Antonio De Rosa

About

Antonio De Rosa is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Antonio De Rosa has authored 28 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Applied Mathematics, 12 papers in Computational Theory and Mathematics and 7 papers in Computer Networks and Communications. Recurrent topics in Antonio De Rosa’s work include Optimal Transport in Geometry and Analysis (10 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Nonlinear Partial Differential Equations (8 papers). Antonio De Rosa is often cited by papers focused on Optimal Transport in Geometry and Analysis (10 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Nonlinear Partial Differential Equations (8 papers). Antonio De Rosa collaborates with scholars based in United States, Switzerland and Italy. Antonio De Rosa's co-authors include Guido De Philippis, Andrea Marchese, Maria Colombo, Teresa J. Bandosz, Giacomo de Falco, Marc Florent, David Bestor, Chansup Byun, Matthew Hubbell and Bill Bergeron and has published in prestigious journals such as Journal of Colloid and Interface Science, Communications on Pure and Applied Mathematics and Inventiones mathematicae.

In The Last Decade

Co-authorship network of co-authors of Antonio De Rosa i

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Fields of papers citing papers by Antonio De Rosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Antonio De Rosa

Since Specialization

Citations

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