Francesca Pitolli

693 total citations
49 papers, 450 citations indexed

About

Francesca Pitolli is a scholar working on Computational Mechanics, Numerical Analysis and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesca Pitolli has authored 49 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Mechanics, 12 papers in Numerical Analysis and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesca Pitolli's work include Advanced Numerical Analysis Techniques (17 papers), Fractional Differential Equations Solutions (11 papers) and Iterative Methods for Nonlinear Equations (10 papers). Francesca Pitolli is often cited by papers focused on Advanced Numerical Analysis Techniques (17 papers), Fractional Differential Equations Solutions (11 papers) and Iterative Methods for Nonlinear Equations (10 papers). Francesca Pitolli collaborates with scholars based in Italy, United States and Austria. Francesca Pitolli's co-authors include Guido Altarelli, B. Mele, Erkki Somersalo, Daniela Calvetti, Barbara Vantaggi, Annalisa Pascarella, Massimo Fornasier, Walter Gautschi, Elisabetta Santi and Costanza Conti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and Expert Systems with Applications.

In The Last Decade

Francesca Pitolli

44 papers receiving 426 citations

Peers

Francesca Pitolli
Comparison fields: 5 of 59
  • Computational Mechanics 151
  • Modeling and Simulation 103
  • Numerical Analysis 97
  • Nuclear and High Energy Physics 94
  • Computer Vision and Pattern Recognition 55
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Citations per field, relative to Francesca Pitolli
Francesca Pitolli · 1×
Citations per year, relative to Francesca Pitolli
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Countries citing papers authored by Francesca Pitolli

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Pitolli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Pitolli

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Pitolli. A scholar is included among the top collaborators of Francesca Pitolli 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 Pitolli. Francesca Pitolli 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 1
3 0
4 2
5 1
6 2
7 7
8 3
9 9
10 22
11 3
12 2
13
Refinable ripplets with dilation 3
6
14
A new class of bivariate refinable functions suitable for cardinal interpolation
2
15 3
16 2
17 13
18 8
19 20
20
Refinement masks of Hurwitz type in the cardinal interpolation problem
1

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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