Danilo Pelusi

80 papers and 1.3k indexed citations i.

About

Danilo Pelusi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Danilo Pelusi has authored 80 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 12 papers in Information Systems. Recurrent topics in Danilo Pelusi’s work include Rough Sets and Fuzzy Logic (9 papers), Multi-Criteria Decision Making (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Danilo Pelusi is often cited by papers focused on Rough Sets and Fuzzy Logic (9 papers), Multi-Criteria Decision Making (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Danilo Pelusi collaborates with scholars based in Italy, India and China. Danilo Pelusi's co-authors include Janmenjoy Nayak, Bighnaraj Naik, Yong Deng, Luca G. Tallini, Weiping Ding, Asit Kumar Das, Waleed S. Alnumay, Suresh Chandra Satapathy, Rajesh Singh and Praveen Kumar Malik and has published in prestigious journals such as IEEE Transactions on Information Theory, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Danilo Pelusi i

Fields of papers citing papers by Danilo Pelusi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danilo Pelusi

Since Specialization
Citations

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