Pasquale Lops

55 papers and 761 indexed citations i.

About

Pasquale Lops is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pasquale Lops has authored 55 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 37 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pasquale Lops’s work include Recommender Systems and Techniques (32 papers), Topic Modeling (19 papers) and Semantic Web and Ontologies (11 papers). Pasquale Lops is often cited by papers focused on Recommender Systems and Techniques (32 papers), Topic Modeling (19 papers) and Semantic Web and Ontologies (11 papers). Pasquale Lops collaborates with scholars based in Italy, Denmark and Austria. Pasquale Lops's co-authors include Giovanni Semeraro, Marco de Gemmis, Cataldo Musto, Fedelucio Narducci, Pierpaolo Basile, Marijn Koolen, Toine Bogers, Dietmar Jannach, Christian Huemer and Alexander Felfernig and has published in prestigious journals such as Information Sciences, Artificial Intelligence and Decision Support Systems.

In The Last Decade

Co-authorship network of co-authors of Pasquale Lops i

Fields of papers citing papers by Pasquale Lops

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pasquale Lops

Since Specialization
Citations

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