Michele Risi

41 papers and 283 indexed citations i.

About

Michele Risi is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michele Risi has authored 41 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 15 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michele Risi’s work include Software Engineering Research (13 papers), Advanced Software Engineering Methodologies (7 papers) and Data Visualization and Analytics (5 papers). Michele Risi is often cited by papers focused on Software Engineering Research (13 papers), Advanced Software Engineering Methodologies (7 papers) and Data Visualization and Analytics (5 papers). Michele Risi collaborates with scholars based in Italy, Pakistan and United Kingdom. Michele Risi's co-authors include Genoveffa Tortora, Carmine Gravino, Giuseppe Scanniello, Vincenzo Deufemia, Rita Francese, Andrea De Lucia, Gabriella Dodero, Maurizio Tucci, Filomena Ferrucci and Porfirio Tramontana and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Michele Risi i

Fields of papers citing papers by Michele Risi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michele Risi

Since Specialization
Citations

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