Csaba Pintér
Impact in
- Radiation top 5%
- Advanced Radiotherapy Techniques
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 11
- Medical Imaging Techniques and Applications 8
- Radiation 12
- Advanced Radiotherapy Techniques 12
- Co-authors
- Gábor Fichtinger (30 shared papers)Andras Lasso (28 shared papers)Tamás Ungi (7 shared papers)Tamas Heffter (3 shared papers)Adam Rankin (1 shared paper)David A. Jaffray (2 shared papers)An Wang (1 shared paper)Matthew A. Jolley (9 shared papers)
- Journals
- Medical Physics (3 papers)BMC Oral Health (2 papers)Computer Methods and Programs in Biomedicine (2 papers)Brachytherapy (2 papers)IEEE Transactions on Biomedical Engineering (2 papers)
- Partner nations
- CanadaUnited StatesHungary
In The Last Decade
Csaba Pintér
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 93
- Radiation 169
- Radiology, Nuclear Medicine and Imaging 278
- Health Informatics 11
- Computer Vision and Pattern Recognition 156
- Biomedical Engineering 291
Countries citing papers authored by Csaba Pintér
This map shows the geographic impact of Csaba Pintér'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 Csaba Pintér with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Csaba Pintér more than expected).
Fields of papers citing papers by Csaba Pintér
This network shows the impact of papers produced by Csaba Pintér. 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 Csaba Pintér. The network helps show where Csaba Pintér may publish in the future.
Co-authors
The 25 scholars most cited alongside Csaba Pintér, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 322 | |
| 2 | 2012 | 205 | |
| 3 | 2019 | 76 | |
| 4 | 2012 | 53 | |
| 5 | 2020 | 38 | |
| 6 | 2017 | 30 | |
| 7 | 2022 | 25 | |
| 8 | 2021 | 22 | |
| 9 | 2012 | 20 | |
| 10 | 2018 | 18 | |
| 11 | 2013 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2018 | 15 | |
| 14 | 2018 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2015 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2011 | 7 |
About Csaba Pintér
Csaba Pintér is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Oral Surgery and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced X-ray and CT Imaging (9 papers), Medical Imaging Techniques and Applications (8 papers), Medical Imaging and Analysis (5 papers), Dental Radiography and Imaging (5 papers), Anatomy and Medical Technology (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Radiation (169 citations), Radiology, Nuclear Medicine and Imaging (278 citations), Health Informatics (11 citations), Computer Vision and Pattern Recognition (156 citations) and Biomedical Engineering (291 citations). Csaba Pintér has collaborated with scholars based in Canada, United States and Hungary. Frequent co-authors include Gábor Fichtinger, Andras Lasso, Tamás Ungi, Tamas Heffter, Adam Rankin, David A. Jaffray, An Wang, Matthew A. Jolley, Bálint Molnár and Péter Windisch. Their work appears in journals such as Medical Physics, BMC Oral Health, Computer Methods and Programs in Biomedicine, Brachytherapy and IEEE Transactions on Biomedical Engineering.
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.