Radim Bürget
Impact in
- Ophthalmology top 2%
- Glaucoma and retinal disorders
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- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
Papers in
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- Digital Imaging for Blood Diseases 14
- Medical Image Segmentation Techniques 12
- Advanced Steganography and Watermarking Techniques 10
- Image Retrieval and Classification Techniques 9
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- Retinal Imaging and Analysis 17
- Co-authors
- Malay Kishore Dutta (77 shared papers)Václav Uher (15 shared papers)Kamil Říha (17 shared papers)Anushikha Singh (13 shared papers)S. Bahinipati (4 shared papers)Justyna Skibińska (5 shared papers)Nirvana Popescu (2 shared papers)Asma Channa (2 shared papers)
In The Last Decade
Radim Bürget
136 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 155
- Ophthalmology 289
- Radiology, Nuclear Medicine and Imaging 594
- Computer Vision and Pattern Recognition 604
- Signal Processing 246
- Health Informatics 27
Countries citing papers authored by Radim Bürget
This map shows the geographic impact of Radim Bürget'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 Radim Bürget with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radim Bürget more than expected).
Fields of papers citing papers by Radim Bürget
This network shows the impact of papers produced by Radim Bürget. 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 Radim Bürget. The network helps show where Radim Bürget may publish in the future.
Co-authors
The 25 scholars most cited alongside Radim Bürget, 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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 173 | |
| 2 | 2021 | 141 | |
| 3 | 2019 | 86 | |
| 4 | 2017 | 79 | |
| 5 | 2020 | 78 | |
| 6 | 2021 | 76 | |
| 7 | 2021 | 64 | |
| 8 | 2014 | 62 | |
| 9 | 2019 | 60 | |
| 10 | 2023 | 55 | |
| 11 | 2013 | 55 | |
| 12 | 2021 | 52 | |
| 13 | 2021 | 43 | |
| 14 | 2016 | 37 | |
| 15 | 2012 | 33 | |
| 16 | 2018 | 31 | |
| 17 | 2021 | 29 | |
| 18 | 2014 | 28 | |
| 19 | 2022 | 27 | |
| 20 | 2021 | 27 |
About Radim Bürget
Radim Bürget is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 146 papers that have together received 2.1k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (14 papers), Medical Image Segmentation Techniques (12 papers), Glaucoma and retinal disorders (12 papers), Advanced Steganography and Watermarking Techniques (10 papers), Anomaly Detection Techniques and Applications (9 papers), AI in cancer detection (9 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Ophthalmology (289 citations), Radiology, Nuclear Medicine and Imaging (594 citations), Computer Vision and Pattern Recognition (604 citations), Signal Processing (246 citations) and Health Informatics (27 citations). Radim Bürget has collaborated with scholars based in Czechia, India and Finland. Frequent co-authors include Malay Kishore Dutta, Václav Uher, Kamil Říha, Anushikha Singh, S. Bahinipati, Justyna Skibińska, Nirvana Popescu, Asma Channa, Rakesh Chandra Joshi and Carlos M. Travieso. Their work appears in journals such as Computer Methods and Programs in Biomedicine, Biomedical Signal Processing and Control, Computers in Biology and Medicine, Sensors and Journal of Network and Computer 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.