Ondřej Ťupa

479 total citations
18 papers, 358 citations indexed

About

Ondřej Ťupa is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Ondřej Ťupa has authored 18 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Human-Computer Interaction. Recurrent topics in Ondřej Ťupa's work include Gait Recognition and Analysis (7 papers), Context-Aware Activity Recognition Systems (5 papers) and Hand Gesture Recognition Systems (4 papers). Ondřej Ťupa is often cited by papers focused on Gait Recognition and Analysis (7 papers), Context-Aware Activity Recognition Systems (5 papers) and Hand Gesture Recognition Systems (4 papers). Ondřej Ťupa collaborates with scholars based in Czechia, Norway and India. Ondřej Ťupa's co-authors include Oldřich Vyšata, Aleš Procházka, Martin Vališ, Martin Schätz, Vladimı́r Mařı́k, Saeed V. Vaseghi, Pavel Cejnar, Martin Převorovský, Hana Charvátová and Oana Geman and has published in prestigious journals such as Neurology, Sensors and Applied Sciences.

In The Last Decade

Ondřej Ťupa

18 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ondřej Ťupa Czechia	9	193	103	62	60	45	18	358
Martin Schätz Czechia	13	249 1.3×	106 1.0×	63 1.0×	55 0.9×	41 0.9×	28	531
D.M. Sherrill United States	10	377 2.0×	86 0.8×	85 1.4×	85 1.4×	32 0.7×	15	585
Filippo Casamassima Italy	7	308 1.6×	63 0.6×	46 0.7×	97 1.6×	47 1.0×	15	459
Dominik Schuldhaus Germany	10	283 1.5×	263 2.6×	44 0.7×	121 2.0×	51 1.1×	20	579
Fabien Massé Switzerland	11	197 1.0×	75 0.7×	20 0.3×	92 1.5×	30 0.7×	21	423
Michael Hardegger Switzerland	12	364 1.9×	168 1.6×	105 1.7×	198 3.3×	77 1.7×	14	670
T Togawa Japan	8	186 1.0×	136 1.3×	20 0.3×	62 1.0×	17 0.4×	15	347
Jan Stenum United States	9	204 1.1×	100 1.0×	21 0.3×	146 2.4×	92 2.0×	17	416
Martin Ullrich Germany	11	130 0.7×	41 0.4×	43 0.7×	117 1.9×	46 1.0×	23	299
Anup Nandy India	11	186 1.0×	128 1.2×	19 0.3×	42 0.7×	51 1.1×	44	338

Countries citing papers authored by Ondřej Ťupa

Since Specialization

Citations

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

Fields of papers citing papers by Ondřej Ťupa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ondřej Ťupa

This figure shows the co-authorship network connecting the top 25 collaborators of Ondřej Ťupa. A scholar is included among the top collaborators of Ondřej Ťupa 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 Ondřej Ťupa. Ondřej Ťupa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Vyšata, Oldřich, Ondřej Ťupa, Aleš Procházka, et al.. (2021). Classification of Ataxic Gait. Sensors. 21(16). 5576–5576. 7 indexed citations

Ťupa, Ondřej, et al.. (2020). The Best Motion Sensor Localization For Ataxic Gait Assessment (1924). Neurology. 94(15_supplement). 3 indexed citations

Procházka, Aleš, et al.. (2020). Recognition of motion patterns using accelerometers for ataxic gait assessment. Neural Computing and Applications. 33(7). 2207–2215. 24 indexed citations

Schätz, Martin, et al.. (2019). Analysis of Lipid Droplet Content in Fission and Budding Yeasts using Automated Image Processing. Journal of Visualized Experiments. 4 indexed citations

Schätz, Martin, et al.. (2019). Analysis of Lipid Droplet Content in Fission and Budding Yeasts using Automated Image Processing. Journal of Visualized Experiments. 2 indexed citations

Schätz, Martin, et al.. (2018). Mitotic defects in fission yeast lipid metabolism ‘cut’ mutants are suppressed by ammonium chloride. FEMS Yeast Research. 18(6). 8 indexed citations

Procházka, Aleš, Saeed V. Vaseghi, Hana Charvátová, Ondřej Ťupa, & Oldřich Vyšata. (2017). Cycling Segments Multimodal Analysis and Classification Using Neural Networks. Applied Sciences. 7(6). 581–581. 16 indexed citations

Ťupa, Ondřej, et al.. (2016). Kinect V2 as a tool for stroke recovery: Pilot study of motion scale monitoring. 16. 1–5. 2 indexed citations

Schätz, Martin, et al.. (2016). Face movement analysis with MS Kinect. 1–5. 4 indexed citations

10.

Ťupa, Ondřej, et al.. (2016). Navigation of robotic platform for gait disorders monitoring. 57–60. 1 indexed citations

11.

Ťupa, Ondřej, Aleš Procházka, Oldřich Vyšata, et al.. (2015). Motion tracking and gait feature estimation for recognising Parkinson’s disease using MS Kinect. BioMedical Engineering OnLine. 14(1). 97–97. 84 indexed citations

12.

Procházka, Aleš, Oldřich Vyšata, Martin Vališ, et al.. (2015). Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect. Digital Signal Processing. 47. 169–177. 90 indexed citations

13.

Procházka, Aleš, Oldřich Vyšata, Martin Vališ, et al.. (2015). Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders. Neural Computing and Applications. 26(7). 1621–1629. 35 indexed citations

14.

Schätz, Martin, et al.. (2015). Statistical recognition of breathing by MS Kinect depth sensor. 14 indexed citations

15.

Ťupa, Ondřej, et al.. (2015). Gait Analysis Using MS Kinect Placed on the Mobile Robotic Platform. 4 indexed citations

16.

Procházka, Aleš, et al.. (2014). The MS kinect image and depth sensors use for gait features detection. 2271–2274. 26 indexed citations

17.

Procházka, Aleš, et al.. (2014). Discrimination of axonal neuropathy using sensitivity and specificity statistical measures. Neural Computing and Applications. 25(6). 1349–1358. 23 indexed citations

18.

Procházka, Aleš, et al.. (2013). Remote physiological and GPS data processing in evaluation of physical activities. Medical & Biological Engineering & Computing. 52(4). 301–308. 11 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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