Péter Vadász

2.9k citations
128 papers · 2.5k · h-index 27

Impact in

Papers in

Péter Vadász

123 papers receiving 2.5k citations

Peers

Péter Vadász
Comparison fields: 5 of 97
  • Computational Mechanics 1.4k
  • Modeling and Simulation 172
  • Biomedical Engineering 1.5k
  • Statistical and Nonlinear Physics 338
  • Mechanical Engineering 567
Replace Dieter Bothe with:
Dieter Bothe Germany
Stefano Cerbelli Italy
Pradeep Ganapathi Siddheshwar India
Abdelkader Mojtabi France
Beer Singh Bhadauria India
E. Magyari Switzerland
Galal Mahrous Moatimid Egypt
Augusto Visintin Italy
Roger L. Fosdick United States
José Luis Caramés Lage United States
Péter Vadász relative to Dieter Bothe Germany Dieter Bothe's profile →
Citations per field
00.5×2×2.8×
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 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998199
2 2005189
3 2005134
4 199986
5 200077
6 199877
7 199970
8 202264
9 200560
10 200057
11 200556
12 200853
13 200653
14 199647
15 201944
16 199441
17 199339
18 199639
19 200036
20 199834

About Péter Vadász

Péter Vadász is a scholar working on Computational Mechanics, Biomedical Engineering, Statistical and Nonlinear Physics, Modeling and Simulation and Mechanical Engineering, having authored 128 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (56 papers), Heat and Mass Transfer in Porous Media (39 papers), Fluid Dynamics and Turbulent Flows (35 papers), Heat Transfer and Optimization (16 papers), Advanced Thermodynamics and Statistical Mechanics (13 papers), Thermoelastic and Magnetoelastic Phenomena (10 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Fractional Differential Equations Solutions (9 papers). The work is most often cited by research in Computational Mechanics (1.4k citations), Modeling and Simulation (172 citations), Biomedical Engineering (1.5k citations), Statistical and Nonlinear Physics (338 citations) and Mechanical Engineering (567 citations). Péter Vadász has collaborated with scholars based in United States, South Africa and Israel. Frequent co-authors include Shmuel Olek, Saneshan Govender, Carol Braester, Amirhossein Arzani, M.E.E. Abashar, Jacob Bear, Donald A. Nield, Florinda Capone, Roberta De Luca and Yoram Zvirin. Their work appears in journals such as International Journal of Heat and Mass Transfer, Transport in Porous Media, ASME Journal of Heat and Mass Transfer, Physics of Fluids and Journal of Porous Media.

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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