Paolo Rosso

2 papers and 30 indexed citations i.

About

Paolo Rosso is a scholar working on Artificial Intelligence, Safety Research and Industrial relations. According to data from OpenAlex, Paolo Rosso has authored 2 papers receiving a total of 30 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Safety Research and 0 papers in Industrial relations. Recurrent topics in Paolo Rosso’s work include Topic Modeling (2 papers), Text Readability and Simplification (1 paper) and Academic integrity and plagiarism (1 paper). Paolo Rosso is often cited by papers focused on Topic Modeling (2 papers), Text Readability and Simplification (1 paper) and Academic integrity and plagiarism (1 paper). Paolo Rosso collaborates with scholars based in Spain. Paolo Rosso's co-authors include David Pinto, Alberto Barrón‐Cedeño, Alfons Juan, Lluís-F. Hurtado, Emilio Sanchís and Encarna Segarra and has published in prestigious journals such as IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) and European Conference on Artificial Intelligence.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025