Mario Cataldi

10 papers and 97 indexed citations i.

About

Mario Cataldi is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Mario Cataldi has authored 10 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Mario Cataldi’s work include Complex Network Analysis Techniques (3 papers), Recommender Systems and Techniques (3 papers) and Natural Language Processing Techniques (3 papers). Mario Cataldi is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Recommender Systems and Techniques (3 papers) and Natural Language Processing Techniques (3 papers). Mario Cataldi collaborates with scholars based in Italy, France and United States. Mario Cataldi's co-authors include Marie-Aude Aufaure, Claudio Schifanella, Luigi Di, Andrea Ballatore, Ilaria Tiddi, K. Selçuk Candan, Maria Luisa Sapino, Emmanuel Viennet, Alberto Laddomada and Stefano Cappai and has published in prestigious journals such as Scientometrics, Small Ruminant Research and Knowledge and Information Systems.

In The Last Decade

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

Fields of papers citing papers by Mario Cataldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Cataldi

Since Specialization
Citations

This map shows the geographic impact of Mario Cataldi'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 Cataldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Cataldi 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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2025