Riccardo Scarcelli

1.9k total citations
96 papers, 1.5k citations indexed

About

Riccardo Scarcelli is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Riccardo Scarcelli has authored 96 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Fluid Flow and Transfer Processes, 72 papers in Computational Mechanics and 33 papers in Aerospace Engineering. Recurrent topics in Riccardo Scarcelli's work include Advanced Combustion Engine Technologies (81 papers), Combustion and flame dynamics (68 papers) and Vehicle emissions and performance (27 papers). Riccardo Scarcelli is often cited by papers focused on Advanced Combustion Engine Technologies (81 papers), Combustion and flame dynamics (68 papers) and Vehicle emissions and performance (27 papers). Riccardo Scarcelli collaborates with scholars based in United States, Italy and Russia. Riccardo Scarcelli's co-authors include Thomas Wallner, Nicholas S. Matthias, Sibendu Som, Victor M. Salazar, Sebastian A. Kaiser, Jeffrey Naber, Michael Pamminger, Fernando Ortenzi, Maria Chiesa and Joohan Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Fuel.

In The Last Decade

Riccardo Scarcelli

93 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riccardo Scarcelli United States 23 1.3k 1.0k 468 432 303 96 1.5k
Cherian A. Idicheria United States 13 1.3k 1.0× 1.1k 1.1× 334 0.7× 280 0.6× 444 1.5× 21 1.4k
Isaac Ekoto United States 21 677 0.5× 537 0.5× 256 0.5× 413 1.0× 278 0.9× 65 1.1k
Yasuo Moriyoshi Japan 16 1.3k 1.0× 760 0.7× 586 1.3× 328 0.8× 412 1.4× 153 1.5k
Adrian Irimescu Italy 24 1.2k 1.0× 858 0.8× 569 1.2× 210 0.5× 423 1.4× 102 1.4k
Mehdi Jangi Sweden 24 1.1k 0.8× 1.2k 1.1× 160 0.3× 445 1.0× 258 0.9× 83 1.6k
Terrence Alger United States 20 1.1k 0.9× 654 0.6× 565 1.2× 266 0.6× 329 1.1× 43 1.2k
Cinzia Tornatore Italy 23 1.3k 1.0× 818 0.8× 517 1.1× 197 0.5× 591 2.0× 96 1.5k
P.G. Aleiferis United Kingdom 26 1.9k 1.4× 1.7k 1.6× 476 1.0× 527 1.2× 583 1.9× 48 2.2k
Wuqiang Long China 25 1.6k 1.3× 1.1k 1.1× 382 0.8× 475 1.1× 430 1.4× 127 2.0k
Kwang Min Chun South Korea 18 1.3k 1.0× 683 0.7× 647 1.4× 222 0.5× 504 1.7× 66 1.6k

Countries citing papers authored by Riccardo Scarcelli

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Scarcelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Scarcelli

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Scarcelli. A scholar is included among the top collaborators of Riccardo Scarcelli 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 Riccardo Scarcelli. Riccardo Scarcelli 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.
Kim, Joohan, et al.. (2024). Modeling Pre-Chamber Assisted Efficient Combustion in an Argon Power Cycle Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1.
2.
Wang, Yiqing, et al.. (2024). Multidimensional Modeling of Mixture Formation in a Hydrogen-Fueled Heavy-Duty Optical Engine With Direct Injection. Journal of Engineering for Gas Turbines and Power. 147(9).
3.
4.
Kim, Joohan, et al.. (2023). Numerical and Experimental Study of an Aircraft Igniter Plasma Jet Discharge. Journal of Propulsion and Power. 39(6). 824–839. 1 indexed citations
5.
Kim, Joohan, Muhsin Ameen, Riccardo Scarcelli, et al.. (2023). Evaluation of Spray and Combustion Models for Simulating Dilute Combustion in a Direct-Injection Spark-Ignition Engine. Journal of Engineering for Gas Turbines and Power. 145(8). 3 indexed citations
6.
Scarcelli, Riccardo, et al.. (2022). Coupling a Lagrangian–Eulerian Spark-Ignition (LESI) model with LES combustion models for engine simulations. SHILAP Revista de lepidopterología. 77. 10–10. 6 indexed citations
7.
Scarcelli, Riccardo, et al.. (2022). A comprehensive model to capture electrical discharge and spark channel evolution during spark-ignition processes. Combustion and Flame. 248. 112589–112589. 2 indexed citations
8.
Pei, Yuanjiang, et al.. (2022). Multi-dimensional modeling of mixture preparation in a direct injection engine fueled with gaseous hydrogen. International Journal of Hydrogen Energy. 47(67). 29085–29101. 38 indexed citations
9.
Scarcelli, Riccardo, et al.. (2022). Numerical Investigation of the Impact of Fuel Flow Rate on Combustion in a Heavy-Duty Diesel Engine with a Multi-Row Nozzle Injector. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
10.
Scarcelli, Riccardo, et al.. (2021). A nanosecond pulsed discharge circuit model for engine applications. Journal of Physics D Applied Physics. 55(15). 155205–155205. 3 indexed citations
11.
Kim, Joohan, et al.. (2021). Assessment of Turbulent Combustion Models for Simulating Prechamber Ignition in a Natural Gas Engine. Journal of Engineering for Gas Turbines and Power. 143(9). 23 indexed citations
12.
Kim, Joohan, et al.. (2021). Numerical investigation of a fueled pre-chamber spark-ignition natural gas engine. International Journal of Engine Research. 23(9). 1475–1494. 37 indexed citations
13.
Ryu, Je Ir, et al.. (2020). Ignition Enhancement of F-24 Jet Fuel by a Hot Surface for Aircraft Propulsion Systems. AIAA Scitech 2020 Forum. 23 indexed citations
14.
15.
Torelli, Roberto, Mehdi Raessi, Sibendu Som, et al.. (2018). Using a DNS Framework to Test a Splashed Mass Sub-Model for Lagrangian Spray Simulations. SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 indexed citations
16.
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
17.
Pamminger, Michael, Thomas Wallner, Riccardo Scarcelli, et al.. (2016). Influence of Injector Location on Part-Load Performance Characteristics of Natural Gas Direct-Injection in a Spark Ignition Engine. SAE International Journal of Engines. 9(4). 2262–2271. 15 indexed citations
18.
Scarcelli, Riccardo, et al.. (2015). Capturing Cyclic Variability in EGR Dilute SI Combustion Using Multi-Cycle RANS. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 11 indexed citations
19.
Wang, Zihan, Riccardo Scarcelli, Sibendu Som, et al.. (2013). Multi-Dimensional Modeling and Validation of Combustion in a High-Efficiency Dual-Fuel Light-Duty Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 14 indexed citations
20.
Cordiner, Stefano, Vincenzo Mulone, & Riccardo Scarcelli. (2007). Numerical Simulation of Engines Fuelled by Hydrogen and Natural Gas Mixtures. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 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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