Pasquale Minervini

43 papers and 1.7k indexed citations i.

About

Pasquale Minervini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pasquale Minervini has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pasquale Minervini’s work include Topic Modeling (24 papers), Natural Language Processing Techniques (13 papers) and Advanced Graph Neural Networks (12 papers). Pasquale Minervini is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (13 papers) and Advanced Graph Neural Networks (12 papers). Pasquale Minervini collaborates with scholars based in United Kingdom, Italy and Ireland. Pasquale Minervini's co-authors include Sebastian Riedel, Pontus Stenetorp, Tim Dettmers, Tim Rocktäschel, Yuxiang Wu, Patrick A. Lewis, Heinrich Küttler, Linqing Liu, Aleksandra Piktus and Nicola Fanizzi and has published in prestigious journals such as Neurocomputing, Journal of Thoracic Oncology and Journal of Biomedical Informatics.

In The Last Decade

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

Fields of papers citing papers by Pasquale Minervini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pasquale Minervini

Since Specialization
Citations

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