Umberto Straccia

81 papers and 1.8k indexed citations i.

About

Umberto Straccia is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Umberto Straccia has authored 81 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 29 papers in Computational Theory and Mathematics and 19 papers in Information Systems. Recurrent topics in Umberto Straccia’s work include Semantic Web and Ontologies (61 papers), Logic, Reasoning, and Knowledge (37 papers) and Rough Sets and Fuzzy Logic (19 papers). Umberto Straccia is often cited by papers focused on Semantic Web and Ontologies (61 papers), Logic, Reasoning, and Knowledge (37 papers) and Rough Sets and Fuzzy Logic (19 papers). Umberto Straccia collaborates with scholars based in Italy, Spain and United States. Umberto Straccia's co-authors include Fernando Bobillo, Thomas Lukasiewicz, Carlo Meghini, Fabrizio Sebastiani, Axel Polleres, Nuno Lopes, Juan Gómez‐Romero, M. Elena Renda, Miguel Delgado‐Rodríguez and Giovanni Casini and has published in prestigious journals such as Information Sciences, Fuzzy Sets and Systems and Journal of the ACM.

In The Last Decade

Co-authorship network of co-authors of Umberto Straccia i

Fields of papers citing papers by Umberto Straccia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Umberto Straccia

Since Specialization
Citations

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