Paolo Rosso

10 papers and 108 indexed citations i.

About

Paolo Rosso is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Paolo Rosso has authored 10 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Paolo Rosso’s work include Advanced Graph Neural Networks (5 papers), Topic Modeling (4 papers) and Complex Network Analysis Techniques (2 papers). Paolo Rosso is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Topic Modeling (4 papers) and Complex Network Analysis Techniques (2 papers). Paolo Rosso collaborates with scholars based in Switzerland, Macao and China. Paolo Rosso's co-authors include Philippe Cudré-Mauroux, Dingqi Yang, Jie Liu, Pengyang Wang, Marcelo Luis Errecalde, Yuhuan Lu, Bingqing Qu, Luís Alfonso Ureña López, Patricio Martínez-Barco and M. Antònia Martí and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Procesamiento del lenguaje natural and reroDoc Digital Library.

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