Matteo Pini

1.2k citations
72 papers · 888 · h-index 20

Impact in

Papers in

Matteo Pini

68 papers receiving 866 citations

Peers

Matteo Pini
Comparison fields: 5 of 46
  • Computational Mechanics 449
  • Aerospace Engineering 378
  • Mechanical Engineering 452
  • Applied Mathematics 107
  • Statistical and Nonlinear Physics 95
Replace Gregory M. Laskowski with:
Gregory M. Laskowski United States
Mohamed E. Eleshaky United States
Rodrick V. Chima United States
Vamshi Korivi United States
Zhanxue Wang China
R. A. Van den Braembussche Belgium
László Könözsy United Kingdom
Pavlos K. Zachos United Kingdom
Allan R. Wieting United States
Jiaqi Luo China
Matteo Pini relative to Gregory M. Laskowski United States Gregory M. Laskowski's profile →
Citations per field
00.5×3.2×
Gregory M. Laskowski · 1×
Citations per year

Countries citing papers authored by Matteo Pini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201375
2 201460
3 201452
4 201746
5 201345
6 201535
7 201833
8 201432
9 202029
10 202129
11 201727
12 201526
13 201926
14 201625
15 202422
16 202022
17 201721
18 201720
19 201319
20 202219

About Matteo Pini

Matteo Pini is a scholar working on Computational Mechanics, Aerospace Engineering, Mechanical Engineering, Applied Mathematics and Computational Theory and Mathematics, having authored 72 papers that have together received 888 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (29 papers), Computational Fluid Dynamics and Aerodynamics (29 papers), Combustion and flame dynamics (28 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (15 papers), Refrigeration and Air Conditioning Technologies (15 papers), Advanced Thermodynamic Systems and Engines (13 papers), Gas Dynamics and Kinetic Theory (11 papers) and Rocket and propulsion systems research (8 papers). The work is most often cited by research in Computational Mechanics (449 citations), Aerospace Engineering (378 citations), Mechanical Engineering (452 citations), Applied Mathematics (107 citations) and Statistical and Nonlinear Physics (95 citations). Matteo Pini has collaborated with scholars based in Netherlands, Italy and Belgium. Frequent co-authors include Piero Colonna, Giacomo Persico, S. Vitale, Vincenzo Dossena, Emiliano Casati, Carlo De Servi, Antonio Rubino, Andrea Spinelli, S Rebay and Paolo Gaetani. Their work appears in journals such as Journal of Engineering for Gas Turbines and Power, Physics of Fluids, Journal of Turbomachinery, Journal of Propulsion and Power and International Journal of Refrigeration.

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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