Francesca Papalini

964 citations
54 papers · 693 indexed · h-index 14

Francesca Papalini

49 papers receiving 662 citations

Peers

Francesca Papalini
Comparison fields: 5 of 80
  • Applied Mathematics 305
  • Numerical Analysis 127
  • Computational Theory and Mathematics 187
  • Immunology 216
  • Modeling and Simulation 31
Replace Eva Matoušková with:
Eva Matoušková Czechia
Masato Iida Japan
Giovanni Emmanuele Italy
Taeko Yamazaki Japan
Peipei Shang China
Jian‐Wen Sun China
Bingmei Liu China
Seiichiro Wakabayashi Japan
Zijian Liu China
A. Ichikawa Japan
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Citations per field
00.5×10×15.5×
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Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20220
2 20204
3 20202
4 20186
5 201125
6 201135
7 2009164
8 200929
9 200918
10 200744
11 200727
12 200526
13 200522
14 20030
15 20028
16
ON THE STRUCTURE OF THE SOLUTION SET OF EVOLUTION INCLUSIONS WITH TIME-DEPENDENT SUBDIFFERENTIALS
199710
17 19971
18
Convergence results for nonlinear evolution inclusions
19951
19 19953
20 199413

About Francesca Papalini

Francesca Papalini is a scholar working on Applied Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 54 papers that have together received 693 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (29 papers), Advanced Mathematical Modeling in Engineering (20 papers), Nonlinear Partial Differential Equations (16 papers), Differential Equations and Numerical Methods (15 papers), Optimization and Variational Analysis (11 papers), Stability and Controllability of Differential Equations (11 papers), Differential Equations and Boundary Problems (10 papers) and Contact Mechanics and Variational Inequalities (8 papers). The work is most often cited by research in Applied Mathematics (305 citations), Numerical Analysis (127 citations) and Computational Theory and Mathematics (187 citations). Francesca Papalini has collaborated with scholars based in Italy, Greece and Ecuador. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Vaccine.

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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