Roberto Torelli

642 total citations
51 papers, 495 citations indexed

About

Roberto Torelli is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Aerospace Engineering. According to data from OpenAlex, Roberto Torelli has authored 51 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Mechanics, 40 papers in Fluid Flow and Transfer Processes and 12 papers in Aerospace Engineering. Recurrent topics in Roberto Torelli's work include Advanced Combustion Engine Technologies (40 papers), Combustion and flame dynamics (37 papers) and Fluid Dynamics and Heat Transfer (9 papers). Roberto Torelli is often cited by papers focused on Advanced Combustion Engine Technologies (40 papers), Combustion and flame dynamics (37 papers) and Fluid Dynamics and Heat Transfer (9 papers). Roberto Torelli collaborates with scholars based in United States, Germany and Italy. Roberto Torelli's co-authors include Sibendu Som, Hengjie Guo, Yuanjiang Pei, Michael Traver, Yu Zhang, Seong-Young Lee, Jeffrey Naber, Riccardo Scarcelli, Le Zhao and Mehdi Raessi and has published in prestigious journals such as International Journal of Hydrogen Energy, International Journal of Heat and Mass Transfer and Fuel.

In The Last Decade

Roberto Torelli

46 papers receiving 481 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 Torelli United States 13 402 340 107 85 66 51 495
Juan P. Viera Spain 10 307 0.8× 337 1.0× 66 0.6× 85 1.0× 76 1.2× 12 421
Yoichi Ogata Japan 13 304 0.8× 296 0.9× 90 0.8× 92 1.1× 68 1.0× 68 457
Ronald O. Grover United States 12 382 1.0× 350 1.0× 116 1.1× 50 0.6× 72 1.1× 37 506
Shangze Yang China 14 465 1.2× 343 1.0× 113 1.1× 115 1.4× 60 0.9× 34 585
Christian Krüger Germany 11 357 0.9× 361 1.1× 123 1.1× 61 0.7× 99 1.5× 26 489
Yu Jin China 13 236 0.6× 274 0.8× 71 0.7× 82 1.0× 65 1.0× 39 381
Andreas Lippert United States 13 500 1.2× 520 1.5× 102 1.0× 150 1.8× 137 2.1× 28 619
Shengqi Wu China 12 364 0.9× 287 0.8× 93 0.9× 66 0.8× 50 0.8× 23 437
Hujie Pan China 10 305 0.8× 222 0.7× 73 0.7× 48 0.6× 47 0.7× 13 379
Heikki Kahila Finland 13 543 1.4× 524 1.5× 223 2.1× 74 0.9× 100 1.5× 16 633

Countries citing papers authored by Roberto Torelli

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Torelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Torelli

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Torelli. A scholar is included among the top collaborators of Roberto Torelli 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 Torelli. Roberto Torelli 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.
Park, Ji-Woong, et al.. (2025). Investigation of fuel film formation and soot emissions in a GDI engine during cold-start with Split-injection strategies. Applied Thermal Engineering. 288. 129634–129634.
2.
Torelli, Roberto, et al.. (2025). Free-spray characteristics and spray-wall interactions of methanol on a gasoline direct injector under flash-boiling and non-flash-boiling conditions. International Journal of Multiphase Flow. 196. 105562–105562.
3.
Torelli, Roberto, et al.. (2025). A Conjugate Heat Transfer Numerical Framework Applied to Energy-Assisted Ignition of Jet Fuel in a Rapid Compression Machine. SAE technical papers on CD-ROM/SAE technical paper series. 1.
4.
Zhao, Le, Ji-Woong Park, Carl-Philipp Ding, et al.. (2025). Optimization of spray breakup model parameters for predicting fuel spray and film characteristics in gasoline direct injection engines. International Journal of Engine Research. 26(11). 1703–1725. 1 indexed citations
5.
Torelli, Roberto, et al.. (2024). A Phenomenological Thermal Spray Wall Interaction Modeling Framework Applied to a High-Temperature Ignition Assistant Device. Journal of Engineering for Gas Turbines and Power. 146(9). 3 indexed citations
6.
Torelli, Roberto, et al.. (2024). Multicycle large-eddy simulations of a direct-injection hydrogen-fueled optical engine. International Journal of Hydrogen Energy. 98. 751–771.
7.
Torelli, Roberto, et al.. (2024). Numerical Evaluation of Fuel-Air Mixing in a Direct-Injection Hydrogen Engine Using a Multi-Hole Injector. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
8.
Kim, Joohan, Le Zhao, Ji-Woong Park, et al.. (2024). A comprehensive numerical investigation on spray models for Direct-Injection Spark-Ignition engines. Fuel. 373. 132325–132325. 3 indexed citations
9.
Guo, Hengjie & Roberto Torelli. (2023). Computational study of the ECN spray C via one-way coupling of internal nozzle flow and ensuing spray. Journal of Aerosol Science. 174. 106243–106243. 1 indexed citations
10.
11.
Torelli, Roberto, Yuanjiang Pei, Yu Zhang, & Sibendu Som. (2022). End-to-end modeling of fuel injection via static coupling of internal flow and ensuing spray. Communications Engineering. 1(1). 3 indexed citations
12.
Mondal, Sudeepta, et al.. (2021). Accelerating the Generation of Static Coupling Injection Maps Using a Data-Driven Emulator. SAE International Journal of Advances and Current Practices in Mobility. 3(3). 1408–1424. 10 indexed citations
13.
Raessi, Mehdi, et al.. (2021). Impact of high-speed diesel drop trains: Pursuing cleaner diesel engines. Physical Review Fluids. 6(11). 1 indexed citations
14.
15.
Tang, Meng, Yuanjiang Pei, Hengjie Guo, et al.. (2021). Piston Bowl Geometry Effects on Gasoline Compression Ignition in a Heavy-Duty Diesel Engine. Journal of Energy Resources Technology. 143(6). 11 indexed citations
16.
Zhao, Le, et al.. (2020). An Analytical Energy-budget Model for Diesel Droplet Impingement on an Inclined Solid Wall. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
17.
Guo, Hengjie, Roberto Torelli, Aniket Tekawade, et al.. (2020). Internal Nozzle Flow Simulations of the ECN Spray C Injector under Realistic Operating Conditions. SAE International Journal of Advances and Current Practices in Mobility. 2(4). 2229–2240. 17 indexed citations
18.
Torelli, Roberto, et al.. (2019). Exploration of Cavitation-Suppressing Orifice Designs for a Heavy-Duty Diesel Injector Operating with Straight-Run Gasoline. SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 indexed citations
19.
Torelli, Roberto, Katarzyna Matusik, Alan Kastengren, et al.. (2018). Evaluation of Shot-to-Shot In-Nozzle Flow Variations in a Heavy-Duty Diesel Injector Using Real Nozzle Geometry. SAE international journal of fuels and lubricants. 11(4). 379–295. 34 indexed citations
20.
Zhao, Le, Roberto Torelli, Riccardo Scarcelli, et al.. (2017). An Experimental and Numerical Study of Diesel Spray Impingement on a Flat Plate. SAE international journal of fuels and lubricants. 10(2). 407–422. 41 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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