Francesco Mariani

816 total citations
57 papers, 641 citations indexed

About

Francesco Mariani is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics. According to data from OpenAlex, Francesco Mariani has authored 57 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Fluid Flow and Transfer Processes, 18 papers in Automotive Engineering and 18 papers in Computational Mechanics. Recurrent topics in Francesco Mariani's work include Advanced Combustion Engine Technologies (36 papers), Vehicle emissions and performance (14 papers) and Combustion and flame dynamics (14 papers). Francesco Mariani is often cited by papers focused on Advanced Combustion Engine Technologies (36 papers), Vehicle emissions and performance (14 papers) and Combustion and flame dynamics (14 papers). Francesco Mariani collaborates with scholars based in Italy, Poland and United States. Francesco Mariani's co-authors include Carlo N. Grimaldi, Michele Battistoni, Federico Ricci, Valentino Cruccolini, Jacopo Zembi, Gabriele Discepoli, Alessandro Mariani, Lorenzo Scappaticci, Adrian Irimescu and Lucio Postrioti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Fuel.

In The Last Decade

Francesco Mariani

56 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Mariani Italy 16 420 287 167 156 105 57 641
Carlo N. Grimaldi Italy 21 906 2.2× 521 1.8× 300 1.8× 312 2.0× 221 2.1× 79 1.2k
Matteo De Cesare Italy 16 625 1.5× 281 1.0× 417 2.5× 117 0.8× 54 0.5× 85 832
Andreas Wimmer Austria 14 414 1.0× 232 0.8× 200 1.2× 132 0.8× 56 0.5× 69 646
Enrico Corti Italy 19 716 1.7× 421 1.5× 386 2.3× 139 0.9× 95 0.9× 100 945
Nicolò Cavina Italy 19 790 1.9× 305 1.1× 623 3.7× 138 0.9× 185 1.8× 112 1.2k
Amir H. Shamekhi Iran 17 591 1.4× 248 0.9× 412 2.5× 83 0.5× 76 0.7× 73 954
Zongyu Yue China 18 701 1.7× 508 1.8× 281 1.7× 150 1.0× 50 0.5× 53 941
Pau Bares Spain 17 509 1.2× 263 0.9× 406 2.4× 85 0.5× 109 1.0× 61 728
Gian Marco Bianchi Italy 22 1.1k 2.7× 899 3.1× 423 2.5× 314 2.0× 85 0.8× 122 1.4k
K. Dean Edwards United States 20 679 1.6× 489 1.7× 402 2.4× 129 0.8× 73 0.7× 46 949

Countries citing papers authored by Francesco Mariani

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Mariani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Mariani

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Mariani. A scholar is included among the top collaborators of Francesco Mariani 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 Francesco Mariani. Francesco Mariani 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
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Ricci, Federico, et al.. (2023). NARX Technique to Predict Torque in Internal Combustion Engines. Information. 14(7). 417–417. 9 indexed citations
4.
Ricci, Federico, et al.. (2023). Investigation of a Hybrid LSTM + 1DCNN Approach to Predict In-Cylinder Pressure of Internal Combustion Engines. Information. 14(9). 507–507. 6 indexed citations
5.
Ricci, Federico, et al.. (2023). Using a Machine Learning Approach to Evaluate the NOx Emissions in a Spark-Ignition Optical Engine. Information. 14(4). 224–224. 7 indexed citations
6.
Ricci, Federico, et al.. (2023). Hybrid LSTM + 1DCNN Approach to Forecasting Torque Internal Combustion Engines. SHILAP Revista de lepidopterología. 5(3). 1104–1117. 3 indexed citations
7.
Zembi, Jacopo, Michele Battistoni, Francesco Mariani, et al.. (2022). Investigations on the impact of port water injection on soot formation in a DISI engine through CFD simulations and optical methods. Fuel. 337. 127170–127170. 11 indexed citations
8.
Zembi, Jacopo, Francesco Mariani, Michele Battistoni, Adrian Irimescu, & Simona Silvia Merola. (2021). Numerical Investigation of Water Injection Effects on Flame Wrinkling and Combustion Development in a GDI Spark Ignition Optical Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 6 indexed citations
9.
Zembi, Jacopo, Francesco Mariani, & Michele Battistoni. (2019). Large Eddy Simulation of Ignition and Combustion Stability in a Lean SI Optical Access Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 18 indexed citations
10.
Discepoli, Gabriele, Valentino Cruccolini, Jacopo Zembi, et al.. (2018). Experimental assessment of spark and corona igniters energy release. Energy Procedia. 148. 1262–1269. 19 indexed citations
11.
Mariani, Francesco, et al.. (2016). Numerical study of the separation efficiency and heat exchange performance in a complex gas–solid separator. International Journal of Computational Methods and Experimental Measurements. 4(2). 142–152. 5 indexed citations
12.
Mariani, Francesco, et al.. (2016). Spoilers Optimization to Reduce the Induced Stresses on a Racing Helmet. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
13.
Battistoni, Michele, et al.. (2015). Combustion CFD Modeling of a Spark Ignited Optical Access Engine Fueled with Gasoline and Ethanol. Energy Procedia. 82. 424–431. 30 indexed citations
14.
Risitano, Giacomo, Lorenzo Scappaticci, Carlo N. Grimaldi, & Francesco Mariani. (2012). Analysis of the Structural Behavior of Racing Motorcycle Swingarms. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
15.
Mariani, Francesco, et al.. (2012). Experimental and numerical momentum flux evaluation of high pressure Diesel spray. Fuel. 98. 149–163. 36 indexed citations
16.
Mariani, Francesco, et al.. (2012). Artificial Intelligence Methodologies for Oxygen Virtual Sensing at Diesel Engine Intake. SAE technical papers on CD-ROM/SAE technical paper series. 6 indexed citations
17.
Battistoni, Michele & Francesco Mariani. (2009). Fluid Dynamic Study of Unthrottled Part Load SI Engine Operations with Asymmetric Valve Lifts. SAE technical papers on CD-ROM/SAE technical paper series. 1. 11 indexed citations
18.
Lunghi, Piero & Francesco Mariani. (2003). Developing a new cost-efficient control strategy for an actual confectionery plant through the combined exploitation of experimental and numerical analysis. International Journal of Energy Research. 27(6). 575–588. 1 indexed citations
19.
Bidini, Gianni, Carlo N. Grimaldi, & Francesco Mariani. (2000). Experimental analysis of the actual behaviour of a natural gas fueled engine Caterpillar (CAT)-3516. Applied Thermal Engineering. 20(5). 455–470. 2 indexed citations
20.
Grimaldi, Carlo N., Piero Lunghi, & Francesco Mariani. (2000). Energy saving strategies in an actual confectionery plant. International Journal of Energy Research. 24(9). 769–777. 6 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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