643. 4 indexed citations
15.
Vítečková, Slávka, Ondřej Klempíř, Petr Dušek, et al.. (2019). Statistical analysis of the 180 degree walking turn: Common patterns, repeatability and prediction bands of turn signals. Biomedical Signal Processing and Control. 56. 101689–101689. 2 indexed citations
16.
Klempíř, Ondřej, Radim Krupička, Eduard Bakštein, & Robert Jech. (2019). Identification of Microrecording Artifacts with Wavelet Analysis and Convolutional Neural Network: An Image Recognition Approach. Measurement Science Review. 19(5). 222–231. 8 indexed citations
17.
Klempíř, Ondřej, Radim Krupička, Jan Mehnert, et al.. (2019). Reshaping cortical activity with subthalamic stimulation in Parkinson's disease during finger tapping and gait mapped by near infrared spectroscopy. Journal of Applied Biomedicine. 17(3). 157–166. 5 indexed citations
18.
Vítečková, Slávka, et al.. (2016). Evaluation of movement of patients with Parkinson's disease using accelerometers and method based on eigenvectors. 3 indexed citations
19.
Rusz, Jan, Tereza Tykalová, Radim Krupička, et al.. (2016). Comparative analysis of speech impairment and upper limb motor dysfunction in Parkinson’s disease. Journal of Neural Transmission. 124(4). 463–470. 19 indexed citations
20.
Krupička, Radim, et al.. (2014). Motion Capture System for Finger Movement Measurement in Parkinson Disease. SHILAP Revista de lepidopterología. 14 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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