María I. Sessa

15 papers and 164 indexed citations i.

About

María I. Sessa is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, María I. Sessa has authored 15 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Computational Theory and Mathematics. Recurrent topics in María I. Sessa’s work include Logic, Reasoning, and Knowledge (5 papers), Logic, programming, and type systems (4 papers) and Semantic Web and Ontologies (4 papers). María I. Sessa is often cited by papers focused on Logic, Reasoning, and Knowledge (5 papers), Logic, programming, and type systems (4 papers) and Semantic Web and Ontologies (4 papers). María I. Sessa collaborates with scholars based in Italy, Canada and Pakistan. María I. Sessa's co-authors include Giangiacomo Gerla, Vincenzo Loia, Sabrina Senatore, Filomena Ferrucci, Maurizio Tucci, Witold Pedrycz, Giorgio Satta, Giuliana Vitiello, Genny Tortora and Michele Risi and has published in prestigious journals such as Fuzzy Sets and Systems, IEEE Transactions on Knowledge and Data Engineering and Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of María I. Sessa i

Fields of papers citing papers by María I. Sessa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María I. Sessa. 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 María I. Sessa. The network helps show where María I. Sessa may publish in the future.

Countries citing papers authored by María I. Sessa

Since Specialization
Citations

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