Matteo Pini

1.2k total citations
68 papers, 864 citations indexed

About

Matteo Pini is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Matteo Pini has authored 68 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computational Mechanics, 40 papers in Aerospace Engineering and 28 papers in Mechanical Engineering. Recurrent topics in Matteo Pini's work include Computational Fluid Dynamics and Aerodynamics (29 papers), Turbomachinery Performance and Optimization (28 papers) and Combustion and flame dynamics (28 papers). Matteo Pini is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (29 papers), Turbomachinery Performance and Optimization (28 papers) and Combustion and flame dynamics (28 papers). Matteo Pini collaborates with scholars based in Netherlands, Italy and Belgium. Matteo Pini's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Annual Review of Fluid Mechanics.

In The Last Decade

Matteo Pini

65 papers receiving 833 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matteo Pini Netherlands 19 444 443 374 107 94 68 864
Gregory M. Laskowski United States 20 863 1.9× 624 1.4× 788 2.1× 31 0.3× 108 1.1× 68 1.1k
Mohamed E. Eleshaky United States 12 399 0.9× 118 0.3× 148 0.4× 110 1.0× 99 1.1× 20 543
Rodrick V. Chima United States 20 1.1k 2.5× 358 0.8× 1.1k 2.8× 132 1.2× 19 0.2× 62 1.3k
László Könözsy United Kingdom 12 249 0.6× 142 0.3× 209 0.6× 40 0.4× 13 0.1× 47 442
Allan R. Wieting United States 13 747 1.7× 233 0.5× 409 1.1× 390 3.6× 21 0.2× 48 989
Michele Marconcini Italy 17 686 1.5× 248 0.6× 756 2.0× 13 0.1× 18 0.2× 115 854
Joachim Kurzke Germany 16 158 0.4× 164 0.4× 407 1.1× 35 0.3× 10 0.1× 27 593
V.H. Ransom United States 12 351 0.8× 99 0.2× 295 0.8× 114 1.1× 13 0.1× 34 624
Jens Neumann Germany 15 355 0.8× 51 0.1× 204 0.5× 34 0.3× 31 0.3× 56 549
L. Cambier France 5 488 1.1× 67 0.2× 417 1.1× 69 0.6× 27 0.3× 9 606

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-authorship network of co-authors of Matteo Pini

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Pini. A scholar is included among the top collaborators of Matteo Pini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matteo Pini. Matteo Pini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Colonna, Piero & Matteo Pini. (2025). Advances in research on ORC turbomachinery. 9(May). 1–3.
2.
Chatterton, Steven, et al.. (2025). Mechanical design and rotordynamic analysis of the ORCHID turbine. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 9(May). 45–66. 1 indexed citations
3.
Pini, Matteo, et al.. (2024). Advanced Design of a Transition Duct for Supersonic Inlet Turbines in Rotating Detonation Engines. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2 indexed citations
4.
Pini, Matteo, et al.. (2024). Concurrent optimization of multiple heat transfer surfaces using adjoint-based optimization with a CAD-based parametrization. International Journal of Heat and Mass Transfer. 236. 126230–126230. 1 indexed citations
5.
Pini, Matteo, et al.. (2024). Advanced Design of a Transition Duct for Supersonic Inlet Turbines in Rotating Detonation Engines. Journal of Turbomachinery. 147(3).
6.
Wheeler, Andrew P. S., et al.. (2024). Investigation of non-ideal effects in compressible boundary layers of dense vapors through direct numerical simulations. Physics of Fluids. 36(1). 3 indexed citations
7.
Servi, Carlo De, et al.. (2023). Data-driven modeling of high-speed centrifugal compressors for aircraft Environmental Control Systems. International Journal of Refrigeration. 151. 354–369. 7 indexed citations
8.
White, Martin T., et al.. (2023). Proceedings of the 4th International Seminar on Non-Ideal Compressible Fluid Dynamics for Propulsion and Power. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3 indexed citations
9.
Rubino, Antonio, Piero Colonna, & Matteo Pini. (2021). Adjoint-Based Unsteady Optimization of Turbomachinery Operating with Nonideal Compressible Flows. Journal of Propulsion and Power. 37(6). 910–918. 8 indexed citations
10.
Pini, Matteo, et al.. (2020). Solar energy harvesting on-board small satellites. Renewable Energy. 159. 954–972. 4 indexed citations
11.
Pini, Matteo, et al.. (2018). Semi-analytical model for the prediction of the Wilson point for homogeneously condensing steam flows. International Journal of Heat and Fluid Flow. 70. 1–14. 2 indexed citations
12.
Rubino, Antonio, Matteo Pini, Piero Colonna, et al.. (2018). Adjoint-based fluid dynamic design optimization in quasi-periodic unsteady flow problems using a harmonic balance method. Journal of Computational Physics. 372. 220–235. 33 indexed citations
13.
Rubino, Antonio, Matteo Pini, & Piero Colonna. (2017). Unsteady simulation of quasi-periodic flows in Organic Rankine Cycle cascades using a Harmonic Balance method. Energy Procedia. 129. 1101–1108. 3 indexed citations
14.
Vitale, S., et al.. (2017). Preliminary verification of the open-source CFD solver SU2 for radial-inflow turbine applications. Energy Procedia. 129. 1071–1077. 9 indexed citations
15.
Pini, Matteo, et al.. (2017). Active subspaces for the optimal meanline design of unconventional turbomachinery. Applied Thermal Engineering. 127. 1108–1118. 3 indexed citations
16.
Pini, Matteo. (2014). Turbomachinery design optimization using adjoint method and accurate equations of state. 5 indexed citations
17.
Pini, Matteo, Andrea Spinelli, Giacomo Persico, & S Rebay. (2014). Consistent look-up table interpolation method for real-gas flow simulations. Computers & Fluids. 107. 178–188. 32 indexed citations
18.
Casati, Emiliano, S. Vitale, Matteo Pini, Giacomo Persico, & Piero Colonna. (2014). Centrifugal Turbines for Mini-Organic Rankine Cycle Power Systems. Journal of Engineering for Gas Turbines and Power. 136(12). 60 indexed citations
19.
Pini, Matteo, Giacomo Persico, Emiliano Casati, & Vincenzo Dossena. (2013). Preliminary Design of a Centrifugal Turbine for Organic Rankine Cycle Applications. Journal of Engineering for Gas Turbines and Power. 135(4). 75 indexed citations
20.
Cinnella, Paola & Matteo Pini. (2013). Hybrid Adjoint-based Robust Optimization Approach for Fluid-Dynamics Problems. 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 4 indexed citations

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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