Mario Mezzanzanica

48 papers and 586 indexed citations i.

About

Mario Mezzanzanica is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Mario Mezzanzanica has authored 48 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 9 papers in Information Systems. Recurrent topics in Mario Mezzanzanica’s work include Topic Modeling (13 papers), Data Quality and Management (8 papers) and Explainable Artificial Intelligence (XAI) (7 papers). Mario Mezzanzanica is often cited by papers focused on Topic Modeling (13 papers), Data Quality and Management (8 papers) and Explainable Artificial Intelligence (XAI) (7 papers). Mario Mezzanzanica collaborates with scholars based in Italy, United States and Germany. Mario Mezzanzanica's co-authors include Fabio Mercorio, Mirko Cesarini, Roberto Boselli, Lorenzo Malandri, Emilio Colombo, Pietro Giorgio Lovaglio, Erik Cambria, Gabriella Pasi, Antonella Zambon and Luca Merlino and has published in prestigious journals such as Psychiatry Research, Applied Soft Computing and Decision Support Systems.

In The Last Decade

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

Fields of papers citing papers by Mario Mezzanzanica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Mezzanzanica

Since Specialization
Citations

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