World's Best Scientists 2026 revealed!
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Computer Science
Portugal
2026

D-Index & Metrics

Computer Science

D-Index
47
Citations
12263
World Ranking
6365
National Ranking
11

Research.com Recognitions

  • 2026 - Research.com Computer Science in Portugal Leader Award

Overview

Paulo Cortez is affiliated with the University of Minho in Portugal and has contributed extensively to research across several fields, including Computer Science, Engineering, and Decision Sciences. Their work prominently engages with subfields such as Artificial Intelligence, Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty, Management Information Systems, and Signal Processing.

The scientist's research encompasses numerous topics that include:

  • Industrial Vision Systems and Defect Detection
  • Anomaly Detection Techniques and Applications
  • Advanced Statistical Process Monitoring
  • Imbalanced Data Classification Techniques
  • Big Data and Business Intelligence
  • Forecasting Techniques and Applications
  • Advanced Multi-Objective Optimization Algorithms

Paulo Cortez's recent papers illustrate a focus on applied analytics, optimization models, and industry-relevant forecasting methods. Notable works include:

  • "A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain" (2020, Decision Support Systems)
  • "Operations research models and methods for safety stock determination: A review" (2020, Operations Research Perspectives)
  • "A data-driven approach to measure restaurant performance by combining online reviews with historical sales data" (2020, International Journal of Hospitality Management)
  • "Business analytics in Industry 4.0: A systematic review" (2021, Expert Systems)
  • "Advancing Logistics 4.0 with the Implementation of a Big Data Warehouse: A Demonstration Case for the Automotive Industry" (2021, Electronics)

The scientist frequently collaborates with colleagues such as André Pilastri, Luís Miguel Matos, Pedro José Pereira, Arthur Matta, and Luís Ferreira, indicating significant co-authorship in their publications.

Paulo Cortez has contributed to book publications mainly through Springer Science+Business Media, publishing titles in 2022 under the "Artificial Intelligence Applications and Innovations" series presented at the IFIP WG 12.5 International Workshops.

Common venues where Paulo Cortez's work appears include Expert Systems, Procedia Computer Science, Software Impacts, Neural Computing and Applications, and Operations Research Perspectives.

Best Publications

  • Modeling wine preferences by data mining from physicochemical properties

    Paulo Cortez;António Cerdeira;Fernando Almeida;Telmo Matos

  • A data-driven approach to predict the success of bank telemarketing

    Sérgio Moro;Paulo Cortez;Paulo Rita

  • Using data mining to predict secondary school student performance

    Paulo Cortez;Alice Maria Gonçalves Silva

  • Using sensitivity analysis and visualization techniques to open black box data mining models

    Paulo Cortez;Mark J. Embrechts

  • A data mining approach to predict forest fires using meteorological data

    Paulo Cortez;Aníbal de Jesus Raimundo Morais

  • The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices

    Nuno Ernesto Salgado Oliveira;Paulo Cortez;Nelson Areal

  • Particle swarms for feedforward neural network training

    R. Mendes;P. Cortez;M. Rocha;J. Neves

  • Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis

    Alexandra Amado;Paulo Cortez;Paulo Rita;Paulo Rita;Sérgio Moro

  • Business intelligence in banking

    Sérgio Moro;Paulo Cortez;Paulo Rita

  • Using data mining for bank direct marketing: an application of the CRISP-DM methodology

    Sérgio Moro;Raul Laureano;Paulo Cortez

  • Data mining with neural networks and support vector machines using the R/rminer tool

    Paulo Cortez

  • Multi-scale Internet traffic forecasting using neural networks and time series methods

    Paulo Cortez;Miguel Rio;Miguel Rocha;Pedro Sousa

  • A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News

    Kelwin Fernandes;Pedro Vinagre;Paulo Cortez

  • Stock market sentiment lexicon acquisition using microblogging data and statistical measures

    Nuno Oliveira;Paulo Cortez;Nelson Areal

  • On the Predictability of Stock Market Behavior Using StockTwits Sentiment and Posting Volume

    Nuno Oliveira;Paulo Cortez;Nelson Areal

  • Evolution of neural networks for classification and regression

    Miguel Rocha;Paulo Cortez;José Neves

  • Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns

    Joaquim Agostinho Barbosa Tinoco;A. Gomes Correia;Paulo Cortez

  • Internet Traffic Forecasting using Neural Networks

    P. Cortez;M. Rio;M. Rocha;P. Sousa

  • Opening black box Data Mining models using Sensitivity Analysis

    Paulo Cortez;Mark J. Embrechts

  • Internet Traffic Forecasting using Neural Networks

    Unknown

  • Evolving Time Series Forecasting ARMA Models

    Paulo Cortez;Miguel Rocha;José Neves

Frequent Co-Authors

Miguel Rocha
Miguel Rocha University of Minho
Vaclav Snasel
Vaclav Snasel VSB – Technical University of Ostrava
Emilio Corchado
Emilio Corchado University of Salamanca
Bernadette Dorizzi
Bernadette Dorizzi Télécom SudParis
Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Juan Andrade-Cetto
Juan Andrade-Cetto Universitat Politècnica de Catalunya

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