F. Arpino

68 papers receiving 1.3k citations

Peers

F. Arpino
Comparison fields: 5 of 92
  • Environmental Engineering 310
  • Computational Mechanics 336
  • Health, Toxicology and Mutagenesis 160
  • Aerospace Engineering 279
  • Automotive Engineering 124
Replace Tong Zhu with:
Tong Zhu China
Akshoy Ranjan Paul India
Xianting Li China
Sagnik Mazumdar United States
Yimin Xiao China
Miroslav Jícha Czechia
Nicola Massarotti Italy
Hachimi Fellouah Canada
Furio Cascetta Italy
Marco Dell’Isola Italy
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Citations per field
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Citations per year

Countries citing papers authored by F. Arpino

Since Specialization
Citations

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

Fields of papers citing papers by F. Arpino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Arpino, 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 F. Arpino Line = papers co-authored together F. Arpino links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016127
2 202178
3 201663
4 201856
5 200652
6 201450
7 201042
8 200841
9 201441
10 201639
11 201335
12 201434
13 201432
14 202132
15 201231
16 201531
17 202130
18 202230
19 201128
20 201726

About F. Arpino

F. Arpino is a scholar working on Computational Mechanics, Environmental Engineering, Biomedical Engineering, Aerospace Engineering and Electrical and Electronic Engineering, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wind and Air Flow Studies (19 papers), Infection Control and Ventilation (10 papers), Building Energy and Comfort Optimization (9 papers), Aerodynamics and Fluid Dynamics Research (8 papers), Nanofluid Flow and Heat Transfer (8 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Advancements in Solid Oxide Fuel Cells (8 papers) and Computational Fluid Dynamics and Aerodynamics (8 papers). The work is most often cited by research in Environmental Engineering (310 citations), Computational Mechanics (336 citations), Health, Toxicology and Mutagenesis (160 citations), Aerospace Engineering (279 citations) and Automotive Engineering (124 citations). F. Arpino has collaborated with scholars based in Italy, Australia and United Kingdom. Frequent co-authors include Nicola Massarotti, G. Cortellessa, Alessandro Mauro, Mauro Scungio, Giorgio Buonanno, Luca Stabile, Giorgio Ficco, Marco Dell’Isola, Perumal Nithiarasu and Andrea Frattolillo. Their work appears in journals such as International Journal of Numerical Methods for Heat & Fluid Flow, International Journal of Hydrogen Energy, Building and Environment, International Journal of Heat and Technology and International Journal for Numerical Methods in Engineering.

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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