Massimo Esposito

98 papers and 1.5k indexed citations i.

About

Massimo Esposito is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Massimo Esposito has authored 98 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 9 papers in Sociology and Political Science. Recurrent topics in Massimo Esposito’s work include Topic Modeling (23 papers), Natural Language Processing Techniques (12 papers) and Context-Aware Activity Recognition Systems (10 papers). Massimo Esposito is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (12 papers) and Context-Aware Activity Recognition Systems (10 papers). Massimo Esposito collaborates with scholars based in Italy, Japan and India. Massimo Esposito's co-authors include Giuseppe De Pietro, Marco Pota, Hamido Fujita, Rosario Catelli, Aniello Minutolo, Umberto Maniscalco, Ciro Mennella, Jean‐Louis Reyss, Jean‐Jacques Jaeger and Valentina Casola and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Massimo Esposito i

Fields of papers citing papers by Massimo Esposito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Esposito

Since Specialization
Citations

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