Andrea Arnone

2.3k total citations
164 papers, 1.8k citations indexed

About

Andrea Arnone is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Andrea Arnone has authored 164 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Aerospace Engineering, 128 papers in Computational Mechanics and 52 papers in Mechanical Engineering. Recurrent topics in Andrea Arnone's work include Turbomachinery Performance and Optimization (128 papers), Computational Fluid Dynamics and Aerodynamics (69 papers) and Fluid Dynamics and Turbulent Flows (65 papers). Andrea Arnone is often cited by papers focused on Turbomachinery Performance and Optimization (128 papers), Computational Fluid Dynamics and Aerodynamics (69 papers) and Fluid Dynamics and Turbulent Flows (65 papers). Andrea Arnone collaborates with scholars based in Italy, United States and Australia. Andrea Arnone's co-authors include Michele Marconcini, Roberto Pacciani, Meng‐Sing Liou, Louis A. Povinelli, Filippo Rubechini, Ali Ameri, Francesco Bertini, Duccio Bonaiuti, Leonardo Baldassarre and R. C. Swanson and has published in prestigious journals such as SHILAP Revista de lepidopterología, AIAA Journal and Poultry Science.

In The Last Decade

Andrea Arnone

157 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrea Arnone Italy	21	1.4k	1.3k	588	135	77	164	1.8k
Daniel J. Dorney United States	20	1.2k 0.8×	1.1k 0.9×	395 0.7×	108 0.8×	47 0.6×	132	1.4k
Tom Verstraete Belgium	19	838 0.6×	621 0.5×	693 1.2×	120 0.9×	91 1.2×	108	1.3k
W. N. Dawes United Kingdom	25	2.0k 1.4×	1.9k 1.4×	1.3k 2.3×	145 1.1×	47 0.6×	116	2.4k
Tony Arts Belgium	26	1.8k 1.3×	2.1k 1.6×	1.8k 3.0×	76 0.6×	52 0.7×	141	2.6k
Chunill Hah United States	28	2.1k 1.5×	1.7k 1.3×	1.4k 2.3×	154 1.1×	37 0.5×	126	2.3k
R. A. Van den Braembussche Belgium	18	642 0.5×	520 0.4×	523 0.9×	181 1.3×	27 0.4×	45	891
Mahmoud Mamou Canada	24	616 0.4×	1.2k 0.9×	333 0.6×	98 0.7×	142 1.8×	98	1.8k
Zhenguo Wang China	35	1.8k 1.3×	2.5k 1.9×	186 0.3×	101 0.7×	36 0.5×	109	3.0k
Nicholas J. Hills United Kingdom	21	718 0.5×	735 0.6×	682 1.2×	58 0.4×	17 0.2×	86	1.1k
John W. Chew United Kingdom	23	872 0.6×	911 0.7×	1.0k 1.7×	82 0.6×	15 0.2×	122	1.5k

Countries citing papers authored by Andrea Arnone

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Arnone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Arnone

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Arnone. A scholar is included among the top collaborators of Andrea Arnone 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 Andrea Arnone. Andrea Arnone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pacciani, Roberto, et al.. (2025). The impact of modeling assumptions on the hot spots convection within a cooled high-pressure turbine stage. Aerospace Science and Technology. 166. 110612–110612.

Marconcini, Michele, et al.. (2024). Artificial Intelligence-Based Performance Maps for Expander-Compressor Analysis in Energy Transition Applications. Florence Research (University of Florence). 1 indexed citations

Arnone, Andrea, et al.. (2023). Mistuning Strategy on Long Blades to Mitigate Flutter. Florence Research (University of Florence). 1 indexed citations

Marconcini, Michele, et al.. (2023). Multi-Point Surrogate-Based Approach for Assessing Impacts of Geometric Variations on Centrifugal Compressor Performance. Energies. 16(4). 1584–1584. 3 indexed citations

Pacciani, Roberto, et al.. (2023). Improvements in the Prediction of Steady and Unsteady Transition and Mixing in Low Pressure Turbines by Means of Machine-Learnt Closures. Florence Research (University of Florence).

Pacciani, Roberto, et al.. (2023). Improvements in the Prediction of Steady and Unsteady Transition and Mixing in Low-Pressure Turbines by Means of Machine-Learnt Closures. Journal of Turbomachinery. 146(5). 3 indexed citations

Pichler, Richard, Yaomin Zhao, Richard D. Sandberg, et al.. (2018). LES and RANS Analysis of the End-Wall Flow in a Linear LPT Cascade: Part I — Flow and Secondary Vorticity Fields Under Varying Inlet Condition. Minerva Access (University of Melbourne). 13 indexed citations

Rubechini, Filippo, et al.. (2018). Capturing Radial Mixing in Axial Compressors With CFD. Florence Research (University of Florence). 2 indexed citations

Arnone, Andrea, et al.. (2015). Aeroelastic Stability Analysis of a Non-Rotating Annular Turbine Test Rig: a Comparison Between a Linearized and a Non-Linear Computational Method. Florence Research (University of Florence). 2 indexed citations

10.

Arnone, Andrea, et al.. (2015). On the Numerical Evaluation of Tone Noise Emissions Generated by a Turbine Stage: An In-Depth Comparison Among Different Computational Methods. Florence Research (University of Florence). 16 indexed citations

11.

Widowski, Tina M., et al.. (2014). The effect of dietary alterations during rearing on growth, productivity, and behavior in broiler breeder females. Poultry Science. 93(2). 285–295. 31 indexed citations

12.

Widowski, Tina M., et al.. (2014). The effect of dietary alterations during rearing on feather condition in broiler breeder females. Poultry Science. 93(7). 1636–1643. 16 indexed citations

13.

Rubechini, Filippo, et al.. (2011). A Redesign Strategy to Improve the Efficiency of a 17-Stage Steam Turbine. Journal of Turbomachinery. 134(3). 9 indexed citations

14.

Rubechini, Filippo, et al.. (2008). The Impact of Gas Modeling in the Numerical Analysis of a Multistage Gas Turbine. Journal of Turbomachinery. 130(2). 4 indexed citations

15.

Arnone, Andrea, et al.. (1999). Application of CFD techniques to the design of the Ariane 5 turbopump. 8 indexed citations

16.

Arnone, Andrea & Roberto Pacciani. (1998). IGV–Rotor Interaction Analysis in a Transonic Compressor Using the Navier–Stokes Equations. Journal of Turbomachinery. 120(1). 147–155. 12 indexed citations

17.

Arnone, Andrea. (1993). Viscous analysis of three-dimensional rotor flows using a multigrid method. NASA Technical Reports Server (NASA). 94. 11481. 5 indexed citations

18.

Arnone, Andrea, Meng‐Sing Liou, & Louis A. Povinelli. (1993). Multigrid time-accurate integration of Navier-Stokes equations. Florence Research (University of Florence). 94. 17258. 7 indexed citations

19.

Arnone, Andrea, Meng‐Sing Liou, & Louis A. Povinelli. (1991). Transonic cascade flow calculations using non-periodic C-type grids. Florence Research (University of Florence). 143–162. 6 indexed citations

20.

Arnone, Andrea & R. C. Swanson. (1988). A Navier-Stokes solver for cascade flows. Florence Research (University of Florence). 10 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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