Francesca Gladiali

694 total citations
36 papers, 341 citations indexed

About

Francesca Gladiali is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Francesca Gladiali has authored 36 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Applied Mathematics, 25 papers in Computational Theory and Mathematics and 12 papers in Mathematical Physics. Recurrent topics in Francesca Gladiali's work include Nonlinear Partial Differential Equations (33 papers), Advanced Mathematical Modeling in Engineering (25 papers) and Nonlinear Differential Equations Analysis (20 papers). Francesca Gladiali is often cited by papers focused on Nonlinear Partial Differential Equations (33 papers), Advanced Mathematical Modeling in Engineering (25 papers) and Nonlinear Differential Equations Analysis (20 papers). Francesca Gladiali collaborates with scholars based in Italy, Japan and Brazil. Francesca Gladiali's co-authors include Massimo Grossi, Lucio Damascelli, Filomena Pacella, P. N. Srikanth, Giovanni Porru, S. Berhanu, Tobias Weth, E. N. Dancer, Hiroshi Ohtsuka and Isabella Ianni and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Differential Equations and Advances in Mathematics.

In The Last Decade

Francesca Gladiali

33 papers receiving 318 citations

Peers

Francesca Gladiali
Comparison fields: 5 of 15
  • Applied Mathematics 330
  • Computational Theory and Mathematics 253
  • Mathematical Physics 128
  • Numerical Analysis 28
  • Geometry and Topology 23
Replace Christophe Troestler with:
Christophe Troestler Belgium
Manassés de Souza Brazil
Laurent Véron France
Craig Cowan Canada
Ederson Moreira dos Santos Brazil
Cristina Tarsi Italy
Marta Calanchi Italy
Barbara Brandolini Italy
Jérôme Vétois France
Yanqin Fang China
Christophe Troestler Belgium View profile →
Citations per field, relative to Francesca Gladiali
Francesca Gladiali · 1×
Citations per year, relative to Francesca Gladiali
Francesca Gladiali · 1×

Countries citing papers authored by Francesca Gladiali

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Gladiali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Gladiali

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Gladiali. A scholar is included among the top collaborators of Francesca Gladiali 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 Francesca Gladiali. Francesca Gladiali 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 0
3 0
4 5
5 1
6 4
7 3
8 8
9 9
10 4
11 13
12 2
13 1
14 5
15 44
16 28
17 2
18 6
19 1
20 8

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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