Roberto Pacciani

880 total citations
81 papers, 687 citations indexed

About

Roberto Pacciani is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Roberto Pacciani has authored 81 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Aerospace Engineering, 70 papers in Computational Mechanics and 18 papers in Mechanical Engineering. Recurrent topics in Roberto Pacciani's work include Turbomachinery Performance and Optimization (71 papers), Combustion and flame dynamics (49 papers) and Fluid Dynamics and Turbulent Flows (40 papers). Roberto Pacciani is often cited by papers focused on Turbomachinery Performance and Optimization (71 papers), Combustion and flame dynamics (49 papers) and Fluid Dynamics and Turbulent Flows (40 papers). Roberto Pacciani collaborates with scholars based in Italy, Australia and China. Roberto Pacciani's co-authors include Andrea Arnone, Michele Marconcini, Richard D. Sandberg, Yaomin Zhao, Francesco Bertini, Vittorio Michelassi, Paolo Gaetani, Harshal D. Akolekar, Sylvain Lardeau and Richard Pichler and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and Journal of Sound and Vibration.

In The Last Decade

Roberto Pacciani

74 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Pacciani Italy 15 607 594 172 45 36 81 687
Michele Marconcini Italy 17 756 1.2× 686 1.2× 248 1.4× 46 1.0× 18 0.5× 115 854
Francesco Bertini Italy 17 545 0.9× 597 1.0× 145 0.8× 24 0.5× 55 1.5× 73 661
Xu Dong China 15 513 0.8× 329 0.6× 365 2.1× 36 0.8× 16 0.4× 63 575
Paolo Adami United Kingdom 13 408 0.7× 416 0.7× 203 1.2× 16 0.4× 24 0.7× 61 510
Shengfeng Zhao China 14 472 0.8× 337 0.6× 329 1.9× 55 1.2× 20 0.6× 78 574
Xinrong Su China 14 486 0.8× 458 0.8× 330 1.9× 28 0.6× 14 0.4× 49 585
Xingen Lu China 17 877 1.4× 658 1.1× 546 3.2× 46 1.0× 34 0.9× 126 994
Yumeng Tang China 16 320 0.5× 427 0.7× 237 1.4× 47 1.0× 47 1.3× 47 555
Haoguang Zhang China 15 565 0.9× 381 0.6× 298 1.7× 21 0.5× 15 0.4× 75 628
Matteo Pini Netherlands 19 374 0.6× 444 0.7× 443 2.6× 34 0.8× 94 2.6× 68 864

Countries citing papers authored by Roberto Pacciani

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Pacciani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Pacciani

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Pacciani. A scholar is included among the top collaborators of Roberto Pacciani 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 Roberto Pacciani. Roberto Pacciani 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.
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.
2.
Fang, Yuan, Roberto Pacciani, Yaomin Zhao, et al.. (2024). Exploiting a Transformer Architecture for Simultaneous Development of Transition and Turbulence Models for Turbine Flow Predictions. Florence Research (University of Florence). 1 indexed citations
3.
Innocenti, Giacomo, et al.. (2024). On the assessment of CFD assumptions for the preliminary design of a two-stage high-pressure turbine: Impact of unsteady effects on thermal loads. International Journal of Heat and Mass Transfer. 236. 126243–126243. 1 indexed citations
4.
5.
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
6.
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8.
Fang, Yuan, Yaomin Zhao, Harshal D. Akolekar, et al.. (2023). A Data-Driven Approach for Generalizing the Laminar Kinetic Energy Model for Separation and Bypass Transition in Low- and High-Pressure Turbines. Florence Research (University of Florence). 1 indexed citations
9.
10.
Pacciani, Roberto, et al.. (2022). Impact of Operating Conditions on Rotor/Stator Interaction of a High-Pressure Ratio Centrifugal Compressor. Florence Research (University of Florence).
11.
Marconcini, Michele, et al.. (2020). Computational and Experimental Study of the Unsteady Convection of Entropy Waves Within a High Pressure Turbine Stage. Florence Research (University of Florence). 3 indexed citations
12.
Pacciani, Roberto, et al.. (2019). CFD-Based Throughflow Analysis of Transonic Flows in Steam Turbines. Florence Research (University of Florence). 2 indexed citations
13.
Pacciani, Roberto, Michele Marconcini, & Andrea Arnone. (2019). Comparison of the AUSM+-up and other advection schemes for turbomachinery applications. Shock Waves. 29(5). 705–716. 21 indexed citations
14.
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
15.
Pacciani, Roberto, Michele Marconcini, Andrea Arnone, & Francesco Bertini. (2012). URANS Analysis of Wake-Induced Effects in High-Lift, Low Reynolds Number Cascade Flows. Florence Research (University of Florence). 1521–1530. 3 indexed citations
16.
Pacciani, Roberto, et al.. (2010). Calculation of High-Lift Cascades in Low Pressure Turbine Conditions Using a Three-Equation Model. Journal of Turbomachinery. 133(3). 51 indexed citations
17.
Arnone, Andrea, et al.. (2004). Parametric Optimization of a High-Lift Turbine Vane. Florence Research (University of Florence). 1469–1479. 11 indexed citations
18.
Arnone, Andrea, et al.. (2001). Numerical Investigation of Airfoil Clocking in a Three-Stage Low-Pressure Turbine. Journal of Turbomachinery. 124(1). 61–68. 37 indexed citations
19.
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
20.
Arnone, Andrea, Roberto Pacciani, & Alessandra Sestini. (1995). Multigrid Computations of Unsteady Rotor-Stator Interaction Using the Navier-Stokes Equations. Journal of Fluids Engineering. 117(4). 647–652. 16 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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