Evelina Lamma

99 papers and 667 indexed citations i.

About

Evelina Lamma is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Evelina Lamma has authored 99 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 14 papers in Computational Theory and Mathematics. Recurrent topics in Evelina Lamma’s work include Logic, Reasoning, and Knowledge (52 papers), Semantic Web and Ontologies (48 papers) and Multi-Agent Systems and Negotiation (21 papers). Evelina Lamma is often cited by papers focused on Logic, Reasoning, and Knowledge (52 papers), Semantic Web and Ontologies (48 papers) and Multi-Agent Systems and Negotiation (21 papers). Evelina Lamma collaborates with scholars based in Italy, Portugal and United Kingdom. Evelina Lamma's co-authors include Paola Mello, Fabrizio Riguzzi, Marco Gavanelli, Paolo Torroni, Marco Alberti, Elena Bellodi, Riccardo Zese, Michele Bugliesi, Michela Milano and Federico Chesani and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Evelina Lamma i

Fields of papers citing papers by Evelina Lamma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Evelina Lamma

Since Specialization
Citations

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