Štěpán Obdržálek
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Human-Computer Interaction top 5%
- Co-authors
- Jiřı́ MatasManolis LourakisXenophon ZabulisTomáš HodaňGregorij KurilloRůžena BajcsyMisha PavelHolly Jimison
- Topics
- Advanced Image and Video Retrieval Techniques (6 papers)Robotics and Sensor-Based Localization (6 papers)Advanced Vision and Imaging (4 papers)
- Journals
- Computer Vision and Image UnderstandingIEEE Journal of Biomedical and Health InformaticsStudies in health technology and informatics
- Partner nations
- CzechiaUnited StatesGreece
In The Last Decade
Štěpán Obdržálek
14 papers receiving 935 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 647
- Aerospace Engineering 348
- Control and Systems Engineering 266
- Biomedical Engineering 139
- Human-Computer Interaction 131
Countries citing papers authored by Štěpán Obdržálek
This map shows the geographic impact of Štěpán Obdržálek'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 Štěpán Obdržálek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Štěpán Obdržálek more than expected).
Fields of papers citing papers by Štěpán Obdržálek
This network shows the impact of papers produced by Štěpán Obdržálek. 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 Štěpán Obdržálek. The network helps show where Štěpán Obdržálek may publish in the future.
Co-authorship network of co-authors of Štěpán Obdržálek
This figure shows the co-authorship network connecting the top 25 collaborators of Štěpán Obdržálek. A scholar is included among the top collaborators of Štěpán Obdržálek 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 Štěpán Obdržálek. Štěpán Obdržálek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objectsbreakdown → | 285 |
| 2 | 67 | |
| 3 | 85 | |
| 4 | Architecture of an automated coaching system for elderly population. | 5 |
| 5 | 31 | |
| 6 | 234 | |
| 7 | 21 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 16 | |
| 12 | 63 | |
| 13 | 27 | |
| 14 | 129 |
About Štěpán Obdržálek
Štěpán Obdržálek is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Rehabilitation, having authored 14 papers that have together received 986 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (647 citations), Human-Computer Interaction (131 citations) and Rehabilitation (103 citations). Štěpán Obdržálek has collaborated with scholars based in Czechia, United States and Greece. Frequent co-authors include Jiřı́ Matas, Manolis Lourakis, Xenophon Zabulis, Tomáš Hodaň, Gregorij Kurillo, Růžena Bajcsy, Misha Pavel, Holly Jimison, Ferda Ofli and Edmund Seto. Their work appears in journals such as Computer Vision and Image Understanding, IEEE Journal of Biomedical and Health Informatics and Studies in health technology and informatics.
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.