Michelangelo Ceci

97 papers and 1.4k indexed citations i.

About

Michelangelo Ceci is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Michelangelo Ceci has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 24 papers in Information Systems and 22 papers in Signal Processing. Recurrent topics in Michelangelo Ceci’s work include Data Mining Algorithms and Applications (20 papers), Text and Document Classification Technologies (12 papers) and Rough Sets and Fuzzy Logic (12 papers). Michelangelo Ceci is often cited by papers focused on Data Mining Algorithms and Applications (20 papers), Text and Document Classification Technologies (12 papers) and Rough Sets and Fuzzy Logic (12 papers). Michelangelo Ceci collaborates with scholars based in Italy, Slovenia and United States. Michelangelo Ceci's co-authors include Donato Malerba, Gianvito Pio, Roberto Corizzo, Sašo Džeroski, Annalisa Appice, Domenica D’Elia, Dragi Kocev, Nathalie Japkowicz, Jurica Levatić and Daniela Stojanova and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Michelangelo Ceci i

Fields of papers citing papers by Michelangelo Ceci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michelangelo Ceci

Since Specialization
Citations

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