Mariano Sirignano

2.0k total citations
75 papers, 1.7k citations indexed

About

Mariano Sirignano is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Materials Chemistry. According to data from OpenAlex, Mariano Sirignano has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Fluid Flow and Transfer Processes, 43 papers in Computational Mechanics and 29 papers in Materials Chemistry. Recurrent topics in Mariano Sirignano's work include Advanced Combustion Engine Technologies (52 papers), Combustion and flame dynamics (43 papers) and Atmospheric chemistry and aerosols (24 papers). Mariano Sirignano is often cited by papers focused on Advanced Combustion Engine Technologies (52 papers), Combustion and flame dynamics (43 papers) and Atmospheric chemistry and aerosols (24 papers). Mariano Sirignano collaborates with scholars based in Italy, Australia and Germany. Mariano Sirignano's co-authors include Andrea D’Anna, John Kent, Carmela Russo, Maurin Salamanca, A. Ciajolo, Mario Commodo, Gianluigi De Falco, Assaad R. Masri, Patrizia Minutolo and Christian Hasse and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Carbon.

In The Last Decade

Mariano Sirignano

72 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariano Sirignano Italy 26 1.2k 771 605 453 382 75 1.7k
M. Reza Kholghy Canada 17 938 0.8× 585 0.8× 448 0.7× 410 0.9× 351 0.9× 28 1.3k
Mario Commodo Italy 27 1.1k 0.9× 692 0.9× 732 1.2× 704 1.6× 264 0.7× 87 1.9k
F. Liu Canada 26 659 0.5× 758 1.0× 276 0.5× 580 1.3× 291 0.8× 45 1.5k
Patrizia Minutolo Italy 26 1.0k 0.8× 647 0.8× 656 1.1× 843 1.9× 377 1.0× 77 2.0k
Gianluigi De Falco Italy 23 683 0.6× 380 0.5× 577 1.0× 450 1.0× 184 0.5× 73 1.5k
H. Jander Germany 18 782 0.7× 582 0.8× 408 0.7× 412 0.9× 166 0.4× 43 1.3k
Chiara Saggese United States 21 974 0.8× 707 0.9× 524 0.9× 304 0.7× 170 0.4× 37 1.5k
Joaquin Camacho United States 17 878 0.7× 606 0.8× 372 0.6× 422 0.9× 265 0.7× 28 1.1k
Boris F. Kock Germany 12 533 0.4× 488 0.6× 176 0.3× 571 1.3× 196 0.5× 18 1.1k
Aaron J. Tomasek United States 8 690 0.6× 201 0.3× 777 1.3× 181 0.4× 290 0.8× 10 1.2k

Countries citing papers authored by Mariano Sirignano

Since Specialization
Citations

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

Fields of papers citing papers by Mariano Sirignano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariano Sirignano

This figure shows the co-authorship network connecting the top 25 collaborators of Mariano Sirignano. A scholar is included among the top collaborators of Mariano Sirignano 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 Mariano Sirignano. Mariano Sirignano 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.
Sirignano, Mariano, et al.. (2025). The origin of the oxygen bonded in soot particles in biofuel combustion: The ethanol case. Fuel. 405. 136490–136490.
2.
Esposito, Vincenzo & Mariano Sirignano. (2024). Effect of strain rate on nanoparticles and soot in counterflow flames of ethylene/ethanol and ethylene/OME3. Fuel. 379. 133094–133094. 2 indexed citations
3.
Natale, Francesco Di, et al.. (2024). Analysis of Carbon Nanoparticle Coatings via Wettability. Nanomaterials. 14(3). 301–301. 5 indexed citations
4.
Meloni, Eugenio, et al.. (2023). Effect of a Cu-Ferrite Catalyzed DPF on the Ultrafine Particle Emissions from a Light-Duty Diesel Engine. Energies. 16(10). 4071–4071. 5 indexed citations
5.
Faccinetto, Alessandro, et al.. (2022). Thermocouple-based thermometry for laminar sooting flames: Implementation of a fast and simple methodology. International Journal of Thermal Sciences. 184. 107973–107973. 12 indexed citations
6.
Russo, Carmela, B. Apicella, A. La Rocca, & Mariano Sirignano. (2022). Fluorescent carbon dots synthesis in premixed flames: Influence of the equivalence ratio. Carbon. 201. 659–666. 17 indexed citations
7.
Sirignano, Mariano, et al.. (2021). Numerical Investigation on the Effect of the Oxymethylene Ether-3 (OME3) Blending Ratio in Premixed Sooting Ethylene Flames. Frontiers in Mechanical Engineering. 7. 6 indexed citations
8.
Falco, Gianluigi De, et al.. (2020). Soot particle size distribution measurements in a turbulent ethylene swirl flame. Proceedings of the Combustion Institute. 38(2). 2691–2699. 15 indexed citations
9.
Gkantonas, Savvas, Mariano Sirignano, Andrea Giusti, Andrea D’Anna, & Epaminondas Mastorakos. (2020). Comprehensive soot particle size distribution modelling of a model Rich-Quench-Lean burner. Fuel. 270. 117483–117483. 22 indexed citations
10.
Meloni, Eugenio, et al.. (2020). Experimental characterization of ultrafine particle emissions from a light-duty diesel engine equipped with a standard DPF. Proceedings of the Combustion Institute. 38(4). 5695–5702. 49 indexed citations
11.
Giannino, Francesco, et al.. (2018). A Minimal Model for the Vegetation Combustion in Wildfire Simulators. SHILAP Revista de lepidopterología. 67. 19–24. 1 indexed citations
13.
Merotto, L., Mariano Sirignano, Mario Commodo, et al.. (2018). Probing the equivalence ratio in partially premixed flames by combining optical techniques and modeling results. Combustion Science and Technology. 190(8). 1442–1454. 1 indexed citations
14.
Pascazio, Laura, Mariano Sirignano, & Andrea D’Anna. (2017). Simulating the morphology of clusters of polycyclic aromatic hydrocarbons: The influence of the intermolecular potential. Combustion and Flame. 185. 53–62. 26 indexed citations
15.
Giannino, Francesco, Davide Ascoli, Mariano Sirignano, et al.. (2017). A combustion model of vegetation burning in “Tiger” fire propagation tool. AIP conference proceedings. 1906. 100007–100007. 2 indexed citations
16.
Falco, Gianluigi De, Chiara Colarusso, Michela Terlizzi, et al.. (2017). Chronic Obstructive Pulmonary Disease-Derived Circulating Cells Release IL-18 and IL-33 under Ultrafine Particulate Matter Exposure in a Caspase-1/8-Independent Manner. Frontiers in Immunology. 8. 1415–1415. 37 indexed citations
17.
Sirignano, Mariano, et al.. (2015). Effect of alkylated aromatics on particle formation in diffusion flames: An experimental study. Experimental Thermal and Fluid Science. 73. 27–32. 28 indexed citations
18.
Sirignano, Mariano, John Kent, & Andrea D’Anna. (2014). Further experimental and modelling evidences of soot fragmentation in flames. Proceedings of the Combustion Institute. 35(2). 1779–1786. 40 indexed citations
19.
Sirignano, Mariano & Andrea D’Anna. (2012). Effect of Sampling Probe Perturbation on Particle Size Distribution Functions in a Slightly Sooting Premixed Flame of Ethylene: A Modeling Study. Combustion Science and Technology. 184(7-8). 1011–1024. 3 indexed citations
20.
Minutolo, Patrizia, Lee Anne Sgro, Maria Antonietta Costagliola, et al.. (2010). Ultrafine Particle Emission from Combustion Devices Burning Natural Gas. SHILAP Revista de lepidopterología. 4 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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