Angela Montanari

28 papers and 274 indexed citations i.

About

Angela Montanari is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Angela Montanari has authored 28 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Statistics and Probability and 5 papers in Signal Processing. Recurrent topics in Angela Montanari’s work include Bayesian Methods and Mixture Models (10 papers), Advanced Clustering Algorithms Research (6 papers) and Advanced Statistical Methods and Models (5 papers). Angela Montanari is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Advanced Clustering Algorithms Research (6 papers) and Advanced Statistical Methods and Models (5 papers). Angela Montanari collaborates with scholars based in Italy. Angela Montanari's co-authors include Cinzia Viroli, Daniela Giovanna Calò, Laura Anderlucci, Giuliano Galimberti, Paolo Baili, Andrea Micheli, Riccardo Capocaccia, Stefano Zauli Sajani, Paolo Lauriola and Fabiana Scotto and has published in prestigious journals such as The Annals of Thoracic Surgery, Journal of the Royal Statistical Society Series C (Applied Statistics) and Statistical Science.

In The Last Decade

Co-authorship network of co-authors of Angela Montanari i

Fields of papers citing papers by Angela Montanari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angela Montanari

Since Specialization
Citations

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