Francesca De Marchis

21 papers and 273 indexed citations i.

About

Francesca De Marchis is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Francesca De Marchis has authored 21 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Applied Mathematics, 17 papers in Computational Theory and Mathematics and 5 papers in Mathematical Physics. Recurrent topics in Francesca De Marchis’s work include Nonlinear Partial Differential Equations (20 papers), Advanced Mathematical Modeling in Engineering (17 papers) and Optimal Transport in Geometry and Analysis (9 papers). Francesca De Marchis is often cited by papers focused on Nonlinear Partial Differential Equations (20 papers), Advanced Mathematical Modeling in Engineering (17 papers) and Optimal Transport in Geometry and Analysis (9 papers). Francesca De Marchis collaborates with scholars based in Italy, Spain and France. Francesca De Marchis's co-authors include Daniele Bartolucci, Isabella Ianni, Filomena Pacella, Andrea Malchiodi, Massimo Grossi, David Ruiz, Luca Martinazzi and Teresa D’Aprile and has published in prestigious journals such as Inventiones mathematicae, Archive for Rational Mechanics and Analysis and Journal of Mathematical Physics.

In The Last Decade

Co-authorship network of co-authors of Francesca De Marchis i

Fields of papers citing papers by Francesca De Marchis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesca De Marchis

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025