Ondřej Ťupa
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Neurology
- Physical Therapy, Sports Therapy and Rehabilitation top 5%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Aleš ProcházkaOldřich VyšataMartin SchätzMartin VališVladimı́r Mařı́kPavel CejnarSaeed V. VaseghiMartin Převorovský
- Topics
- Gait Recognition and Analysis (7 papers)Context-Aware Activity Recognition Systems (5 papers)Hand Gesture Recognition Systems (4 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationHuman-Computer InteractionComputer Vision and Pattern Recognition
- Journals
- NeurologySensorsApplied Sciences
In The Last Decade
Ondřej Ťupa
18 papers receiving 351 citations
Peers
Comparison fields: 5 of 74
- Biomedical Engineering 193
- Computer Vision and Pattern Recognition 103
- Neurology 62
- Physical Therapy, Sports Therapy and Rehabilitation 60
- Endocrinology, Diabetes and Metabolism 45
Countries citing papers authored by Ondřej Ťupa
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 24 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 84 | |
| 12 | 90 | |
| 13 | Gait Analysis Using MS Kinect Placed on the Mobile Robotic Platform | 4 |
| 14 | 14 | |
| 15 | 35 | |
| 16 | 26 | |
| 17 | 23 | |
| 18 | 11 |
About Ondřej Ťupa
Ondřej Ťupa is a scholar working on Human-Computer Interaction, Physical Therapy, Sports Therapy and Rehabilitation and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 358 indexed citations. Recurring topics across this work include Gait Recognition and Analysis (7 papers), Context-Aware Activity Recognition Systems (5 papers) and Hand Gesture Recognition Systems (4 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (60 citations), Human-Computer Interaction (34 citations) and Computer Vision and Pattern Recognition (103 citations). Ondřej Ťupa has collaborated with scholars based in Czechia, Croatia and India. Frequent co-authors include Aleš Procházka, Oldřich Vyšata, Martin Schätz, Martin Vališ, Vladimı́r Mařı́k, Pavel Cejnar, Saeed V. Vaseghi, Martin Převorovský, Hana Charvátová and Oana Geman. Their work appears in journals such as Neurology, Sensors and Applied Sciences.
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.