Enrico Marchioni

26 papers and 149 indexed citations i.

About

Enrico Marchioni is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Enrico Marchioni has authored 26 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Theory and Mathematics, 20 papers in Artificial Intelligence and 7 papers in Management Science and Operations Research. Recurrent topics in Enrico Marchioni’s work include Advanced Algebra and Logic (22 papers), Logic, Reasoning, and Knowledge (19 papers) and Rough Sets and Fuzzy Logic (11 papers). Enrico Marchioni is often cited by papers focused on Advanced Algebra and Logic (22 papers), Logic, Reasoning, and Knowledge (19 papers) and Rough Sets and Fuzzy Logic (11 papers). Enrico Marchioni collaborates with scholars based in Spain, Italy and United Kingdom. Enrico Marchioni's co-authors include Tommaso Flaminio, Lluı́s Godo, Franco Montagna, Michael Wooldridge, George Metcalfe, F. Montagna, Giuseppe Perelli, Julián Gutiérrez, Giacomo Lenzi and Pilar Dellunde and has published in prestigious journals such as Artificial Intelligence, Fuzzy Sets and Systems and Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Enrico Marchioni i

Fields of papers citing papers by Enrico Marchioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Enrico Marchioni

Since Specialization
Citations

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