Loredana Biacino

19 papers and 266 indexed citations i.

About

Loredana Biacino is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Loredana Biacino has authored 19 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Management Science and Operations Research and 8 papers in Computational Theory and Mathematics. Recurrent topics in Loredana Biacino’s work include Advanced Algebra and Logic (8 papers), Logic, Reasoning, and Knowledge (6 papers) and Fuzzy and Soft Set Theory (6 papers). Loredana Biacino is often cited by papers focused on Advanced Algebra and Logic (8 papers), Logic, Reasoning, and Knowledge (6 papers) and Fuzzy and Soft Set Theory (6 papers). Loredana Biacino collaborates with scholars based in Italy and China. Loredana Biacino's co-authors include Giangiacomo Gerla, Ada Lettieri and Mingsheng Ying and has published in prestigious journals such as Information Sciences, Fuzzy Sets and Systems and Journal of Mathematical Analysis and Applications.

In The Last Decade

Co-authorship network of co-authors of Loredana Biacino i

Fields of papers citing papers by Loredana Biacino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Loredana Biacino

Since Specialization
Citations

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