Francesca Papalini

964 total citations
54 papers, 693 citations indexed

About

Francesca Papalini is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Francesca Papalini has authored 54 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Applied Mathematics, 31 papers in Computational Theory and Mathematics and 16 papers in Numerical Analysis. Recurrent topics in Francesca Papalini's work include Nonlinear Differential Equations Analysis (29 papers), Advanced Mathematical Modeling in Engineering (20 papers) and Nonlinear Partial Differential Equations (16 papers). Francesca Papalini is often cited by papers focused on Nonlinear Differential Equations Analysis (29 papers), Advanced Mathematical Modeling in Engineering (20 papers) and Nonlinear Partial Differential Equations (16 papers). Francesca Papalini collaborates with scholars based in Italy, Greece and Ecuador. Francesca Papalini's co-authors include Cristina Marcelli, Nikolaos S. Papageorgiou, Giacomo Desantis, Vincenzo Bronte, Francesca Simonato, Serena Zilio, Stefano Ugel, Tiziana Cardinali, Giovanni Cupini and Νικόλαος Παπαγεωργίου and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Vaccine.

In The Last Decade

Francesca Papalini

49 papers receiving 662 citations

Peers

Francesca Papalini
Comparison fields: 5 of 80
  • Applied Mathematics 305
  • Immunology 216
  • Computational Theory and Mathematics 187
  • Numerical Analysis 127
  • Oncology 117
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Citations per field, relative to Francesca Papalini
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Citations per year, relative to Francesca Papalini
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Countries citing papers authored by Francesca Papalini

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Papalini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Papalini

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Papalini. A scholar is included among the top collaborators of Francesca Papalini 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 Papalini. Francesca Papalini 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 4
3 2
4 6
5 25
6 35
7 164
8 29
9 18
10 44
11 27
12 26
13 22
14 0
15 8
16
ON THE STRUCTURE OF THE SOLUTION SET OF EVOLUTION INCLUSIONS WITH TIME-DEPENDENT SUBDIFFERENTIALS
10
17 1
18
Convergence results for nonlinear evolution inclusions
1
19 3
20 13

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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