Mario De Florio

18 papers and 382 indexed citations i.

About

Mario De Florio is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Mario De Florio has authored 18 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 7 papers in Electrical and Electronic Engineering and 4 papers in Materials Chemistry. Recurrent topics in Mario De Florio’s work include Model Reduction and Neural Networks (13 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers) and Thermal properties of materials (4 papers). Mario De Florio is often cited by papers focused on Model Reduction and Neural Networks (13 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers) and Thermal properties of materials (4 papers). Mario De Florio collaborates with scholars based in United States, Italy and United Kingdom. Mario De Florio's co-authors include Roberto Furfaro, Enrico Schiassi, Daniele Mortari, B. D. Ganapol, Carl Leake, Hunter Johnston, George Em Karniadakis, Khemraj Shukla, D. Mostacci and Francesco Calabrò and has published in prestigious journals such as Journal of Hydrology, Energy Conversion and Management and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Mario De Florio i

Fields of papers citing papers by Mario De Florio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario De Florio

Since Specialization
Citations

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