Francesco Solombrino

577 citations
35 papers · 290 indexed · h-index 8

Francesco Solombrino

31 papers receiving 272 citations

Peers

Francesco Solombrino
Comparison fields: 5 of 52
  • Modeling and Simulation 55
  • Applied Mathematics 60
  • Computational Theory and Mathematics 82
  • Statistical and Nonlinear Physics 34
  • Mathematical Physics 24
Replace Jun Shen with:
Jun Shen China
Yongkui Zou China
Changfeng Xue China
Antonio Segatti Italy
Fengxin Chen China
Yusif S. Gasimov Azerbaijan
Guang‐an Zou China
Bandar Bin‐Mohsin Saudi Arabia
Trygve K. Karper Norway
Francesco Solombrino relative to Jun Shen China Jun Shen's profile →
Citations per field
00.5×2.8×
Jun Shen · 1×
Citations per year

Countries citing papers authored by Francesco Solombrino

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Solombrino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Francesco Solombrino, 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 Francesco Solombrino Line = papers co-authored together Francesco Solombrino links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20235
4 20232
5 20232
6 20233
7 20231
8 20234
9 20233
10 20227
11 20222
12 20214
13 20207
14 20205
15 20194
16 201912
17 20171
18 20136
19 20115
20 201049

About Francesco Solombrino

Francesco Solombrino is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Applied Mathematics, having authored 35 papers that have together received 290 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (13 papers), Elasticity and Material Modeling (9 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Nonlinear Partial Differential Equations (6 papers), Numerical methods in engineering (6 papers), Mathematical Biology Tumor Growth (5 papers), Composite Material Mechanics (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). The work is most often cited by research in Modeling and Simulation (55 citations), Applied Mathematics (60 citations) and Computational Theory and Mathematics (82 citations). Francesco Solombrino has collaborated with scholars based in Italy, Germany and Austria. Frequent co-authors include Massimo Fornasier, Antonio DeSimone, Gianni Dal Maso, Francesco Rossi, Marco Cicalese, Marco Morandotti, Giacomo Albi, Andrea Braides, Riccardo March and Bianca Stroffolini. Their work appears in journals such as Archive for Rational Mechanics and Analysis, Journal of Differential Equations and SIAM Journal on Optimization.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026