Alberto Lavelli

45 papers and 1.0k indexed citations i.

About

Alberto Lavelli is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Alberto Lavelli has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 21 papers in Molecular Biology and 4 papers in Information Systems. Recurrent topics in Alberto Lavelli’s work include Topic Modeling (33 papers), Natural Language Processing Techniques (28 papers) and Biomedical Text Mining and Ontologies (21 papers). Alberto Lavelli is often cited by papers focused on Topic Modeling (33 papers), Natural Language Processing Techniques (28 papers) and Biomedical Text Mining and Ontologies (21 papers). Alberto Lavelli collaborates with scholars based in Italy, United States and Switzerland. Alberto Lavelli's co-authors include Ivano Lauriola, Fabio Aiolli, Lorenza Romano, Claudio Giuliano, Fabio Rinaldi, Riccardo Miotto, Venet Osmani, Seyedmostafa Sheikhalishahi, Joel T. Dudley and Fabio Ciravegna and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Alberto Lavelli i

Fields of papers citing papers by Alberto Lavelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alberto Lavelli

Since Specialization
Citations

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