Dávid Papp

838 citations
36 papers · 522 indexed · h-index 14

Impact in

Papers in

    • Advanced Radiotherapy Techniques 14
    • Advanced Optimization Algorithms Research 10
    • Mathematical Approximation and Integration 2

Dávid Papp

35 papers receiving 505 citations

Peers

Dávid Papp
Comparison fields: 5 of 90
  • Radiation 216
  • Numerical Analysis 56
  • Management Science and Operations Research 119
  • Radiology, Nuclear Medicine and Imaging 139
  • Modeling and Simulation 27
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Archis Ghate United States
Karl‐Heinz Küfer Germany
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Allen Holder United States
Tarek Halabi United States
Yuriy Zinchenko Canada
Éric Fournié Germany
Yves Rozenholc France
Francesco Cordoni Italy
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Citations per year

Countries citing papers authored by Dávid Papp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dávid Papp Line = papers co-authored together Dávid Papp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201463
2 201550
3 201450
4 201533
5 201832
6 201431
7 201326
8 201524
9 201124
10 201222
11 201715
12 201515
13 201814
14 202113
15 200513
16 201112
17 201411
18 201110
19 20138
20 20197

About Dávid Papp

Dávid Papp is a scholar working on Radiation, Numerical Analysis, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 36 papers that have together received 522 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (14 papers), Radiation Therapy and Dosimetry (10 papers), Advanced Optimization Algorithms Research (10 papers), Medical Imaging Techniques and Applications (6 papers), Polynomial and algebraic computation (4 papers), Probabilistic and Robust Engineering Design (3 papers), Mathematical functions and polynomials (2 papers) and Mathematical Approximation and Integration (2 papers). The work is most often cited by research in Radiation (216 citations), Numerical Analysis (56 citations), Management Science and Operations Research (119 citations), Radiology, Nuclear Medicine and Imaging (139 citations) and Modeling and Simulation (27 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, Thomas Bortfeld, Attila Nagy, János Tóth, Troy Long and S. C. Mehrotra. Their work appears in journals such as Medical Physics, SIAM Journal on Optimization, Physics in Medicine and Biology, Annals of Operations Research and Radiotherapy and Oncology.

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.

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