Guido Consonni

99 total papers · 962 total citations
53 papers, 566 citations indexed

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 53 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 33 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Guido Consonni's work include Bayesian Modeling and Causal Inference (25 papers), Statistical Methods and Bayesian Inference (23 papers) and Bayesian Methods and Mixture Models (19 papers). Guido Consonni is often cited by papers focused on Bayesian Modeling and Causal Inference (25 papers), Statistical Methods and Bayesian Inference (23 papers) and Bayesian Methods and Mixture Models (19 papers). Guido Consonni collaborates with scholars based in Italy, United Kingdom and Greece. Guido Consonni's co-authors include Jean‐Michel Marin, Ioannis Ntzoufras, Dimitris Fouskakis, Brunero Liseo, Stefano Peluso, Eduardo Gutiérrez‐Peña, Πέτρος Δελλαπόρτας, Alberto Roverato, Leonardo Bottolo and Antonio Lijoi and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Guido Consonni

50 papers receiving 535 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Guido Consonni	360	288	69	48	41	53	566
Hélène Massam	386 1.1×	269 0.9×	58 0.8×	37 0.8×	11 0.3×	50	697
Zhao Ren	304 0.8×	150 0.5×	128 1.9×	17 0.4×	27 0.7×	25	529
Ryan P. Browne	297 0.8×	436 1.5×	49 0.7×	29 0.6×	45 1.1×	48	592
Pengfei Li	339 0.9×	202 0.7×	28 0.4×	91 1.9×	24 0.6×	55	502
Roberto Rocci	167 0.5×	274 1.0×	29 0.4×	25 0.5×	9 0.2×	41	564
Huazhen Lin	313 0.9×	104 0.4×	81 1.2×	25 0.5×	25 0.6×	60	532
Boris Brodsky	228 0.6×	162 0.6×	40 0.6×	52 1.1×	166 4.0×	30	659
F. J. Girón	339 0.9×	221 0.8×	14 0.2×	93 1.9×	58 1.4×	37	498
Céline Lévy‐Leduc	267 0.7×	100 0.3×	171 2.5×	39 0.8×	50 1.2×	42	655
Adam Rothman	323 0.9×	146 0.5×	86 1.2×	27 0.6×	6 0.1×	26	655

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).

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.

Co-authorship network of co-authors of Guido Consonni

This figure shows the co-authorship network connecting the top 25 collaborators of Guido Consonni. A scholar is included among the top collaborators of Guido Consonni 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 Guido Consonni. Guido Consonni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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