Marc Pradas

820 citations
43 papers · 631 · h-index 15

Impact in

Papers in

Marc Pradas

40 papers receiving 623 citations

Peers

Marc Pradas
Comparison fields: 5 of 75
  • Computational Mechanics 238
  • Condensed Matter Physics 84
  • Surfaces, Coatings and Films 46
  • Statistical and Nonlinear Physics 62
  • Materials Chemistry 203
Replace Tim P. Schulze with:
Tim P. Schulze United States
Björn Stinner United Kingdom
K. J. Niskanen Finland
Orlando Susarrey Huerta Mexico
Liangsheng Li China
M. Conti Italy
S. Majaniemi Finland
Matteo Nicoli Italy
A. D. Fitt United Kingdom
Lev A. Slobozhanin United States
Marc Pradas relative to Tim P. Schulze United States Tim P. Schulze's profile →
Citations per field
00.5×3.4×
Tim P. Schulze · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018188
2 201844
3 201834
4 201933
5 201228
6 201224
7 201520
8 200919
9 201618
10 201217
11 200617
12 200716
13 201715
14 200714
15 201414
16 201313
17 201013
18 201312
19 201611
20
202111

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 43 papers that have together received 631 indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (15 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Theoretical and Computational Physics (10 papers), Solidification and crystal growth phenomena (7 papers), Fluid Dynamics and Heat Transfer (6 papers), Ecosystem dynamics and resilience (6 papers), Stochastic processes and statistical mechanics (5 papers) and Fluid Dynamics and Turbulent Flows (5 papers). The work is most often cited by research in Computational Mechanics (238 citations), Condensed Matter Physics (84 citations), Surfaces, Coatings and Films (46 citations), Statistical and Nonlinear Physics (62 citations) and Materials Chemistry (203 citations). Marc Pradas has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Celal Soyarslan, Swantje Bargmann, Serafim Kalliadasis, Jörg Weißmüller, A. Hernández‐Machado, J.M. López, Hiroshi Gotoda, Markus Schmuck, Fabian Denner and Christos N. Markides. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Physics A Mathematical and Theoretical, Langmuir, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Physical review. E.

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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