Jan Rusz

5.3k total citations
119 papers, 3.2k citations indexed

About

Jan Rusz is a scholar working on Physiology, Neurology and Speech and Hearing. According to data from OpenAlex, Jan Rusz has authored 119 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Physiology, 57 papers in Neurology and 29 papers in Speech and Hearing. Recurrent topics in Jan Rusz's work include Voice and Speech Disorders (81 papers), Parkinson's Disease Mechanisms and Treatments (47 papers) and Neurological disorders and treatments (38 papers). Jan Rusz is often cited by papers focused on Voice and Speech Disorders (81 papers), Parkinson's Disease Mechanisms and Treatments (47 papers) and Neurological disorders and treatments (38 papers). Jan Rusz collaborates with scholars based in Czechia, Switzerland and Germany. Jan Rusz's co-authors include Evžen Růžička, Roman Čmejla, Tereza Tykalová, Michal Novotný, Jiří Klempíř, Jan Hlavnička, Karel Šonka, Hana Růžičková, Petr Dušek and Elmar Nöth and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Jan Rusz

113 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Rusz Czechia 30 2.2k 997 820 733 616 119 3.2k
Tereza Tykalová Czechia 21 1.1k 0.5× 524 0.5× 466 0.6× 233 0.3× 301 0.5× 58 1.6k
Jennifer Spielman United States 15 1.8k 0.8× 575 0.6× 658 0.8× 762 1.0× 515 0.8× 23 2.4k
Julie Liss United States 30 1.2k 0.6× 245 0.2× 514 0.6× 729 1.0× 1.2k 2.0× 135 2.8k
Roman Čmejla Czechia 17 1.0k 0.5× 351 0.4× 387 0.5× 345 0.5× 347 0.6× 48 1.6k
Aileen K. Ho United Kingdom 21 854 0.4× 978 1.0× 286 0.3× 155 0.2× 293 0.5× 57 2.6k
Juan Rafael Orozco‐Arroyave Colombia 29 1.7k 0.8× 560 0.6× 358 0.4× 1.2k 1.7× 530 0.9× 154 2.8k
Karel Šonka Czechia 33 671 0.3× 649 0.7× 159 0.2× 67 0.1× 1.6k 2.6× 186 3.3k
Zdeněk Smékal Czechia 19 600 0.3× 528 0.5× 96 0.1× 278 0.4× 131 0.2× 68 1.5k
Hanjun Liu China 26 460 0.2× 118 0.1× 78 0.1× 233 0.3× 890 1.4× 110 2.2k
Doris‐Eva Bamiou United Kingdom 34 146 0.1× 185 0.2× 795 1.0× 22 0.0× 471 0.8× 173 4.3k

Countries citing papers authored by Jan Rusz

Since Specialization
Citations

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

Fields of papers citing papers by Jan Rusz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Rusz

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Rusz. A scholar is included among the top collaborators of Jan Rusz 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 Jan Rusz. Jan Rusz 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.
Leavitt, Victoria M., Leila Simani, Afshin Borhani‐Haghighi, et al.. (2025). Language dysfunction as a primary feature of cognitive decline in neurological populations. Journal of Neural Transmission. 133(3). 397–407.
2.
Rusz, Jan, et al.. (2024). Automatic speech-based assessment to discriminate Parkinson’s disease from essential tremor with a cross-language approach. npj Digital Medicine. 7(1). 37–37. 10 indexed citations
3.
Rusz, Jan, Paul Krack, & Elina Tripoliti. (2024). From prodromal stages to clinical trials: The promise of digital speech biomarkers in Parkinson's disease. Neuroscience & Biobehavioral Reviews. 167. 105922–105922. 15 indexed citations
4.
Novotný, Michal, Tereza Tykalová, Pavel Sovka, et al.. (2024). Smartphone Voice Calls Provide Early Biomarkers of Parkinsonism in Rapid Eye Movement Sleep Behavior Disorder. Movement Disorders. 39(10). 1752–1762. 11 indexed citations
5.
6.
Rusz, Jan, et al.. (2023). Acute stimulation with symmetric biphasic pulses induces less ataxia compared to cathodic pulses in DBS for essential tremor. Parkinsonism & Related Disorders. 111. 105435–105435. 1 indexed citations
7.
Rusz, Jan, et al.. (2023). Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors. 2368–2372. 2 indexed citations
8.
Tykalová, Tereza, et al.. (2023). Speech biomarkers in Huntington's disease: A cross‐sectional study in pre‐symptomatic, prodromal and early manifest stages. European Journal of Neurology. 30(5). 1262–1271. 13 indexed citations
9.
Vásquez-Correa, Juan Camilo, Tomás Arias‐Vergara, Maria Schuster, et al.. (2021). Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages. Pattern Recognition Letters. 150. 272–279. 22 indexed citations
10.
Dušek, Petr, et al.. (2020). Eye movement abnormalities are associated with brainstem atrophy in Wilson disease. Neurological Sciences. 41(5). 1097–1103. 4 indexed citations
11.
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.
Tykalová, Tereza, et al.. (2020). Effect of Ageing on Acoustic Characteristics of Voice Pitch and Formants in Czech Vowels. Journal of Voice. 35(6). 931.e21–931.e33. 12 indexed citations
13.
Tykalová, Tereza, et al.. (2020). Dysarthria enhancement mechanism under external clear speech instruction in Parkinson's disease, progressive supranuclear palsy and multiple system atrophy. Journal of Neural Transmission. 127(6). 905–914. 7 indexed citations
14.
Rusz, Jan, Ondřej Bezdíček, Olga Ulmanová, et al.. (2018). Eye movements in idiopathic rapid eye movement sleep behaviour disorder: High antisaccade error rate reflects prefrontal cortex dysfunction. Journal of Sleep Research. 28(5). e12742–e12742. 23 indexed citations
15.
Hlavnička, Jan, Roman Čmejla, Tereza Tykalová, et al.. (2017). Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder. Scientific Reports. 7(1). 12–12. 251 indexed citations
16.
Tykalová, Tereza, Jan Rusz, Jiří Klempíř, Roman Čmejla, & Evžen Růžička. (2016). Distinct patterns of imprecise consonant articulation among Parkinson’s disease, progressive supranuclear palsy and multiple system atrophy. Brain and Language. 165. 1–9. 52 indexed citations
17.
Rusz, Jan, Jan Hlavnička, Tereza Tykalová, et al.. (2015). Quantitative assessment of motor speech abnormalities in idiopathic rapid eye movement sleep behaviour disorder. Sleep Medicine. 19. 141–147. 56 indexed citations
18.
Bonnet, Cécilia, Jan Rusz, Tomáš Sieger, et al.. (2015). Fast vergence eye movements are disrupted in Parkinson's disease: A video-oculography study. Parkinsonism & Related Disorders. 21(7). 797–799. 28 indexed citations
19.
Rusz, Jan, Roman Čmejla, Hana Růžičková, et al.. (2011). Acoustic analysis of voice and speech characteristics in early untreated Parkinson's disease.. 181–184. 10 indexed citations
20.
Rusz, Jan, Roman Čmejla, Hana Růžičková, & Evžen Růžička. (2011). Objectification of dysarthria in Parkinson's disease using Bayes theorem. 165–169. 6 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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