Diego Reforgiato Recupero

132 papers and 2.0k indexed citations i.

About

Diego Reforgiato Recupero is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Diego Reforgiato Recupero has authored 132 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 20 papers in Computer Networks and Communications. Recurrent topics in Diego Reforgiato Recupero’s work include Topic Modeling (31 papers), Semantic Web and Ontologies (19 papers) and Stock Market Forecasting Methods (16 papers). Diego Reforgiato Recupero is often cited by papers focused on Topic Modeling (31 papers), Semantic Web and Ontologies (19 papers) and Stock Market Forecasting Methods (16 papers). Diego Reforgiato Recupero collaborates with scholars based in Italy, United Kingdom and France. Diego Reforgiato Recupero's co-authors include Salvatore Carta, Alessandro Sebastian Podda, Valentina Presutti, Aldo Gangemi, V. S. Subrahmanian, Sergio Consoli, Anselmo Ferreira, Roberto Saia, Gianni Fenu and Danilo Dessı̀ and has published in prestigious journals such as Science, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Diego Reforgiato Recupero i

Fields of papers citing papers by Diego Reforgiato Recupero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Reforgiato Recupero. 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 Diego Reforgiato Recupero. The network helps show where Diego Reforgiato Recupero may publish in the future.

Countries citing papers authored by Diego Reforgiato Recupero

Since Specialization
Citations

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