Michal Jančošek
- Computer Vision and Pattern Recognition top 2%
- Geology top 2%
- Aerospace Engineering top 5%
- Environmental Engineering top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Tomáš PajdlaJan SmíšekSander Oude ElberinkGeorge VosselmanBiao XiongAlexander ShekhovtsovAkihiko ToriiMichal Havlena
- Topics
- 3D Surveying and Cultural Heritage (6 papers)Advanced Vision and Imaging (5 papers)Robotics and Sensor-Based Localization (5 papers)
- Journals
- ISPRS Journal of Photogrammetry and Remote SensingInternational Scholarly Research Notices2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
- Partner nations
- CzechiaSwitzerlandNetherlands
In The Last Decade
Michal Jančošek
9 papers receiving 646 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 415
- Geology 282
- Aerospace Engineering 263
- Environmental Engineering 191
- Computer Graphics and Computer-Aided Design 85
Countries citing papers authored by Michal Jančošek
This map shows the geographic impact of Michal Jančošek'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 Michal Jančošek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Jančošek more than expected).
Fields of papers citing papers by Michal Jančošek
This network shows the impact of papers produced by Michal Jančošek. 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 Michal Jančošek. The network helps show where Michal Jančošek may publish in the future.
Co-authorship network of co-authors of Michal Jančošek
This figure shows the co-authorship network connecting the top 25 collaborators of Michal Jančošek. A scholar is included among the top collaborators of Michal Jančošek 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 Michal Jančošek. Michal Jančošek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 86 | |
| 2 | 19 | |
| 3 | 59 | |
| 4 | Digital Elevation Modelling from Aerobot Camera Images | 0 |
| 5 | Multi-view reconstruction preserving weakly-supported surfacesbreakdown → | 243 |
| 6 | 219 | |
| 7 | Automatic Reconstruction of Mars Artifacts | 1 |
| 8 | Segmentation based Multi-View Stereo | 8 |
| 9 | 35 | |
| 10 | 4 |
About Michal Jančošek
Michal Jančošek is a scholar working on Geology, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 674 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (6 papers), Advanced Vision and Imaging (5 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Geology (282 citations), Computer Graphics and Computer-Aided Design (85 citations) and Computer Vision and Pattern Recognition (415 citations). Michal Jančošek has collaborated with scholars based in Czechia, Switzerland and Netherlands. Frequent co-authors include Tomáš Pajdla, Jan Smíšek, Sander Oude Elberink, George Vosselman, Biao Xiong, Alexander Shekhovtsov, Akihiko Torii, Michal Havlena, Jan Heller and Luc Van Gool. Their work appears in journals such as ISPRS Journal of Photogrammetry and Remote Sensing, International Scholarly Research Notices and 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
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.