Elvira Mascolo

1.0k citations
46 papers · 716 indexed · h-index 16
Topics
Nonlinear Partial Differential Equations (38 papers)Advanced Mathematical Modeling in Engineering (33 papers)Nonlinear Differential Equations Analysis (9 papers)
Partner nations
ItalyNetherlands

In The Last Decade

Elvira Mascolo

42 papers receiving 623 citations

Peers

Elvira Mascolo
Comparison fields: 5 of 23
  • Applied Mathematics 661
  • Computational Theory and Mathematics 617
  • Mathematical Physics 279
  • Control and Systems Engineering 69
  • Geometry and Topology 42
Replace Francesco Leonetti with:
Francesco Leonetti Italy
Igor I. Skrypnik Ukraine
Anna Mercaldo Italy
Giovanni Cupini Italy
Ilaria Fragalà Italy
Lucio Damascelli Italy
Sebastian Schwarzacher Czechia
Shigeru Sakaguchi Japan
Marcelo F. Furtado Brazil
Donato Passaseo Italy
Elvira Mascolo relative to Francesco Leonetti Italy Francesco Leonetti's profile →
Citations per field
00.5×1.5×
Francesco Leonetti · 1×
Citations per year

Countries citing papers authored by Elvira Mascolo

Since Specialization
Citations

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

Fields of papers citing papers by Elvira Mascolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elvira Mascolo

This figure shows the co-authorship network connecting the top 25 collaborators of Elvira Mascolo. A scholar is included among the top collaborators of Elvira Mascolo 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 Elvira Mascolo. Elvira Mascolo 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 2
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6 12
7 5
8 22
9 15
10 29
11 3
12 12
13 11
14 36
15 6
16 45
17
L^infty estimates for a class of nonlinear elliptic systems with nonstandard growth
0
18
Gradient regularity for minimizers of functionals under $p$-$q$ subquadratic growth
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19 23
20 3

About Elvira Mascolo

Elvira Mascolo is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 46 papers that have together received 716 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (38 papers), Advanced Mathematical Modeling in Engineering (33 papers) and Nonlinear Differential Equations Analysis (9 papers). The work is most often cited by research in Applied Mathematics (661 citations), Computational Theory and Mathematics (617 citations) and Mathematical Physics (279 citations). Elvira Mascolo has collaborated with scholars based in Italy and Netherlands. Frequent co-authors include Paolo Marcellini, Giovanni Cupini, Michela Eleuteri, Francesco Leonetti, Ludovico Migliaccio, Matteo Focardi, Antonia Passarelli di Napoli, Stefano Biagi, Irene Benedetti and Micòl Amar. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Archive for Rational Mechanics and Analysis.

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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