Daniele Cassani

1.0k total citations
40 papers, 655 citations indexed

About

Daniele Cassani is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Daniele Cassani has authored 40 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Applied Mathematics, 23 papers in Mathematical Physics and 21 papers in Computational Theory and Mathematics. Recurrent topics in Daniele Cassani's work include Nonlinear Partial Differential Equations (32 papers), Advanced Mathematical Modeling in Engineering (21 papers) and Advanced Mathematical Physics Problems (18 papers). Daniele Cassani is often cited by papers focused on Nonlinear Partial Differential Equations (32 papers), Advanced Mathematical Modeling in Engineering (21 papers) and Advanced Mathematical Physics Problems (18 papers). Daniele Cassani collaborates with scholars based in Italy, China and Brazil. Daniele Cassani's co-authors include Cristina Tarsi, Jianjun Zhang, Claudianor O. Alves, Minbo Yang, João Marcos do Ó, Federica Sani, Bernhard Ruf, Jean Van Schaftingen, Nassif Ghoussoub and Zhisu Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Daniele Cassani

37 papers receiving 612 citations

Peers

Daniele Cassani
Comparison fields: 5 of 28
  • Applied Mathematics 561
  • Mathematical Physics 377
  • Computational Theory and Mathematics 331
  • Control and Systems Engineering 50
  • Mechanics of Materials 42
Replace Leiga Zhao with:
Leiga Zhao China
Augusto C. Ponce France
Pierpaolo Esposito Italy
Fausto Ferrari Italy
Steffen Roch Germany
Frank‐Olme Speck Portugal
Hichem Hajaiej United States
Christian G. Simader Germany
Soon‐Yeong Chung South Korea
Leiga Zhao China View profile →
Citations per field, relative to Daniele Cassani
Daniele Cassani · 1×
Citations per year, relative to Daniele Cassani
Daniele Cassani · 1×

Countries citing papers authored by Daniele Cassani

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Cassani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Cassani

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Cassani. A scholar is included among the top collaborators of Daniele Cassani 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 Daniele Cassani. Daniele Cassani 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
# Work Indexed citations
1 0
2 7
3 1
4 1
5 3
6 5
7 10
8 10
9 17
10 5
11 38
12 2
13 81
14 113
15 16
16 50
17 12
18 38
19 16
20 10

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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