2026 Paolo Giudici: Economics and Finance Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Economics and Finance	47	1599	1429	37	37	241	8324
Mathematics	37	2454	2180	77	71	178	7298

Overview

Paolo Giudici is affiliated with the University of Pavia in Italy and has a body of work concentrated in areas related to artificial intelligence, finance, and risk management. Their research covers intersections of explainable artificial intelligence and financial risk, with contributions published in recognized academic venues across economics, AI, and finance.

Their recent publications include:

"Explainable Machine Learning in Credit Risk Management," 2020, published in Computational Economics
"SHAP and LIME: An Evaluation of Discriminative Power in Credit Risk," 2021, published in Frontiers in Artificial Intelligence
"Explainable AI in Fintech Risk Management," 2020, published in Frontiers in Artificial Intelligence
"Shapley-Lorenz eXplainable Artificial Intelligence," 2020, published in Expert Systems with Applications
"SAFE Artificial Intelligence in finance," 2023, published in Finance Research Letters

The scientist frequently collaborates with co-authors such as Barbara Tarantino, Katharine Sherratt, Hugo Gruson, Rene Niehus, and Bastian Prasse, reflecting a network of researchers active in related fields.

Prominent publication venues include:

Zenodo (CERN European Organization for Nuclear Research)
SSRN Electronic Journal
Risks
Frontiers in Artificial Intelligence
Physica A Statistical Mechanics and its Applications

Paolo Giudici's expertise spans several subfields, including:

Artificial Intelligence
Economics and Econometrics
Finance
Management Science and Operations Research
Accounting

Main topics of research work are diverse and include:

Explainable Artificial Intelligence (XAI)
Financial Distress and Bankruptcy Prediction
Stock Market Forecasting Methods
Market Dynamics and Volatility
COVID-19 epidemiological studies
Complex Systems and Time Series Analysis
Imbalanced Data Classification Techniques

Among the scientist's contributions are book publications with AIFIRM eBooks. Titles include "L'integrazione dei fattori ESG nella valutazione del rischio di credito" (2021) and "Big Data & Advanced Analytics per il Risk Management" (2022).

Best Publications

Applied Data Mining: Statistical Methods for Business and Industry

Paolo Giudici

1249
Citations
Applied Data Mining for Business and Industry

Paolo Giudici;Silvia Figini

1229
Citations
Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions

S. P. Brooks;P. Giudici;G. O. Roberts

433
Citations
Explainable Machine Learning in Credit Risk Management

Niklas Bussmann;Paolo Giudici;Dimitri Marinelli;Jochen Papenbrock

370
Citations
Decomposable graphical Gaussian model determination

P Giudici;Peter J Green

359
Citations
Improving Markov Chain Monte Carlo model search for data mining

Paolo Giudici;Robert Castelo

261
Citations
SHAP and LIME: An Evaluation of Discriminative Power in Credit Risk.

Alex Gramegna;Paolo Giudici

248
Citations
What determines bitcoin exchange prices? A network VAR approach

Paolo Giudici;Iman Abu-Hashish

193
Citations
Explainable AI in Fintech Risk Management

Niklas Bussmann;Paolo Giudici;Dimitri Marinelli;Jochen Papenbrock

169
Citations
Shapley-Lorenz eXplainable Artificial Intelligence

Paolo Giudici;Emanuela Raffinetti

169
Citations
Statistical models for operational risk management

Chiara Cornalba;Paolo Giudici

166
Citations
Graphical Network Models for International Financial Flows

P. Giudici;A. Spelta

159
Citations
Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance.

Paolo Giudici

157
Citations
Territorial brands for tourism development: A statistical analysis on the Marche region

Eleonora Lorenzini;Viviana Calzati;Paolo Giudici

141
Citations
Data mining of association structures to model consumer behaviour

Paolo Giudici;Gianluca Passerone

135
Citations
Markov Chain Monte Carlo Convergence Assessment via Two-Way Analysis of Variance

S. P. Brooks;P. Giudici

120
Citations
SAFE Artificial Intelligence in finance

Unknown

117
Citations
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

Unknown

113
Citations
Artificial Intelligence risk measurement

Unknown

111
Citations
Network based credit risk models

Paolo Giudici;Branka Hadji-Misheva;Alessandro Spelta

100
Citations
A Bayesian approach to estimate the marginal loss distributions in operational risk management

L. Dalla Valle;P. Giudici

96
Citations
Bayesian data mining, with application to benchmarking and credit scoring

Paolo Giudici

93
Citations
Big data analysis for financial risk management

Paola Cerchiello;Paolo Giudici

88
Citations
Estimating bank default with generalised extreme value regression models

Raffaella Calabrese;Paolo Giudici

78
Citations
Crypto price discovery through correlation networks

Paolo Giudici;Paolo Giudici;Gloria Polinesi;Gloria Polinesi

77
Citations
Bayesian networks for enterprise risk assessment

Concetto Elvio Bonafede;Paolo Giudici

76
Citations
Modelling Operational Losses: A Bayesian Approach

Paolo Giudici;Annalisa Bilotta

75
Citations
The drivers of cyber risk

Iñaki Aldasoro;Leonardo Gambacorta;Paolo Giudici;Thomas Leach

8
Citations

Frequent Co-Authors

Leonardo Gambacorta Bank for International Settlements

Riccardo Bellazzi University of Pavia

David Heckerman Microsoft (United States)

Daniel Gros Bocconi University

External Links

Google Scholar page

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