E. Ranzi

17.5k total citations · 5 hit papers
238 papers, 14.4k citations indexed

About

E. Ranzi is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, E. Ranzi has authored 238 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Fluid Flow and Transfer Processes, 128 papers in Computational Mechanics and 81 papers in Biomedical Engineering. Recurrent topics in E. Ranzi's work include Advanced Combustion Engine Technologies (130 papers), Combustion and flame dynamics (101 papers) and Thermochemical Biomass Conversion Processes (62 papers). E. Ranzi is often cited by papers focused on Advanced Combustion Engine Technologies (130 papers), Combustion and flame dynamics (101 papers) and Thermochemical Biomass Conversion Processes (62 papers). E. Ranzi collaborates with scholars based in Italy, United States and France. E. Ranzi's co-authors include Tiziano Faravelli, Alessio Frassoldati, Alberto Cuoci, Sauro Pierucci, M. Dente, Giulia Bozzano, Matteo Pelucchi, Roberto Barberena Graña, Silvia Granata and G. Migliavacca and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Chemical Engineering Journal.

In The Last Decade

E. Ranzi

232 papers receiving 13.9k citations

Hit Papers

Hierarchical and comparative kinetic modeling of laminar ... 2008 2026 2014 2020 2012 2008 2014 2015 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Ranzi Italy 68 8.2k 7.8k 5.8k 3.2k 2.0k 238 14.4k
Tiziano Faravelli Italy 68 9.6k 1.2× 8.8k 1.1× 5.5k 1.0× 3.6k 1.1× 2.4k 1.2× 313 15.7k
Alessio Frassoldati Italy 55 6.4k 0.8× 6.1k 0.8× 4.2k 0.7× 2.0k 0.6× 1.5k 0.8× 207 10.5k
Peter Glarborg Denmark 74 10.1k 1.2× 8.8k 1.1× 8.0k 1.4× 8.4k 2.6× 2.8k 1.4× 351 21.4k
Alberto Cuoci Italy 46 5.0k 0.6× 5.1k 0.7× 2.8k 0.5× 1.5k 0.5× 1.2k 0.6× 173 8.2k
S. Mani Sarathy Saudi Arabia 64 10.5k 1.3× 7.5k 1.0× 5.5k 1.0× 3.8k 1.2× 1.8k 0.9× 403 14.9k
Mário Costa Portugal 49 3.3k 0.4× 3.7k 0.5× 3.2k 0.6× 2.3k 0.7× 1.0k 0.5× 200 8.9k
Pierre‐Alexandre Glaude France 56 5.6k 0.7× 3.5k 0.5× 2.9k 0.5× 2.5k 0.8× 1.2k 0.6× 169 7.9k
Zuohua Huang China 83 20.6k 2.5× 14.7k 1.9× 8.3k 1.4× 5.1k 1.6× 7.8k 3.9× 702 27.1k
Yuyang Li China 48 5.1k 0.6× 3.8k 0.5× 1.8k 0.3× 2.5k 0.8× 984 0.5× 230 7.4k
Wenming Yang Singapore 64 7.8k 1.0× 6.8k 0.9× 5.0k 0.9× 2.3k 0.7× 2.0k 1.0× 321 12.4k

Countries citing papers authored by E. Ranzi

Since Specialization
Citations

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

Fields of papers citing papers by E. Ranzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Ranzi

This figure shows the co-authorship network connecting the top 25 collaborators of E. Ranzi. A scholar is included among the top collaborators of E. Ranzi 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 E. Ranzi. E. Ranzi 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.
Mehl, Marco, Matteo Pelucchi, Luna Pratali Maffei, et al.. (2025). Developing chemical kinetic models for thermochemical applications. Nature Protocols. 21(2). 635–688. 1 indexed citations
3.
Pelucchi, Matteo, E. Ranzi, Anne Rodriguez, et al.. (2020). Combustion of n-C3–C6 Linear Alcohols: An Experimental and Kinetic Modeling Study. Part I: Reaction Classes, Rate Rules, Model Lumping, and Validation. Energy & Fuels. 34(11). 14688–14707. 22 indexed citations
4.
Ranzi, E., et al.. (2019). Reduced and detailed kinetic models comparison for thermal furnace of sulfur recovery units. SHILAP Revista de lepidopterología. 2 indexed citations
5.
Cavallotti, Carlo, Alberto Cuoci, Tiziano Faravelli, et al.. (2018). Detailed kinetics of pyrolysis and combustion of catechol and guaiacol, as reference components of bio-Oil from biomass. SHILAP Revista de lepidopterología. 4 indexed citations
6.
Frassoldati, Alessio, et al.. (2018). A Model Investigation of Fuel and Operating Regime Impact on Homogeneous Charge Compression Ignition Engine Performance. Energy & Fuels. 32(2). 2282–2298. 4 indexed citations
7.
Pelucchi, Matteo, Tiziano Faravelli, Alessio Frassoldati, et al.. (2018). Experimental and kinetic modeling study of pyrolysis and combustion of anisole. SHILAP Revista de lepidopterología. 11 indexed citations
8.
Bassani, Andrea, et al.. (2017). Devolatilization of organo-sulfur compounds in coal gasification. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Rossi, Francesco, E. Ranzi, Dries Telen, et al.. (2016). GASDS: A kinetic-based package for biomass and coal gasification. SHILAP Revista de lepidopterología. 9 indexed citations
10.
Gentile, Giancarlo, Paulo Debiagi, Alberto Cuoci, et al.. (2016). A CFD Model for Biomass Flame-Combustion Analysis. SHILAP Revista de lepidopterología. 50. 49–54. 3 indexed citations
11.
Pierucci, Sauro, et al.. (2015). Generalized simulation tools for coal, biomass and organic waste gasification processes. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Gentile, Giancarlo, Alberto Cuoci, Alessio Frassoldati, Tiziano Faravelli, & E. Ranzi. (2015). A comprehensive CFD model for the biomass pyrolysis. SHILAP Revista de lepidopterología. 7 indexed citations
13.
Bassani, Andrea, et al.. (2015). Novel coal gasification process: Improvement of syngas yield and reduction of emissions. SHILAP Revista de lepidopterología. 4 indexed citations
14.
Ranzi, E., et al.. (2015). Correct Molecular Reconstruction of Cracking Feeds: a Need for the Accurate Predictions of Ethylene Yields. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Rodriguez, Anne, Olivier Herbinet, Frédérique Battin‐Leclerc, et al.. (2015). Experimental and modeling investigation of the effect of the unsaturation degree on the gas-phase oxidation of fatty acid methyl esters found in biodiesel fuels. Combustion and Flame. 164. 346–362. 46 indexed citations
16.
Stagni, Alessandro, Chiara Saggese, Alberto Cuoci, et al.. (2014). Reduced kinetic model of biodiesel fuel combustion. SHILAP Revista de lepidopterología. 5 indexed citations
17.
Melkior, Thierry, et al.. (2013). Pyrolysis of thick biomass particles: experimental and kinetic modeling. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 4 indexed citations
18.
Cuoci, Alberto, et al.. (2010). Soot Formation in Turbulent non Premixed Flames. SHILAP Revista de lepidopterología. 2 indexed citations
19.
Mastellone, Maria Laura, Umberto Arena, Lucio Zaccariello, et al.. (2007). Devolatilization and Gasification of Plastic Wastes in a Fluidized Bed Reactor. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 11. 491–496. 1 indexed citations
20.
Ranzi, E., et al.. (1981). T-METHOD COMPUTES DISTILLATION. Hydrocarbon processing. 60(9). 179–183. 1 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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