Guido Consonni

969 total citations
53 papers, 567 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 567 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, Brunero Liseo, Dimitris Fouskakis, Ioannis Ntzoufras, Stefano Peluso, Eduardo Gutiérrez‐Peña, Πέτρος Δελλαπόρτας, Alberto Roverato, Antonio Lijoi and Leonardo Bottolo 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 536 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guido Consonni Italy 12 357 287 69 48 42 53 567
C.-L. Tsai China 5 628 1.8× 150 0.5× 61 0.9× 58 1.2× 54 1.3× 6 780
N. Rao Chaganty United States 13 451 1.3× 128 0.4× 28 0.4× 96 2.0× 27 0.6× 46 739
Juhyun Park United Kingdom 10 167 0.5× 159 0.6× 31 0.4× 32 0.7× 15 0.4× 31 447
Minh‐Ngoc Tran Australia 10 236 0.7× 221 0.8× 25 0.4× 41 0.9× 22 0.5× 39 408
Roberto Rocci Italy 14 157 0.4× 269 0.9× 29 0.4× 21 0.4× 8 0.2× 40 539
F. J. Girón Spain 13 334 0.9× 216 0.8× 14 0.2× 93 1.9× 58 1.4× 37 493
Lewis H. Shoemaker United States 7 559 1.6× 131 0.5× 39 0.6× 203 4.2× 112 2.7× 13 766
Yves Romain France 6 259 0.7× 97 0.3× 18 0.3× 28 0.6× 27 0.6× 16 393
Jianhui Zhou United States 12 495 1.4× 164 0.6× 47 0.7× 32 0.7× 24 0.6× 26 645

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

20 of 20 papers shown
1.
2.
Consonni, Guido, et al.. (2023). Bayesian approaches to designing replication studies.. Psychological Methods. 6 indexed citations
3.
Consonni, Guido, et al.. (2021). Bayesian Causal Inference in Probit Graphical Models. BOA (University of Milano-Bicocca). 3 indexed citations
4.
Consonni, Guido, et al.. (2019). Accounting for model uncertainty in individualized designs for discrete choice experiments. Journal of Quality Technology. 52(1). 81–96. 1 indexed citations
5.
Consonni, Guido, et al.. (2019). The Measure of Population Aging in Different Welfare Regimes: A Bayesian Dynamic Modeling Approach. European Journal of Population / Revue européenne de Démographie. 36(2). 363–385. 3 indexed citations
6.
Consonni, Guido, et al.. (2017). Objective Bayes Covariate‐Adjusted Sparse Graphical Model Selection. Scandinavian Journal of Statistics. 44(3). 741–764. 20 indexed citations
7.
Consonni, Guido, et al.. (2016). Objective Bayesian Comparison of Constrained Analysis of Variance Models. Psychometrika. 82(3). 589–609. 3 indexed citations
8.
Consonni, Guido, et al.. (2011). Objective Bayesian Search of Gaussian DAG Models with Non-local Priors. Econstor (Econstor).
9.
Consonni, Guido, et al.. (2011). Testing Hardy–Weinberg equilibrium: An objective Bayesian analysis. Institutional Research Information System University of Turin (University of Turin). 11 indexed citations
10.
Consonni, Guido, et al.. (2011). Moment priors for Bayesian model choice with applications to directed acyclic graphs. 9. 119–144. 9 indexed citations
11.
Berti, Patrizia, Guido Consonni, Luca Pratelli, & Pietro Rigo. (2008). Gibbs Sampling, Exponential Families and Orthogonal Polynomials. Comment.. Statistical Science. 179–182. 1 indexed citations
12.
Consonni, Guido, et al.. (2007). Compatible priors for Bayesian model comparison with an application to the Hardy–Weinberg equilibrium model. Test. 17(3). 585–605. 8 indexed citations
13.
Consonni, Guido, et al.. (2006). Reference priors for discrete graphical models. Biometrika. 93(1). 23–40. 3 indexed citations
14.
Consonni, Guido & Jean‐Michel Marin. (2006). Mean-field variational approximate Bayesian inference for latent variable models. Computational Statistics & Data Analysis. 52(2). 790–798. 41 indexed citations
15.
Scala, Lilla Di, et al.. (2004). A Bayesian Hierarchical Model for the Evaluation of a Website. Journal of Applied Statistics. 31(1). 15–27. 2 indexed citations
16.
Bottolo, Leonardo, Guido Consonni, Πέτρος Δελλαπόρτας, & Antonio Lijoi. (2003). Bayesian Analysis of Extreme Values by Mixture Modeling. Extremes. 6(1). 25–47. 23 indexed citations
17.
Golinelli, Daniela, David Madigan, & Guido Consonni. (1999). Relaxing the local independence assumption for quantitative learning in acyclic directed graphical models through hierarchical partition models.. International Conference on Artificial Intelligence and Statistics. 6 indexed citations
18.
Consonni, Guido, et al.. (1992). Conjugate Priors for Exponential Families Having Quadratic Variance Functions. Journal of the American Statistical Association. 87(420). 1123–1123. 8 indexed citations
19.
Consonni, Guido, et al.. (1992). Conjugate Priors for Exponential Families Having Quadratic Variance Functions. Journal of the American Statistical Association. 87(420). 1123–1127. 30 indexed citations
20.
Consonni, Guido & A. P. Dawid. (1985). Decomposition and Bayesian analysis of invariant normal linear models. Linear Algebra and its Applications. 70. 21–49. 7 indexed citations

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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