Oldřich Vyšata

2.0k total citations
106 papers, 1.5k citations indexed

About

Oldřich Vyšata is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Oldřich Vyšata has authored 106 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 26 papers in Cognitive Neuroscience and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Oldřich Vyšata's work include Non-Invasive Vital Sign Monitoring (22 papers), EEG and Brain-Computer Interfaces (19 papers) and Neural dynamics and brain function (13 papers). Oldřich Vyšata is often cited by papers focused on Non-Invasive Vital Sign Monitoring (22 papers), EEG and Brain-Computer Interfaces (19 papers) and Neural dynamics and brain function (13 papers). Oldřich Vyšata collaborates with scholars based in Czechia, United Kingdom and India. Oldřich Vyšata's co-authors include Aleš Procházka, Martin Vališ, Martin Schätz, Ondřej Ťupa, Jaromír Kukal, Vladimı́r Mařı́k, Hana Charvátová, Ladislav Pazdera, Jakub Kopál and Pavel Cejnar and has published in prestigious journals such as Neurology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Oldřich Vyšata

98 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oldřich Vyšata Czechia 24 520 411 245 209 138 106 1.5k
Aleš Procházka Czechia 24 632 1.2× 355 0.9× 336 1.4× 182 0.9× 81 0.6× 116 1.8k
Adriano de Oliveira Andrade Brazil 23 684 1.3× 656 1.6× 145 0.6× 263 1.3× 364 2.6× 147 2.2k
Manjunatha Mahadevappa India 23 514 1.0× 740 1.8× 433 1.8× 143 0.7× 112 0.8× 134 2.3k
Hsiao‐Lung Chan Taiwan 21 552 1.1× 469 1.1× 148 0.6× 730 3.5× 75 0.5× 82 1.4k
Siti Anom Ahmad Malaysia 23 999 1.9× 1.0k 2.5× 100 0.4× 197 0.9× 77 0.6× 157 2.3k
Damjan Zazula Slovenia 22 1.3k 2.5× 717 1.7× 177 0.7× 156 0.7× 77 0.6× 115 2.0k
Tommaso D’Alessio Italy 25 989 1.9× 548 1.3× 138 0.6× 77 0.4× 85 0.6× 88 1.8k
Luay Fraiwan Jordan 22 291 0.6× 567 1.4× 132 0.5× 206 1.0× 57 0.4× 64 1.7k
Jacques Duchêne France 23 840 1.6× 358 0.9× 177 0.7× 179 0.9× 38 0.3× 94 2.1k
Hui Wen Loh Singapore 17 206 0.4× 485 1.2× 72 0.3× 247 1.2× 101 0.7× 21 1.4k

Countries citing papers authored by Oldřich Vyšata

Since Specialization
Citations

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

Fields of papers citing papers by Oldřich Vyšata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oldřich Vyšata

This figure shows the co-authorship network connecting the top 25 collaborators of Oldřich Vyšata. A scholar is included among the top collaborators of Oldřich Vyšata 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 Oldřich Vyšata. Oldřich Vyšata 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.
2.
Procházka, Aleš, et al.. (2024). Assessing Pediatric Gait Symmetry Through Accelerometry and Computational Intelligence. IEEE Access. 12. 125358–125368. 2 indexed citations
3.
Herzig, Roman, Robert Mikulík, Silvie Bělašková, et al.. (2024). Intravenous Thrombolysis in Posterior versus Anterior Circulation Stroke: Clinical Outcome Differs Only in Patients with Large Vessel Occlusion. Biomedicines. 12(2). 404–404.
4.
Procházka, Aleš, et al.. (2024). Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment. Sensors. 24(22). 7330–7330. 2 indexed citations
5.
Procházka, Aleš, et al.. (2023). Motion Analysis Using Global Navigation Satellite System and Physiological Data. IEEE Access. 11. 42096–42103. 1 indexed citations
6.
Charvátová, Hana, et al.. (2022). Blood Oxygen Concentration and Physiological Data Changes During Motion While Wearing Face Masks. IEEE Access. 10. 91763–91770. 2 indexed citations
7.
Procházka, Aleš, et al.. (2022). Computational Intelligence in Metric Analysis of the Skull in the Context of Maxillofacial Surgery. IEEE Access. 10. 122447–122453.
8.
Procházka, Aleš, Hana Charvátová, & Oldřich Vyšata. (2022). The Effect of Face Masks on Physiological Data and the Classification of Rehabilitation Walking. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 2467–2473. 3 indexed citations
9.
Procházka, Aleš, et al.. (2021). Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 360–367. 23 indexed citations
10.
Vyšata, Oldřich, Ondřej Ťupa, Aleš Procházka, et al.. (2021). Classification of Ataxic Gait. Sensors. 21(16). 5576–5576. 7 indexed citations
11.
Charvátová, Hana, et al.. (2021). Evaluation of Accelerometric and Cycling Cadence Data for Motion Monitoring. IEEE Access. 9. 129256–129263. 9 indexed citations
12.
Charvátová, Hana, Aleš Procházka, & Oldřich Vyšata. (2020). Motion Assessment for Accelerometric and Heart Rate Cycling Data Analysis. Sensors. 20(5). 1523–1523. 7 indexed citations
13.
Krajíčková, Dagmar, J Král, Roman Herzig, et al.. (2020). Factors influencing therapy choice and clinical outcome in cerebral venous sinus thrombosis. Scientific Reports. 10(1). 21633–21633. 3 indexed citations
14.
Procházka, Aleš, Oldřich Vyšata, Hana Charvátová, & Martin Vališ. (2019). Motion Symmetry Evaluation Using Accelerometers and Energy Distribution. Symmetry. 11(7). 871–871. 14 indexed citations
15.
Procházka, Aleš, Taťjana Dostálová, Oldřich Vyšata, et al.. (2019). Augmented Reality Implementations in Stomatology. Applied Sciences. 9(14). 2929–2929. 9 indexed citations
16.
Vališ, Martin, et al.. (2018). Monitoring of Lymphocyte Populations During Treatment with Interferon-β-1b to Predict Multiple Sclerosis Disability Progression. Journal of Interferon & Cytokine Research. 39(3). 164–173.
17.
Procházka, Aleš, Hana Charvátová, Saeed V. Vaseghi, & Oldřich Vyšata. (2018). Machine Learning in Rehabilitation Assessment for Thermal and Heart Rate Data Processing. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(6). 1209–1214. 25 indexed citations
18.
Kopál, Jakub, Oldřich Vyšata, Ján Burian, et al.. (2014). Complex continuous wavelet coherence for EEG microstates detection in insight and calm meditation. Consciousness and Cognition. 30. 13–23. 17 indexed citations
19.
Procházka, Aleš, et al.. (2011). Wavelet transform in biomedical image segmentation and classification. 519–522. 2 indexed citations
20.
Procházka, Aleš, Jaromír Kukal, & Oldřich Vyšata. (2008). Wavelet Transform Use for Feature Extraction and EEG Signal Segments Classification. 719–722. 55 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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