Laura Azzimonti

19 papers and 392 indexed citations i.

About

Laura Azzimonti is a scholar working on Statistics and Probability, Artificial Intelligence and Immunology. According to data from OpenAlex, Laura Azzimonti has authored 19 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 3 papers in Immunology. Recurrent topics in Laura Azzimonti’s work include Statistical Methods and Inference (6 papers), Bayesian Methods and Mixture Models (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Laura Azzimonti is often cited by papers focused on Statistical Methods and Inference (6 papers), Bayesian Methods and Mixture Models (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Laura Azzimonti collaborates with scholars based in Switzerland, Italy and United States. Laura Azzimonti's co-authors include Laura M. Sangalli, Fabio Nobile, Maurizio Domanin, Piercesare Secchi, Paolo Dellabona, Giorgio Corani, Giulia Casorati, Claudia de Lalla, Anna Maria Paganoni and Francesca Mangili and has published in prestigious journals such as Journal of the American Statistical Association, Blood and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Laura Azzimonti i

Fields of papers citing papers by Laura Azzimonti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Azzimonti

Since Specialization
Citations

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