Marco Panesi

3.9k citations
184 papers · 3.0k · h-index 31

Impact in

Papers in

Marco Panesi

170 papers receiving 3.0k citations

Peers

Marco Panesi
Comparison fields: 5 of 57
  • Applied Mathematics 2.3k
  • Computational Mechanics 1.2k
  • Aerospace Engineering 873
  • Atomic and Molecular Physics, and Optics 901
  • Statistical and Nonlinear Physics 242
Replace Е. В. Кустова with:
Е. В. Кустова Russia
Thomas E. Schwartzentruber United States
Deborah A. Levin United States
I. Armenise Italy
Sergey Gimelshein United States
Takashi Abe Japan
Deepak Bose United States
Fabrizio Esposito Italy
J. William Rich United States
Felix Sharipov Brazil
Marco Panesi relative to Е. В. Кустова Russia Е. В. Кустова's profile →
Citations per field
00.5×1.5×2.0×
Е. В. Кустова · 1×
Citations per year

Countries citing papers authored by Marco Panesi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Panesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013214
2 2009149
3 2014138
4 201194
5 201490
6 201585
7 201882
8 201181
9 201780
10 201776
11 201374
12 201971
13 201864
14 201261
15 201560
16 201956
17 202055
18 201354
19 201346
20 201943

About Marco Panesi

Marco Panesi is a scholar working on Applied Mathematics, Computational Mechanics, Aerospace Engineering, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 184 papers that have together received 3.0k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (152 papers), Computational Fluid Dynamics and Aerodynamics (61 papers), Plasma and Flow Control in Aerodynamics (33 papers), Plasma Diagnostics and Applications (25 papers), Atomic and Molecular Physics (18 papers), Fluid Dynamics and Turbulent Flows (17 papers), Advanced Thermodynamics and Statistical Mechanics (14 papers) and Quantum, superfluid, helium dynamics (13 papers). The work is most often cited by research in Applied Mathematics (2.3k citations), Computational Mechanics (1.2k citations), Aerospace Engineering (873 citations), Atomic and Molecular Physics, and Optics (901 citations) and Statistical and Nonlinear Physics (242 citations). Marco Panesi has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Thierry Magin, Alessandro Munafò, Richard L. Jaffe, David W. Schwenke, Anne Bourdon, Andrea Lani, Christopher O. Johnston, Olivier Chazot, Amal Sahai and Simone Venturi. Their work appears in journals such as The Journal of Chemical Physics, Journal of Thermophysics and Heat Transfer, Journal of Computational Physics, The Journal of Physical Chemistry A and Journal of Physics D Applied Physics.

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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