Paolo Rosso

187 papers and 3.2k indexed citations i.

About

Paolo Rosso is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Paolo Rosso has authored 187 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 159 papers in Artificial Intelligence, 52 papers in Information Systems and 26 papers in Sociology and Political Science. Recurrent topics in Paolo Rosso’s work include Topic Modeling (83 papers), Natural Language Processing Techniques (65 papers) and Sentiment Analysis and Opinion Mining (39 papers). Paolo Rosso is often cited by papers focused on Topic Modeling (83 papers), Natural Language Processing Techniques (65 papers) and Sentiment Analysis and Opinion Mining (39 papers). Paolo Rosso collaborates with scholars based in Spain, Italy and Mexico. Paolo Rosso's co-authors include Antonio Reyes, Alberto Barrón‐Cedeño, Manuel Montes-y-Gómez, Tony Veale, Benno Stein, Francisco Rangel, Bilal Ghanem, Martin Potthast, Davide Buscaldi and Marc Franco-Salvador and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Paolo Rosso i

Fields of papers citing papers by Paolo Rosso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Rosso

Since Specialization
Citations

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