Péter Vadász

2.9k citations
115 papers · 2.1k · h-index 24

Impact in

Papers in

Péter Vadász

109 papers receiving 2.0k citations

Peers

Péter Vadász
Comparison fields: 5 of 97
  • Computational Mechanics 1.2k
  • Modeling and Simulation 153
  • Biomedical Engineering 1.2k
  • Statistical and Nonlinear Physics 318
  • Mechanical Engineering 492
Replace Dieter Bothe with:
Dieter Bothe Germany
P. G. Siddheshwar India
Abdelkader Mojtabi France
V. Hlaváček United States
B. S. Bhadauria India
Galal M. Moatimid Egypt
Denis Blackmore United States
Xiaofan Li United States
T. Tran‐Cong Australia
Demetrios T. Papageorgiou United Kingdom
Péter Vadász relative to Dieter Bothe Germany Dieter Bothe's profile →
Citations per field
00.5×3.9×
Dieter Bothe · 1×
Citations per year

Countries citing papers authored by Péter Vadász

Since Specialization
Citations

This map shows the geographic impact of Péter Vadász'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 Péter Vadász with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Vadász more than expected).

Fields of papers citing papers by Péter Vadász

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Péter Vadász. 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 Péter Vadász. The network helps show where Péter Vadász may publish in the future.

Co-authors

The 17 scholars most cited alongside Péter Vadász, 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 Péter Vadász Line = papers co-authored together Péter Vadász links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998181
2 2005178
3 2005131
4 199973
5 200066
6 199865
7 199958
8 200054
9 200553
10 202252
11 200550
12 200647
13 200843
14 199638
15 201936
16 200034
17 199433
18 199629
19 199329
20 201528

About Péter Vadász

Péter Vadász is a scholar working on Computational Mechanics, Biomedical Engineering, Mechanical Engineering, Statistical and Nonlinear Physics and Mechanics of Materials, having authored 115 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (50 papers), Heat and Mass Transfer in Porous Media (33 papers), Fluid Dynamics and Turbulent Flows (30 papers), Advanced Thermodynamics and Statistical Mechanics (15 papers), Heat Transfer and Optimization (14 papers), Thermoelastic and Magnetoelastic Phenomena (10 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Fractional Differential Equations Solutions (8 papers). The work is most often cited by research in Computational Mechanics (1.2k citations), Modeling and Simulation (153 citations), Biomedical Engineering (1.2k citations), Statistical and Nonlinear Physics (318 citations) and Mechanical Engineering (492 citations). Péter Vadász has collaborated with scholars based in South Africa, United States and Israel. Frequent co-authors include S. Olek, Saneshan Govender, Carol Braester, Amirhossein Arzani, M.E.E. Abashar, Jacob Bear, Joan Pitkin, Roberta De Luca, Mika Mustonen and Florinda Capone. Their work appears in journals such as International Journal of Heat and Mass Transfer, Transport in Porous Media, Journal of Heat Transfer, International Journal of Food Microbiology and Physics of Fluids.

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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