Guido Consonni

51 papers and 562 indexed citations i.

About

Guido Consonni is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Guido Consonni has authored 51 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 32 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Guido Consonni’s work include Bayesian Modeling and Causal Inference (24 papers), Statistical Methods and Bayesian Inference (22 papers) and Bayesian Methods and Mixture Models (18 papers). Guido Consonni is often cited by papers focused on Bayesian Modeling and Causal Inference (24 papers), Statistical Methods and Bayesian Inference (22 papers) and Bayesian Methods and Mixture Models (18 papers). Guido Consonni collaborates with scholars based in Italy, United Kingdom and Greece. Guido Consonni's co-authors include Piero Veronese, Jean‐Michel Marin, Ioannis Ntzoufras, Dimitris Fouskakis, Brunero Liseo, Stefano Peluso, Eduardo Gutiérrez‐Peña, Πέτρος Δελλαπόρτας, Alberto Roverato and Antonio Lijoi and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Co-authorship network of co-authors of Guido Consonni i

Fields of papers citing papers by Guido Consonni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guido Consonni

Since Specialization
Citations

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