R. Piva

1.3k citations
45 papers · 958 · h-index 15

Impact in

Papers in

    • Fluid Dynamics and Turbulent Flows 28
    • Fluid Dynamics and Vibration Analysis 12
    • Computational Fluid Dynamics and Aerodynamics 8
    • Fluid Dynamics and Thin Films 5
    • Plant Water Relations and Carbon Dynamics 8

R. Piva

44 papers receiving 917 citations

Peers

R. Piva
Comparison fields: 5 of 62
  • Computational Mechanics 804
  • Fluid Flow and Transfer Processes 190
  • Environmental Engineering 173
  • Ocean Engineering 167
  • Aerospace Engineering 167
Replace C. C. Landreth with:
C. C. Landreth United States
Rayhaneh Akhavan United States
F. E. Fendell United States
Elisabetta De Angelis Italy
David Dennis United Kingdom
Kiyosi Horiuti Japan
M. T. Landahl United States
N. V. Nikitin Russia
Toshio Miyauchi Japan
Zhen‐Hua Wan China
R. Piva relative to C. C. Landreth United States C. C. Landreth's profile →
Citations per field
00.5×3.1×
C. C. Landreth · 1×
Citations per year

Countries citing papers authored by R. Piva

Since Specialization
Citations

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

Fields of papers citing papers by R. Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002121
2 1995104
3 200488
4 199975
5 200570
6 198360
7 198256
8 200256
9 200536
10 200631
11 200729
12 200720
13 198020
14 199518
15 199517
16 202114
17 200112
18 199112
19 201311
20 199911

About R. Piva

R. Piva is a scholar working on Computational Mechanics, Global and Planetary Change, Environmental Engineering, Ocean Engineering and Mechanical Engineering, having authored 45 papers that have together received 958 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (28 papers), Fluid Dynamics and Vibration Analysis (12 papers), Plant Water Relations and Carbon Dynamics (8 papers), Wind and Air Flow Studies (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Particle Dynamics in Fluid Flows (5 papers), Fluid Dynamics and Thin Films (5 papers) and Heat Transfer Mechanisms (4 papers). The work is most often cited by research in Computational Mechanics (804 citations), Fluid Flow and Transfer Processes (190 citations), Environmental Engineering (173 citations), Ocean Engineering (167 citations) and Aerospace Engineering (167 citations). R. Piva has collaborated with scholars based in Italy, United States and Norway. Frequent co-authors include Carlo Massimo Casciola, Elisabetta De Angelis, Roberto Benzi, G. Graziani, P. Gualtieri, Giorgio Amati, Giorgio Riccardi, Sauro Succi, Maurizio Di Giacinto and F. Sabetta. Their work appears in journals such as Journal of Fluid Mechanics, Physics of Fluids, Computational Mechanics, Meccanica and Fluid Dynamics Research.

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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