Riccardo Molle

707 citations
49 papers · 431 indexed · h-index 12
Topics
Nonlinear Partial Differential Equations (46 papers)Advanced Mathematical Modeling in Engineering (39 papers)Advanced Mathematical Physics Problems (16 papers)
Partner nations
ItalyChileGermany

In The Last Decade

Riccardo Molle

46 papers receiving 413 citations

Peers

Riccardo Molle
Comparison fields: 5 of 14
  • Applied Mathematics 405
  • Computational Theory and Mathematics 262
  • Mathematical Physics 238
  • Control and Systems Engineering 38
  • Numerical Analysis 31
Replace Monica Lazzo with:
Monica Lazzo Italy
Dongdong Qin China
Yavdat Il’yasov Russia
Francesco Petitta Italy
N. V. Krylov United States
Hicham Redwane Morocco
Stanislas Ouaro Burkina Faso
Xian Wu China
Hossein Tehrani United States
Jijiang Sun China
Riccardo Molle relative to Monica Lazzo Italy Monica Lazzo's profile →
Citations per field
00.5×3.3×
Monica Lazzo · 1×
Citations per year

Countries citing papers authored by Riccardo Molle

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Molle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Molle

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Molle. A scholar is included among the top collaborators of Riccardo Molle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Riccardo Molle. Riccardo Molle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 69
6 1
7 15
8 1
9 2
10 12
11 3
12 11
13 2
14 2
15 8
16 6
17 7
18 15
19 11
20 9

About Riccardo Molle

Riccardo Molle is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 49 papers that have together received 431 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (46 papers), Advanced Mathematical Modeling in Engineering (39 papers) and Advanced Mathematical Physics Problems (16 papers). The work is most often cited by research in Applied Mathematics (405 citations), Mathematical Physics (238 citations) and Computational Theory and Mathematics (262 citations). Riccardo Molle has collaborated with scholars based in Italy, Chile and Germany. Frequent co-authors include Donato Passaseo, Giovanna Cerami, Gianmaria Verzini, Thomas Bartsch, Matteo Rizzi, Massimo Grossi, Angela Pistoia, Monica Musso and Xiao Luo. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications 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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