Andrea Esuli

59 papers and 3.2k indexed citations i.

About

Andrea Esuli is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andrea Esuli has authored 59 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 12 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andrea Esuli’s work include Topic Modeling (23 papers), Text and Document Classification Technologies (21 papers) and Sentiment Analysis and Opinion Mining (15 papers). Andrea Esuli is often cited by papers focused on Topic Modeling (23 papers), Text and Document Classification Technologies (21 papers) and Sentiment Analysis and Opinion Mining (15 papers). Andrea Esuli collaborates with scholars based in Italy, Qatar and United States. Andrea Esuli's co-authors include Fabrizio Sebastiani, Stefano Baccianella, Alejandro Moreo, Alessio Ferrari, Fabrizio Falchi, Giuseppe Amato, Nicola Messina, Diego Marcheggiani, Tiziano Fagni and Claudio Gennaro 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 Andrea Esuli i

Fields of papers citing papers by Andrea Esuli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Esuli

Since Specialization
Citations

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