László Papp
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Cardiac Imaging and Diagnostics
- Radiopharmaceutical Chemistry and Applications
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 22
- Medical Imaging Techniques and Applications 16
- Radiopharmaceutical Chemistry and Applications 3
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- Advanced X-ray and CT Imaging 9
- Co-authors
- Norbert Zsótér (16 shared papers)Ralph A. Bundschuh (9 shared papers)Markus Essler (5 shared papers)Thomas Beyer (11 shared papers)Marcus Hacker (16 shared papers)Thorsten Derlin (4 shared papers)Ivo Rausch (8 shared papers)Marko Grahovac (8 shared papers)
In The Last Decade
László Papp
75 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 141
- Radiology, Nuclear Medicine and Imaging 659
- Health Informatics 16
- Parasitology 71
- Pulmonary and Respiratory Medicine 254
- Geochemistry and Petrology 46
Countries citing papers authored by László Papp
This map shows the geographic impact of László Papp'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 László Papp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Papp more than expected).
Fields of papers citing papers by László Papp
This network shows the impact of papers produced by László Papp. 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 László Papp. The network helps show where László Papp may publish in the future.
Co-authors
The 25 scholars most cited alongside László Papp, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 150 | |
| 2 | 2014 | 126 | |
| 3 | 2015 | 105 | |
| 4 | 2017 | 82 | |
| 5 | 2006 | 81 | |
| 6 | 2018 | 68 | |
| 7 | 2016 | 64 | |
| 8 | 2016 | 50 | |
| 9 | 2016 | 47 | |
| 10 | 2018 | 46 | |
| 11 | 2021 | 39 | |
| 12 | 2022 | 38 | |
| 13 | 2018 | 36 | |
| 14 | 2018 | 35 | |
| 15 | 2012 | 32 | |
| 16 | 2014 | 31 | |
| 17 | 2018 | 26 | |
| 18 | 2018 | 25 | |
| 19 | 2018 | 24 | |
| 20 | 2022 | 21 |
About László Papp
László Papp is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), Medical Imaging Techniques and Applications (16 papers), Advanced X-ray and CT Imaging (9 papers), AI in cancer detection (6 papers), Peripheral Artery Disease Management (4 papers), Medical Image Segmentation Techniques (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (659 citations), Health Informatics (16 citations), Parasitology (71 citations), Pulmonary and Respiratory Medicine (254 citations) and Geochemistry and Petrology (46 citations). László Papp has collaborated with scholars based in Austria, Germany and Hungary. Frequent co-authors include Norbert Zsótér, Ralph A. Bundschuh, Markus Essler, Thomas Beyer, Marcus Hacker, Thorsten Derlin, Ivo Rausch, Marko Grahovac, Christian R. Habermann and K. Vörös. Their work appears in journals such as Journal of Nuclear Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Cancers, Frontiers in Oncology and Scientific Reports.
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.