Giorgio Corani

130 total papers · 2.5k total citations
67 papers, 1.0k 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 67 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 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, Massimo Tornatore, Filippo Cugini, Alessandro Giusti, Denis Deratani Mauá and Cristina Rottondi and has published in prestigious journals such as Human Reproduction, Journal of Lightwave Technology and Machine Learning.

In The Last Decade

Giorgio Corani

63 papers receiving 990 citations

Author Peers

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

Author Last Decade Papers Cites
Giorgio Corani 434 269 173 136 131 67 1.0k
Jose L Aznarte 266 0.6× 238 0.9× 173 1.0× 112 0.8× 115 0.9× 36 1.2k
Yang Chen 363 0.8× 131 0.5× 85 0.5× 48 0.4× 84 0.6× 47 826
Jinran Wu 377 0.9× 171 0.6× 50 0.3× 453 3.3× 179 1.4× 92 1.2k
Dimitris Margaritis 358 0.8× 74 0.3× 55 0.3× 113 0.8× 108 0.8× 37 857
Furui Liu 178 0.4× 377 1.4× 242 1.4× 95 0.7× 27 0.2× 41 1.1k
M. Bhaskara Rao 195 0.4× 164 0.6× 209 1.2× 43 0.3× 142 1.1× 39 1.1k
Jingjing Xie 158 0.4× 481 1.8× 185 1.1× 208 1.5× 81 0.6× 37 983
Da Gao 265 0.6× 196 0.7× 307 1.8× 54 0.4× 37 0.3× 37 1.0k
Tiago A. E. Ferreira 263 0.6× 123 0.5× 58 0.3× 200 1.5× 284 2.2× 78 898
Shin‐Jye Lee 243 0.6× 68 0.3× 39 0.2× 54 0.4× 159 1.2× 58 945

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

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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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