Václav Uher
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
-
- Digital Imaging for Blood Diseases
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Medical Image Segmentation Techniques 7
- Image Retrieval and Classification Techniques 6
- Advanced Neural Network Applications 4
- Advanced Image and Video Retrieval Techniques 4
- Co-authors
- Radim Bürget (14 shared papers)Malay Kishore Dutta (14 shared papers)Parthasarathi Mangipudi (2 shared papers)Anushikha Singh (2 shared papers)Kamil Říha (1 shared paper)Selda Güney (2 shared papers)Ritesh Maurya (1 shared paper)Petr Mlýnek (3 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (1 paper)Applied Sciences (1 paper)Radioengineering (1 paper)Journal of Software Engineering and Applications (1 paper)
In The Last Decade
Václav Uher
22 papers receiving 349 citations
Peers
Comparison fields: 5 of 67
- Ophthalmology 121
- Computer Vision and Pattern Recognition 199
- Radiology, Nuclear Medicine and Imaging 167
- Neurology 41
- Signal Processing 28
Countries citing papers authored by Václav Uher
This map shows the geographic impact of Václav Uher'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 Václav Uher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Václav Uher more than expected).
Fields of papers citing papers by Václav Uher
This network shows the impact of papers produced by Václav Uher. 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 Václav Uher. The network helps show where Václav Uher may publish in the future.
Co-authors
The 11 scholars most cited alongside Václav Uher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 159 | |
| 2 | 2019 | 82 | |
| 3 | 2019 | 17 | |
| 4 | 2019 | 12 | |
| 5 | 2015 | 11 | |
| 6 | 2013 | 11 | |
| 7 | 2012 | 11 | |
| 8 | 2018 | 10 | |
| 9 | 2013 | 10 | |
| 10 | 2013 | 7 | |
| 11 | 2013 | 7 | |
| 12 | 2015 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2012 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2013 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2014 | 2 |
About Václav Uher
Václav Uher is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing and Computer Networks and Communications, having authored 22 papers that have together received 369 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Image Retrieval and Classification Techniques (6 papers), Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Retinal Imaging and Analysis (3 papers), Glaucoma and retinal disorders (2 papers), Energy Load and Power Forecasting (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Ophthalmology (121 citations), Computer Vision and Pattern Recognition (199 citations), Radiology, Nuclear Medicine and Imaging (167 citations), Neurology (41 citations) and Signal Processing (28 citations). Václav Uher has collaborated with scholars based in Czechia, India and Türkiye. Frequent co-authors include Radim Bürget, Malay Kishore Dutta, Parthasarathi Mangipudi, Anushikha Singh, Kamil Říha, Selda Güney, Ritesh Maurya, Petr Mlýnek, Yogesh Kumar and Jiří Mišurec. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Applied Sciences, Radioengineering and Journal of Software Engineering and Applications.
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.