Roberto Esposito

50 papers and 312 indexed citations i.

About

Roberto Esposito is a scholar working on Artificial Intelligence, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Roberto Esposito has authored 50 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Sociology and Political Science and 5 papers in Molecular Biology. Recurrent topics in Roberto Esposito’s work include Stochastic Gradient Optimization Techniques (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Data Mining Algorithms and Applications (3 papers). Roberto Esposito is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Data Mining Algorithms and Applications (3 papers). Roberto Esposito collaborates with scholars based in Italy, Germany and France. Roberto Esposito's co-authors include Simon R. Rüegg, Giuseppe Ermondi, Barbara Häsler, Giulia Caron, Massimo Canali, Maurizio Aragrande, Alessia Visconti, Marco Botta, Timothy Campbell and Davide Cavagnino and has published in prestigious journals such as The Lancet, IEEE Access and Information Sciences.

In The Last Decade

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

Fields of papers citing papers by Roberto Esposito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roberto Esposito

Since Specialization
Citations

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