Dávid Papp
Impact in
- Radiation top 5%
- Advanced Radiotherapy Techniques
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
Papers in
-
- Advanced Optimization Algorithms Research 11
- Mathematical Approximation and Integration 2
- Radiation 10
- Advanced Radiotherapy Techniques 10
- Co-authors
- Jan Unkelbach (13 shared papers)Sanjay Mehrotra (2 shared papers)Farid Alizadeh (6 shared papers)David Craft (4 shared papers)Mark Bangert (2 shared papers)János Tóth (5 shared papers)Attila Nagy (5 shared papers)Thomas Bortfeld (3 shared papers)
- Journals
- Medical Physics (7 papers)SIAM Journal on Optimization (5 papers)Physics in Medicine and Biology (4 papers)Annals of Operations Research (2 papers)GigaScience (1 paper)
- Partner nations
- United StatesSwitzerlandHungary
In The Last Decade
Dávid Papp
38 papers receiving 549 citations
Peers
Comparison fields: 5 of 84
- Radiation 182
- Numerical Analysis 66
- Management Science and Operations Research 132
- Modeling and Simulation 30
- Computational Theory and Mathematics 105
Countries citing papers authored by Dávid Papp
This map shows the geographic impact of Dávid 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 Dávid Papp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Papp more than expected).
Fields of papers citing papers by Dávid Papp
This network shows the impact of papers produced by Dávid 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 Dávid Papp. The network helps show where Dávid Papp may publish in the future.
Co-authors
The 25 scholars most cited alongside Dávid 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 65 | |
| 2 | 2014 | 56 | |
| 3 | 2015 | 52 | |
| 4 | 2015 | 36 | |
| 5 | 2018 | 34 | |
| 6 | 2014 | 33 | |
| 7 | 2011 | 27 | |
| 8 | 2015 | 26 | |
| 9 | 2013 | 26 | |
| 10 | 2012 | 26 | |
| 11 | 2015 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2011 | 14 | |
| 15 | 2005 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2011 | 11 | |
| 18 | 2014 | 11 | |
| 19 | 2013 | 9 | |
| 20 | 2019 | 8 |
About Dávid Papp
Dávid Papp is a scholar working on Numerical Analysis, Radiation, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 568 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (11 papers), Advanced Radiotherapy Techniques (10 papers), Radiation Therapy and Dosimetry (6 papers), Polynomial and algebraic computation (5 papers), Numerical Methods and Algorithms (3 papers), Probabilistic and Robust Engineering Design (3 papers), Gene Regulatory Network Analysis (3 papers) and Mathematical Approximation and Integration (2 papers). The work is most often cited by research in Radiation (182 citations), Numerical Analysis (66 citations), Management Science and Operations Research (132 citations), Modeling and Simulation (30 citations) and Computational Theory and Mathematics (105 citations). Dávid Papp has collaborated with scholars based in United States, Switzerland and Hungary. Frequent co-authors include Jan Unkelbach, Sanjay Mehrotra, Farid Alizadeh, David Craft, Mark Bangert, János Tóth, Attila Nagy, Thomas Bortfeld, Troy Long and Andrzej Ruszczyński. Their work appears in journals such as Medical Physics, SIAM Journal on Optimization, Physics in Medicine and Biology, Annals of Operations Research and GigaScience.
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.