World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5266
World Ranking
8984
National Ranking
252

Mathematics

D-Index
41
Citations
5077
World Ranking
1960
National Ranking
53

Overview

Pierpaolo D'Urso is affiliated with Sapienza University of Rome in Italy. The research work spans multiple disciplines with a focus on Computer Science and Economics, Econometrics and Finance. Within these broad areas, key subfields of study include Economics and Econometrics, Artificial Intelligence, Signal Processing, Management Science and Operations Research, and Statistics and Probability.

The scientist's research topics cover various domains including Complex Systems and Time Series Analysis, Time Series Analysis and Forecasting, Advanced Clustering Algorithms Research, Anomaly Detection Techniques and Applications, Fuzzy Systems and Optimization, Face and Expression Recognition, and Complex Network Analysis Techniques.

Frequent publication venues where the scientist has contributed extensively include:

  • Social Indicators Research
  • Annals of Operations Research
  • Spatial Statistics
  • International Journal of Approximate Reasoning
  • Expert Systems with Applications

Significant recent papers authored or co-authored by Pierpaolo D'Urso are:

  • "Cepstral-based clustering of financial time series", 2020, Expert Systems with Applications
  • "Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques", 2022, International Journal of Approximate Reasoning
  • "Satisfaction and Tourism Expenditure Behaviour", 2020, Social Indicators Research
  • "Well-Being in the Italian Regions Over Time", 2020, Social Indicators Research
  • "Weighted score-driven fuzzy clustering of time series with a financial application", 2022, Expert Systems with Applications

The scientist has collaborated frequently with the following colleagues:

  • Livia De Giovanni
  • Vincenzina Vitale
  • Lorenzo Federico
  • Raffaele Mattera
  • Ángel López-Oriona

Best Publications

  • Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data

    Pierpaolo D'Urso

  • Autocorrelation-based fuzzy clustering of time series

    Pierpaolo D'Urso;Elizabeth Ann Maharaj

  • Least squares estimation of a linear regression model with LR fuzzy response

    Renato Coppi;Pierpaolo D'Urso;Paolo Giordani;Adriana Santoro

  • A least-squares approach to fuzzy linear regression analysis

    Pierpaolo D'Urso;Tommaso Gastaldi

  • A weighted fuzzy c-means clustering model for fuzzy data

    Pierpaolo D'Urso;Paolo Giordani

  • Fuzzy clustering of time series in the frequency domain

    Elizabeth Ann Maharaj;Pierpaolo D'Urso

  • Time Series Clustering and Classification

    Elizabeth Ann Maharaj;Pierpaolo D'Urso;Jorge Caiado

  • A Fuzzy Clustering Model for Multivariate Spatial Time Series

    Renato Coppi;Pierpaolo D’Urso;Paolo Giordani

  • Robust fuzzy regression analysis

    Pierpaolo D'Urso;Riccardo Massari;Adriana Santoro

  • Fuzzy segmentation of postmodern tourists

    Pierpaolo D'Urso;Marta Disegna;Riccardo Massari;Linda Osti

  • GARCH-based robust clustering of time series

    Pierpaolo D'Urso;Livia De Giovanni;Riccardo Massari

  • Wavelets-based clustering of multivariate time series

    Pierpaolo D'Urso;Elizabeth Ann Maharaj

  • Fuzzy and possibilistic clustering for fuzzy data

    Renato Coppi;Pierpaolo D'Urso;Paolo Giordani

  • A least squares approach to principal component analysis for interval valued data

    Pierpaolo D'Urso;Paolo Giordani

  • Clustering of financial time series

    Pierpaolo D’Urso;Carmela Cappelli;Dario Di Lallo;Riccardo Massari

  • Fuzzy Clustering for Data Time Arrays With Inlier and Outlier Time Trajectories

    P. D'Urso

  • An orderwise polynomial regression procedure for fuzzy data

    Pierpaolo D'Urso;Tommaso Gastaldi

  • Fuzzy clustering of mixed data

    Pierpaolo D’Urso;Riccardo Massari

  • Dissimilarity measures for time trajectories

    Pierpaolo D’Urso

  • Trimmed fuzzy clustering of financial time series based on dynamic time warping

    Pierpaolo D’Urso;Livia De Giovanni;Riccardo Massari

  • Fuzzy clustering of human activity patterns

    Pierpaolo Durso;Riccardo Massari

Frequent Co-Authors

María Ángeles Gil
María Ángeles Gil University of Oviedo
Fabrizio Durante
Fabrizio Durante University of Salento

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