Andrea Passerini

87 papers and 1.6k indexed citations i.

About

Andrea Passerini is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Andrea Passerini has authored 87 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 24 papers in Molecular Biology and 18 papers in Computational Theory and Mathematics. Recurrent topics in Andrea Passerini’s work include Machine Learning and Algorithms (13 papers), Bayesian Modeling and Causal Inference (12 papers) and Protein Structure and Dynamics (11 papers). Andrea Passerini is often cited by papers focused on Machine Learning and Algorithms (13 papers), Bayesian Modeling and Causal Inference (12 papers) and Protein Structure and Dynamics (11 papers). Andrea Passerini collaborates with scholars based in Italy, Belgium and Germany. Andrea Passerini's co-authors include Paolo Frasconi, Alessio Ceroni, Alessandro Vullo, Roberto Battiti, Guy Van den Broeck, Vaishak Belle, Stefano Teso, Marco Lippi, Massimiliano Pontil and Marco Punta and has published in prestigious journals such as Nucleic Acids Research, The Journal of Cell Biology and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Andrea Passerini i

Fields of papers citing papers by Andrea Passerini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Passerini

Since Specialization
Citations

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