Andrea Passerini

4.1k total citations · 1 hit paper
99 papers, 2.0k citations indexed

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 99 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 27 papers in Molecular Biology and 17 papers in Computational Theory and Mathematics. Recurrent topics in Andrea Passerini's work include Machine Learning and Algorithms (16 papers), Machine Learning in Bioinformatics (13 papers) and Bayesian Modeling and Causal Inference (13 papers). Andrea Passerini is often cited by papers focused on Machine Learning and Algorithms (16 papers), Machine Learning in Bioinformatics (13 papers) and Bayesian Modeling and Causal Inference (13 papers). Andrea Passerini collaborates with scholars based in Italy, Belgium and Germany. Andrea Passerini's co-authors include Paolo Frasconi, Alessio Ceroni, Alessandro Vullo, Guy Van den Broeck, Vaishak Belle, Roberto Battiti, Stefano Teso, Massimiliano Pontil, Marco Lippi and Luc De Raedt and has published in prestigious journals such as Nucleic Acids Research, The Journal of Cell Biology and Bioinformatics.

In The Last Decade

Andrea Passerini

93 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning for microbiologists

2023 111 citations Andrea Passerini et al. profile →

Peers

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).

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.

Co-authorship network of co-authors of Andrea Passerini

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Passerini. A scholar is included among the top collaborators of Andrea Passerini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrea Passerini. Andrea Passerini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: A Matter of Design 2025 ·IEEE Access ·(unknown), Tommaso Zoppi, (unknown), (unknown), Andrea Passerini	0
2	Generating fine-grained surrogate temporal networks 2024 ·Communications Physics ·(unknown), Giulia Cencetti, Sune Lehmann, Andrea Passerini, Bruno Lepri	11
3	Glitter or gold? Deriving structured insights from sustainability reports via large language models 2024 ·EPJ Data Science ·(unknown), Carlo Nicolini, Bruno Lepri, Andrea Passerini, Jacopo Staiano	13
4	Sensory and multisensory reasoning: Is Bayesian updating modality-dependent? 2023 ·Cognition ·(unknown), Stefania Pighin, Andrea Passerini, Francesco Pavani, Katya Tentori	0
5	Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis 2023 ·Machine Learning ·(unknown), Bruno Lepri, Andrea Passerini	2
6	Adaptation of student behavioural routines during Covid-19: a multimodal approach 2023 ·EPJ Data Science ·(unknown), (unknown), Andrea Passerini, Ivano Bison, Fausto Giunchiglia, Bruno Lepri	0
7	Learning Modulo Theories for constructive preference elicitation 2021 ·Artificial Intelligence ·(unknown), Stefano Teso, Roberto Battiti, Andrea Passerini	2
8	A review and experimental analysis of active learning over crowdsourced data 2021 ·Artificial Intelligence Review ·(unknown), (unknown), Jie Yang, Andrea Passerini, Fabio Casati	22
9	Efficient Generation of Structured Objects with Constrained Adversarial Networks 2020 ·Lirias (KU Leuven) ·(unknown), (unknown), (unknown), (unknown), Stefano Teso, Andrea Passerini	2
10	AIIA 2018 - Advances in Artificial Intelligence - XVIIth International Conference of the Italian Association for Artificial Intelligence, Trento, Italy, November 20-23, 2018, Proceedings 2018 ·CERN Document Server (European Organization for Nuclear Research)* ·Chiara Ghidini, Bernardo Magnini, Andrea Passerini, Paolo Traverso	2
11	Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. 2016 ·National Conference on Artificial Intelligence ·Vaishak Belle, Guy Van den Broeck, Andrea Passerini	66
12	Bootstrapping domain ontologies from wikipedia: a uniform approach 2015 ·Institutional Research Information System (Università degli Studi di Trento) ·Daniil Mirylenka, Andrea Passerini, Luciano Serafini	2
13	Hashing-based approximate probabilistic inference in hybrid domains 2015 ·Lirias (KU Leuven) ·Vaishak Belle, Guy Van den Broeck, Andrea Passerini	19
14	Structured learning modulo theories 2015 ·Artificial Intelligence ·Stefano Teso, Roberto Sebastiani, Andrea Passerini	26
15	Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy 2011 ·Genome Research ·Wuxian Shi, Marco Punta, Jen Bohon, J.M. Sauder, (unknown), Michael Sullivan, John A. Toomey, (unknown), Marco Lippi, Andrea Passerini, Paolo Frasconi, S.K. Burley, Burkhard Rost, Mark R. Chance	36
16	Brain–Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker 2010 ·IEEE Transactions on Evolutionary Computation ·Roberto Battiti, Andrea Passerini	77
17	Predicting the Geometry of Metal Binding Sites from Protein Sequence 2008 ·Florence Research (University of Florence) ·Paolo Frasconi, Andrea Passerini	10
18	kFOIL: learning simple relational kernels 2006 ·Lirias (KU Leuven) ·Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi	46
19	Kernels on prolog ground terms 2005 ·Florence Research (University of Florence) ·Andrea Passerini, Paolo Frasconi	2
20	From margins to probabilities in multiclass learning problems 2002 ·UCL Discovery (University College London) ·Andrea Passerini, Massimiliano Pontil, Paolo Frasconi	13

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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