Mario Pavone

35 papers and 336 indexed citations i.

About

Mario Pavone is a scholar working on Biomedical Engineering, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Mario Pavone has authored 35 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 11 papers in Molecular Biology and 10 papers in Artificial Intelligence. Recurrent topics in Mario Pavone’s work include Artificial Immune Systems Applications (15 papers), Metaheuristic Optimization Algorithms Research (7 papers) and vaccines and immunoinformatics approaches (6 papers). Mario Pavone is often cited by papers focused on Artificial Immune Systems Applications (15 papers), Metaheuristic Optimization Algorithms Research (7 papers) and vaccines and immunoinformatics approaches (6 papers). Mario Pavone collaborates with scholars based in Italy, Mexico and France. Mario Pavone's co-authors include Vincenzo Cutello, Giuseppe Nicosia, Jon Timmis, Carlos A. Coello Coello, Giuseppe Narzisi, Stephanie Forrest, Kalyanmoy Deb, Bita Shadgar, Alireza Osareh and Salvatore Greco and has published in prestigious journals such as Nucleic Acids Research, IEEE Transactions on Evolutionary Computation and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Mario Pavone i

Fields of papers citing papers by Mario Pavone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Pavone

Since Specialization
Citations

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