Giorgio Corani

2.5k citations
68 papers · 1.1k · h-index 18

Impact in

Papers in

    • Bayesian Modeling and Causal Inference 29
    • Machine Learning and Data Classification 9
    • Bayesian Methods and Mixture Models 7
    • Statistical Methods and Bayesian Inference 7
    • Statistical Methods and Inference 4

Giorgio Corani

64 papers receiving 1.0k citations

Peers

Giorgio Corani
Comparison fields: 5 of 131
  • Environmental Engineering 272
  • Artificial Intelligence 437
  • Health, Toxicology and Mutagenesis 174
  • Management Science and Operations Research 131
  • Statistics and Probability 75
Replace Shin‐Jye Lee with:
Shin‐Jye Lee Taiwan
Bing Zhou China
Emilio G. Ortiz‐García Spain
Da Gao China
Chuan Luo China
Varun Ojha United Kingdom
Raquel Martínez‐España Spain
Colin Bellinger Canada
A. A. Salama Egypt
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Giorgio Corani relative to Shin‐Jye Lee Taiwan Shin‐Jye Lee's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Giorgio Corani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Giorgio Corani Line = papers co-authored together Giorgio Corani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005191
2 2019109
3 201662
4
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process
201448
5
Learning Bayesian networks with thousands of variables
201543
6
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
200837
7 201237
8 201537
9 200536
10 201034
11 201330
12 201728
13
Reinforcement learning in the operational management of a water system
200227
14
An ensemble of Bayesian networks for multilabel classification
201324
15 201922
16
Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables
201619
17 201818
18 200518
19 200717
20 201516

About Giorgio Corani

Giorgio Corani is a scholar working on Artificial Intelligence, Statistics and Probability, Computational Theory and Mathematics, Management Science and Operations Research and Environmental Engineering, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (29 papers), Rough Sets and Fuzzy Logic (11 papers), Machine Learning and Data Classification (9 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (4 papers), Stock Market Forecasting Methods (4 papers) and Hydrology and Watershed Management Studies (4 papers). The work is most often cited by research in Environmental Engineering (272 citations), Artificial Intelligence (437 citations), Health, Toxicology and Mutagenesis (174 citations), Management Science and Operations Research (131 citations) and Statistics and Probability (75 citations). Giorgio Corani has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Marco Zaffalon, Mauro Scanagatta, Alessio Benavoli, Giorgio Guariso, Cassio P. de Campos, Cristina Rottondi, Francesco Musumeci, Denis Deratani Mauá, Massimo Tornatore and Alessandro Giusti. Their work appears in journals such as International Journal of Approximate Reasoning, Machine Learning, International Journal of Forecasting, Environmental Modelling & Software and Computational Statistics & Data Analysis.

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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