László Papp
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Cardiac Imaging and Diagnostics
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- Astrophysics and Cosmic Phenomena
- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
Papers in
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- Radiomics and Machine Learning in Medical Imaging 23
- Medical Imaging Techniques and Applications 18
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- Astrophysics and Cosmic Phenomena 22
- Neutrino Physics Research 20
- Dark Matter and Cosmic Phenomena 10
- Co-authors
- Norbert Zsótér (16 shared papers)Ralph Alexander Bundschuh (9 shared papers)Thomas Beyer (12 shared papers)Marcus Hacker (17 shared papers)Markus Essler (5 shared papers)Thorsten Derlin (4 shared papers)Ivo Rausch (8 shared papers)Marko Grahovac (9 shared papers)
In The Last Decade
László Papp
103 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 150
- Radiology, Nuclear Medicine and Imaging 788
- Nuclear and High Energy Physics 285
- Health Informatics 24
- Pulmonary and Respiratory Medicine 339
- Parasitology 72
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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 165 | |
| 2 | 2020 | 158 | |
| 3 | 2014 | 132 | |
| 4 | 2020 | 111 | |
| 5 | 2015 | 109 | |
| 6 | 2017 | 89 | |
| 7 | 2006 | 84 | |
| 8 | 2018 | 70 | |
| 9 | 2016 | 69 | |
| 10 | 2016 | 55 | |
| 11 | 2018 | 53 | |
| 12 | 2016 | 52 | |
| 13 | 2022 | 44 | |
| 14 | 2021 | 43 | |
| 15 | 2021 | 41 | |
| 16 | 2018 | 38 | |
| 17 | 2018 | 36 | |
| 18 | 2014 | 35 | |
| 19 | 2012 | 32 | |
| 20 | 2018 | 29 |
About László Papp
László Papp is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics, Astronomy and Astrophysics, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 110 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), Astrophysics and Cosmic Phenomena (22 papers), Neutrino Physics Research (20 papers), Medical Imaging Techniques and Applications (18 papers), Radio Astronomy Observations and Technology (12 papers), Dark Matter and Cosmic Phenomena (10 papers), Advanced X-ray and CT Imaging (10 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (788 citations), Nuclear and High Energy Physics (285 citations), Health Informatics (24 citations), Pulmonary and Respiratory Medicine (339 citations) and Parasitology (72 citations). László Papp has collaborated with scholars based in Germany, Austria and Hungary. Frequent co-authors include Norbert Zsótér, Ralph Alexander Bundschuh, Thomas Beyer, Marcus Hacker, Markus Essler, Thorsten Derlin, Ivo Rausch, Marko Grahovac, Susanne Klutmann and Christian Wisotzki. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine, 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.