Francesca Da Lio

1.1k citations
31 papers · 514 · h-index 15

Impact in

Papers in

Francesca Da Lio

29 papers receiving 461 citations

Peers

Francesca Da Lio
Comparison fields: 5 of 34
  • Applied Mathematics 396
  • Computational Theory and Mathematics 275
  • Modeling and Simulation 71
  • Mathematical Physics 118
  • Finance 85
Replace Nicoletta Tchou with:
Nicoletta Tchou France
Maciej Kocan Australia
Olivier Alvarez France
Hiroyoshi Mitake Japan
Zhen-Qing Chen United States
Mateusz Kwaśnicki Poland
Moritz Kaßmann Germany
Jiagang Ren China
M. V. Safonov United States
Annalisa Cesaroni Italy
Francesca Da Lio relative to Nicoletta Tchou France Nicoletta Tchou's profile →
Citations per field
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Nicoletta Tchou · 1×
Citations per year

Countries citing papers authored by Francesca Da Lio

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Da Lio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Francesca Da Lio, 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 Da Lio Line = papers co-authored together Francesca Da Lio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199972
2 200346
3 200644
4 199736
5 201135
6 200428
7 200025
8 200221
9 200119
10 200818
11 201218
12 201216
13 201016
14 200316
15 200714
16 200313
17 201311
18 200510
19 20049
20 20039

About Francesca Da Lio

Francesca Da Lio is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Mathematical Physics, Control and Systems Engineering and Numerical Analysis, having authored 31 papers that have together received 514 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (22 papers), Advanced Mathematical Modeling in Engineering (13 papers), Geometric Analysis and Curvature Flows (9 papers), Advanced Mathematical Physics Problems (6 papers), Advanced Harmonic Analysis Research (5 papers), Stochastic processes and financial applications (4 papers), Stability and Controllability of Differential Equations (4 papers) and Differential Equations and Numerical Methods (4 papers). The work is most often cited by research in Applied Mathematics (396 citations), Computational Theory and Mathematics (275 citations), Modeling and Simulation (71 citations), Mathematical Physics (118 citations) and Finance (85 citations). Francesca Da Lio has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Martino Bardi, Guy Barles, Olivier Ley, Tristan Rivière, Armin Schikorra, Nicolas Forcadel, Régis Monneau, Dejan Slepčev, Alessandra Cutrı̀ and Annamaria Montanari. Their work appears in journals such as Applied Mathematics & Optimization, Annales de l Institut Henri Poincaré C Analyse Non Linéaire, Calculus of Variations and Partial Differential Equations, SIAM Journal on Control and Optimization and Journal of the European Mathematical Society.

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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