M. Briscolini

468 citations
12 papers · 353 · h-index 9

Impact in

Papers in

    • Fluid Dynamics and Turbulent Flows 7
    • Lattice Boltzmann Simulation Studies 2
    • Computational Fluid Dynamics and Aerodynamics 2
    • Meteorological Phenomena and Simulations 4
    • Tropical and Extratropical Cyclones Research 2

M. Briscolini

12 papers receiving 337 citations

Peers

M. Briscolini
Comparison fields: 5 of 51
  • Computational Mechanics 213
  • Atmospheric Science 117
  • Oceanography 77
  • Astronomy and Astrophysics 87
  • Environmental Engineering 55
Replace R. R. Trieling with:
R. R. Trieling Netherlands
S. M. Churilov Russia
I. G. Shukhman Russia
R.A. Trompert Netherlands
A. Babiano France
Cristian C. Lalescu United States
Andrei V. Malevsky United States
Ragnar Fjørtoft Denmark
Frank B. Lipps United States
D. Marteau France
M. Briscolini relative to R. R. Trieling Netherlands R. R. Trieling's profile →
Citations per field
00.5×1.5×
R. R. Trieling · 1×
Citations per year

Countries citing papers authored by M. Briscolini

Since Specialization
Citations

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

Fields of papers citing papers by M. Briscolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside M. Briscolini, 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 M. Briscolini Line = papers co-authored together M. Briscolini links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 199286
2 199051
3 198943
4 200142
5 199442
6 198835
7 199422
8 198813
9 19889
10 19956
11 19913
12
DIRECT SIMULATION OF BURGULENCE.
19841

About M. Briscolini

M. Briscolini is a scholar working on Computational Mechanics, Atmospheric Science, Oceanography, Computer Graphics and Computer-Aided Design and Astronomy and Astrophysics, having authored 12 papers that have together received 353 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (7 papers), Meteorological Phenomena and Simulations (4 papers), Oceanographic and Atmospheric Processes (3 papers), Lattice Boltzmann Simulation Studies (2 papers), Computer Graphics and Visualization Techniques (2 papers), Tropical and Extratropical Cyclones Research (2 papers), Computational Fluid Dynamics and Aerodynamics (2 papers) and Geological formations and processes (1 paper). The work is most often cited by research in Computational Mechanics (213 citations), Atmospheric Science (117 citations), Oceanography (77 citations), Astronomy and Astrophysics (87 citations) and Environmental Engineering (55 citations). M. Briscolini has collaborated with scholars based in Italy and United States. Frequent co-authors include P. Santangelo, Roberto Benzi, G. F. Carnevale, Sauro Succi, Paolo Orlandi, Geoffrey K. Vallis, F. Romanelli and M. Ottaviani. Their work appears in journals such as Journal of Fluid Mechanics, Geophysical & Astrophysical Fluid Dynamics, IBM Journal of Research and Development, Parallel Computing and Journal of Computational Physics.

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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