Giorgio Corani

2.5k total citations
68 papers, 1.1k citations indexed

About

Giorgio Corani is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Giorgio Corani has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 15 papers in Statistics and Probability and 11 papers in Computational Theory and Mathematics. Recurrent topics in Giorgio Corani's work include Bayesian Modeling and Causal Inference (29 papers), Rough Sets and Fuzzy Logic (11 papers) and Machine Learning and Data Classification (9 papers). Giorgio Corani is often cited by papers focused on Bayesian Modeling and Causal Inference (29 papers), Rough Sets and Fuzzy Logic (11 papers) and Machine Learning and Data Classification (9 papers). Giorgio Corani collaborates with scholars based in Switzerland, Italy and United Kingdom. Giorgio Corani's co-authors include Marco Zaffalon, Mauro Scanagatta, Alessio Benavoli, Giorgio Guariso, Cassio P. de Campos, Francesco Musumeci, Denis Deratani Mauá, Alessandro Giusti, Filippo Cugini and Massimo Tornatore and has published in prestigious journals such as Human Reproduction, Journal of Lightwave Technology and Machine Learning.

In The Last Decade

Giorgio Corani

64 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giorgio Corani Switzerland 18 437 272 174 139 131 68 1.1k
Da Gao China 15 269 0.6× 198 0.7× 309 1.8× 54 0.4× 37 0.3× 37 1.1k
Shin‐Jye Lee Taiwan 17 243 0.6× 69 0.3× 39 0.2× 54 0.4× 161 1.2× 58 959
Emilio G. Ortiz‐García Spain 15 324 0.7× 246 0.9× 39 0.2× 480 3.5× 98 0.7× 39 940
Chuan Luo China 23 499 1.1× 97 0.4× 48 0.3× 59 0.4× 78 0.6× 100 1.6k
Jen-Wei Huang Taiwan 15 269 0.6× 237 0.9× 210 1.2× 61 0.4× 15 0.1× 72 847
Bing Zhou China 12 242 0.6× 139 0.5× 57 0.3× 16 0.1× 163 1.2× 46 887
Raquel Martínez‐España Spain 18 268 0.6× 159 0.6× 46 0.3× 58 0.4× 26 0.2× 80 938
Roberto Corizzo United States 18 446 1.0× 159 0.6× 102 0.6× 178 1.3× 75 0.6× 64 990
Varun Ojha United Kingdom 10 267 0.6× 66 0.2× 27 0.2× 100 0.7× 55 0.4× 50 785
Werner G. Müller Austria 17 98 0.2× 200 0.7× 22 0.1× 39 0.3× 295 2.3× 51 965

Countries citing papers authored by Giorgio Corani

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Corani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Corani

This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Corani. A scholar is included among the top collaborators of Giorgio Corani 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 Giorgio Corani. Giorgio Corani 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.
Corani, Giorgio, et al.. (2025). BayesReconPy: A Python package for forecast reconciliation. The Journal of Open Source Software. 10(111). 8336–8336.
2.
Corani, Giorgio, et al.. (2025). Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood. International Journal of Forecasting.
3.
Agosto, Arianna, et al.. (2024). Properties of the reconciled distributions for Gaussian and count forecasts. International Journal of Forecasting. 40(4). 1438–1448. 1 indexed citations
4.
Scanagatta, Mauro, Giorgio Corani, Cassio P. de Campos, & Marco Zaffalon. (2018). Approximate structure learning for large Bayesian networks. Machine Learning. 107(8-10). 1209–1227. 18 indexed citations
5.
Scanagatta, Mauro, Giorgio Corani, Cassio P. de Campos, & Marco Zaffalon. (2016). Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. Research Portal (Queen's University Belfast). 29. 1462–1470. 19 indexed citations
6.
Antonucci, Alessandro & Giorgio Corani. (2016). The multilabel naive credal classifier. International Journal of Approximate Reasoning. 83. 320–336. 6 indexed citations
7.
Scanagatta, Mauro, Cassio P. de Campos, Giorgio Corani, & Marco Zaffalon. (2015). Learning Bayesian networks with thousands of variables. Research Portal (Queen's University Belfast). 28. 1864–1872. 43 indexed citations
8.
Benavoli, Alessio, Giorgio Corani, Francesca Mangili, & Marco Zaffalon. (2015). A Bayesian nonparametric procedure for comparing algorithms. International Conference on Machine Learning. 1264–1272. 4 indexed citations
9.
Campos, Cassio P. de, et al.. (2015). Learning extended tree augmented naive structures. International Journal of Approximate Reasoning. 68. 153–163. 16 indexed citations
10.
Corani, Giorgio & Andrea Mignatti. (2014). Credal model averaging for classification: representing prior ignorance and expert opinions. International Journal of Approximate Reasoning. 56. 264–277. 4 indexed citations
11.
Zaffalon, Marco & Giorgio Corani. (2014). Comments on “Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks” by Andrés R. Masegosa and Serafín Moral. International Journal of Approximate Reasoning. 55(7). 1597–1600. 1 indexed citations
12.
Gianaroli, Luca, et al.. (2013). Objective way to support embryo transfer: a probabilistic decision. Human Reproduction. 28(5). 1210–1220. 13 indexed citations
13.
Corani, Giorgio, M. Cristina Magli, Alessandro Giusti, Luca Gianaroli, & Luca Maria Gambardella. (2013). A Bayesian network model for predicting pregnancy after in vitro fertilization. Computers in Biology and Medicine. 43(11). 1783–1792. 30 indexed citations
14.
Zaffalon, Marco, Giorgio Corani, & Denis Deratani Mauá. (2012). Evaluating credal classifiers by utility-discounted predictive accuracy. International Journal of Approximate Reasoning. 53(8). 1282–1301. 37 indexed citations
15.
Giusti, Alessandro, et al.. (2011). Artificial Defocus for Displaying Markers in Microscopy Z-Stacks. IEEE Transactions on Visualization and Computer Graphics. 17(12). 1757–1764. 4 indexed citations
16.
Corani, Giorgio & Cassio P. de Campos. (2010). A tree augmented classifier based on Extreme Imprecise Dirichlet Model. International Journal of Approximate Reasoning. 51(9). 1053–1068. 9 indexed citations
17.
Corani, Giorgio & Marco Zaffalon. (2008). JNCC2: The Java Implementation Of Naive Credal Classifier 2. Journal of Machine Learning Research. 9(90). 2695–2698. 8 indexed citations
18.
Corani, Giorgio & Marco Zaffalon. (2008). Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2. Journal of Machine Learning Research. 9(20). 581–621. 37 indexed citations
19.
Corani, Giorgio & Marco Zaffalon. (2008). Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications. 84–90. 1 indexed citations
20.
Corani, Giorgio & Giorgio Guariso. (2004). Fuzzy modelling of basin saturation state and neural networks for flood forecasting. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3(15). 1301–1306. 1 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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