Daniela Siano

63 papers receiving 686 citations

Peers

Daniela Siano
Comparison fields: 5 of 64
  • Fluid Flow and Transfer Processes 390
  • Automotive Engineering 290
  • Computational Mechanics 239
  • Aerospace Engineering 133
  • Control and Systems Engineering 123
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Héctor Climent Spain
Stefano d’Ambrosio Italy
Antonio Mittica Italy
Changlu Zhao China
Mostafa Mirsalim Iran
Halit Yaşar Türkiye
Farong Du China
Masri B. Baharom Malaysia
Andrea Catania Italy
Wensheng Zhao China
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Countries citing papers authored by Daniela Siano

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Siano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Siano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Siano Line = papers co-authored together Daniela Siano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201840
2 201640
3 201540
4 201736
5 201435
6 200933
7 201033
8 200432
9 201328
10 201224
11 201319
12 200718
13 201218
14 201517
15 201017
16 201617
17 201716
18 201415
19 201414
20 200513

About Daniela Siano

Daniela Siano is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes, Aerospace Engineering, Biomedical Engineering and Computational Mechanics, having authored 65 papers that have together received 719 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (35 papers), Vehicle Noise and Vibration Control (22 papers), Vehicle emissions and performance (18 papers), Combustion and flame dynamics (18 papers), Acoustic Wave Phenomena Research (17 papers), Aerodynamics and Fluid Dynamics Research (12 papers), Hydraulic and Pneumatic Systems (10 papers) and Engineering Applied Research (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (390 citations), Automotive Engineering (290 citations), Computational Mechanics (239 citations), Aerospace Engineering (133 citations) and Control and Systems Engineering (123 citations). Daniela Siano has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Fabio Bozza, Alfredo Gimelli, Diana D’Agostino, Vincenzo De Bellis, Massimo Viscardi, Adolfo Senatore, Emma Frosina, Gerardo Valentino, Dario Buono and Luca Marchitto. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, SAE International Journal of Engines, International Journal of Vehicle Noise and Vibration, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering and Simulation Modelling Practice and Theory.

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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