Francesca Da Lio

37 papers and 726 indexed citations i.

About

Francesca Da Lio is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Francesca Da Lio has authored 37 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Applied Mathematics, 24 papers in Computational Theory and Mathematics and 12 papers in Mathematical Physics. Recurrent topics in Francesca Da Lio’s work include Nonlinear Partial Differential Equations (30 papers), Advanced Mathematical Modeling in Engineering (20 papers) and Optimal Transport in Geometry and Analysis (9 papers). Francesca Da Lio is often cited by papers focused on Nonlinear Partial Differential Equations (30 papers), Advanced Mathematical Modeling in Engineering (20 papers) and Optimal Transport in Geometry and Analysis (9 papers). Francesca Da Lio collaborates with scholars based in Italy, Switzerland and France. Francesca Da Lio's co-authors include Martino Bardi, Guy Barles, Tristan Rivière, Olivier Ley, Boyan Sirakov, Luca Martinazzi, Armin Schikorra, Nicolas Forcadel, Régis Monneau and Panagiotis E. Souganidis and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Archive for Rational Mechanics and Analysis and Advances in Mathematics.

In The Last Decade

Co-authorship network of co-authors of Francesca Da Lio i

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.

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).

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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