Marc Pradas

700 citations
35 papers · 524 indexed · h-index 13

Impact in

Papers in

    • Fluid Dynamics and Thin Films 14
    • Fluid Dynamics and Heat Transfer 5
    • Fluid Dynamics and Turbulent Flows 5
    • Solidification and crystal growth phenomena 6
    • Material Dynamics and Properties 4

Marc Pradas

31 papers receiving 517 citations

Peers

Marc Pradas
Comparison fields: 5 of 70
  • Computational Mechanics 187
  • Condensed Matter Physics 78
  • Surfaces, Coatings and Films 37
  • Materials Chemistry 180
  • Statistical and Nonlinear Physics 39
Replace Matteo Nicoli with:
Matteo Nicoli Italy
M. Conti Italy
K. J. Niskanen Finland
Orlando Susarrey Huerta Mexico
Ashivni Shekhawat United States
Ben Q. Li United States
V.V. Kalaev Russia
Santanu Sinha India
N. Provatas Canada
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Citations per field
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Matteo Nicoli · 1×
Citations per year

Countries citing papers authored by Marc Pradas

Since Specialization
Citations

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

Fields of papers citing papers by Marc Pradas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Pradas, 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 Marc Pradas Line = papers co-authored together Marc Pradas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018182
2 201843
3 201831
4 201930
5 201223
6 201618
7 200917
8 200617
9 201217
10 200714
11 200714
12 201714
13 201312
14 201312
15 201011
16 201610
17 20088
18 20088
19 20148
20 20177

About Marc Pradas

Marc Pradas is a scholar working on Computational Mechanics, Materials Chemistry, Condensed Matter Physics, Computer Networks and Communications and Mathematical Physics, having authored 35 papers that have together received 524 indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (14 papers), Theoretical and Computational Physics (9 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Solidification and crystal growth phenomena (6 papers), Fluid Dynamics and Heat Transfer (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Stochastic processes and statistical mechanics (5 papers) and Material Dynamics and Properties (4 papers). The work is most often cited by research in Computational Mechanics (187 citations), Condensed Matter Physics (78 citations), Surfaces, Coatings and Films (37 citations), Materials Chemistry (180 citations) and Statistical and Nonlinear Physics (39 citations). Marc Pradas has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Celal Soyarslan, Swantje Bargmann, Jörg Weißmüller, Serafim Kalliadasis, A. Hernández‐Machado, J.M. López, Fabian Denner, Christos N. Markides, Alexandros Charogiannis and Berend van Wachem. Their work appears in journals such as Journal of Physics A Mathematical and Theoretical, Journal of Fluid Mechanics, Physical review. E, Langmuir and Nature Communications.

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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