Massimo Grossi

2.0k citations
83 papers · 1.2k · h-index 20

Impact in

Papers in

Massimo Grossi

77 papers receiving 1.1k citations

Peers

Massimo Grossi
Comparison fields: 5 of 36
  • Applied Mathematics 1.1k
  • Computational Theory and Mathematics 859
  • Mathematical Physics 469
  • Numerical Analysis 159
  • Modeling and Simulation 25
Replace J. Chabrowski with:
J. Chabrowski Australia
Stathis Filippas Greece
Leiga Zhao China
S. I. Pokhozhaev Russia
Hugo Tavares Portugal
Kazuhiro Ishige Japan
Luc Oswald France
Xuan Thinh Duong Australia
H. S. V. de Snoo Netherlands
Eugenio Montefusco Italy
Massimo Grossi relative to J. Chabrowski Australia J. Chabrowski's profile →
Citations per field
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J. Chabrowski · 1×
Citations per year

Countries citing papers authored by Massimo Grossi

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Grossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005127
2 199978
3 200069
4 200266
5 201344
6 200338
7 201036
8 201134
9 200330
10 200030
11
Some results on a class of nonlinear Schrodinger equations
200029
12 200029
13 201228
14 200028
15 201026
16 199026
17 200420
18 200620
19 201320
20 200519

About Massimo Grossi

Massimo Grossi is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Mathematical Physics, Numerical Analysis and Geometry and Topology, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (76 papers), Advanced Mathematical Modeling in Engineering (64 papers), Nonlinear Differential Equations Analysis (31 papers), Spectral Theory in Mathematical Physics (14 papers), Differential Equations and Boundary Problems (14 papers), Advanced Mathematical Physics Problems (14 papers), Numerical methods in inverse problems (9 papers) and Differential Equations and Numerical Methods (5 papers). The work is most often cited by research in Applied Mathematics (1.1k citations), Computational Theory and Mathematics (859 citations), Mathematical Physics (469 citations), Numerical Analysis (159 citations) and Modeling and Simulation (25 citations). Massimo Grossi has collaborated with scholars based in Italy, Japan and India. Frequent co-authors include Angela Pistoia, Francesca Gladiali, Filomena Pacella, Pierpaolo Esposito, Adimurthi, Lucio Damascelli, Juncheng Wei, Khalil El Mehdi, Futoshi Takahashi and Mohamed Ben Ayed. Their work appears in journals such as Annales de l Institut Henri Poincaré C Analyse Non Linéaire, Calculus of Variations and Partial Differential Equations, Journal of Functional Analysis, Differential and Integral Equations and Journal of Differential Equations.

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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