M. Padula

415 citations
21 papers · 229 indexed · h-index 10

M. Padula

19 papers receiving 207 citations

Peers

M. Padula
Comparison fields: 5 of 22
  • Applied Mathematics 190
  • Mathematical Physics 81
  • Computational Theory and Mathematics 80
  • Computational Mechanics 88
  • Control and Systems Engineering 76
Replace Matthias Kotschote with:
Matthias Kotschote Germany
Mikhail V. Korobkov Russia
Jörg Wolf South Korea
Takeyuki Nagasawa Japan
Naoto Tanaka Japan
Philip Isett United States
Mark Steinhauer Germany
Xiaoding Shi China
Petr Kaplický Czechia
Francesca Crispo Italy
M. Padula relative to Matthias Kotschote Germany Matthias Kotschote's profile →
Citations per field
00.5×3.2×
Matthias Kotschote · 1×
Citations per year

Countries citing papers authored by M. Padula

Since Specialization
Citations

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

Fields of papers citing papers by M. Padula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside M. Padula, 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. Padula Line = papers co-authored together M. Padula links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20111
2 201121
3 201013
4 200816
5 20060
6 20053
7 20042
8 20032
9 20033
10 200215
11 20015
12 200014
13 199942
14 19972
15 19978
16 199611
17 19962
18 199528
19
EXISTENCE OF STEADY INCOMPRESSIBLE FLOWS PAST AN OBSTACLE(Mathematical Analysis of Phenomena in Fluid and Plasma Dynamics)
19913
20 199022

About M. Padula

M. Padula is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Computational Mechanics, having authored 21 papers that have together received 229 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (14 papers), Stability and Controllability of Differential Equations (9 papers), Advanced Mathematical Modeling in Engineering (7 papers), Fluid Dynamics and Turbulent Flows (5 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Advanced Mathematical Physics Problems (3 papers), Advanced Numerical Methods in Computational Mathematics (2 papers) and Elasticity and Material Modeling (1 paper). The work is most often cited by research in Applied Mathematics (190 citations), Mathematical Physics (81 citations) and Computational Theory and Mathematics (80 citations). M. Padula has collaborated with scholars based in Italy, France and Russia. Frequent co-authors include V. A. Solonnikov, Paolo Maremonti, Antonín Novotný, Giovanni P. Galdi, Κ. R. Rajagopal, П. И. Плотников, Milan Pokorný, Konstantin Pileckas, Patrick Penel and Markus Bause. Their work appears in journals such as Journal of Mathematical Fluid Mechanics, Siberian Mathematical Journal, Applied Physics Letters, Differential and Integral Equations and Pacific Journal of Mathematics.

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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