World's Best Scientists 2026 revealed!
Dirk Van den Poel

Dirk Van den Poel

D-Index & Metrics

Computer Science

D-Index
57
Citations
12709
World Ranking
3850
National Ranking
41

Social Sciences and Humanities

D-Index
57
Citations
12853
World Ranking
1777
National Ranking
16

Research.com Recognitions

  • 2016 - ACM Senior Member

Overview

Dirk Van den Poel is affiliated with Ghent University in Belgium and has contributed extensively to the field of computer science. Their research spans various interdisciplinary subfields, including sociology and political science, information systems, computer networks and communications, marketing, and control and systems engineering.

The primary topics explored in their works include:

  • Digital Marketing and Social Media
  • Customer Service Quality and Loyalty
  • Cloud Computing and Resource Management
  • Effects of Environmental Stressors on Livestock
  • Animal Behavior and Welfare Studies
  • Customer churn and segmentation
  • Fault Detection and Control Systems

Recent publications by Van den Poel reflect this diverse expertise, with papers appearing in well-recognized venues. Notable examples include:

  • Evaluation of Stream Processing Frameworks, 2020, IEEE Transactions on Parallel and Distributed Systems
  • Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms, 2021, Decision Support Systems
  • Adding interpretability to predictive maintenance by machine learning on sensor data, 2021, Computers & Chemical Engineering
  • Predicting the milk yield curve of dairy cows in the subsequent lactation period using deep learning, 2020, Computers and Electronics in Agriculture
  • B2Boost: instance-dependent profit-driven modelling of B2B churn, 2022, Annals of Operations Research

Van den Poel collaborates frequently with several researchers, including Dirk Thorleuchter, Matthias Bogaert, Anita Prinzie, Giselle van Dongen, and Arno Liseune. These partnerships have resulted in a series of co-authored publications contributing to the advancement of their shared research interests.

Their research has been disseminated through various publication venues, with multiple contributions to:

  • RePEc: Research Papers in Economics
  • Computers and Electronics in Agriculture
  • Decision Support Systems
  • Computers & Chemical Engineering
  • IEEE Access

Dirk Van den Poel was recognized as an ACM Senior Member in 2016, highlighting a degree of professional acknowledgment within the computing community.

Best Publications

  • Evaluating multiple classifiers for stock price direction prediction

    Michel Ballings;Dirk Van den Poel;Nathalie Hespeels;Ruben Gryp

  • Handling class imbalance in customer churn prediction

    Unknown

  • Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques

    Kristof Coussement;Dirk Van den Poel

  • Customer attrition analysis for financial services using proportional hazard models

    Dirk Van den Poel;Bart Larivière

  • Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting

    Wouter Buckinx;Dirk Van den Poel

  • Consumer Acceptance of the Internet as a Channel of Distribution

    Dirk Van den Poel;Joseph Leunis

  • Predicting customer retention and profitability by using random forests and regression forests techniques

    Bart Larivière;Dirk Van den Poel

  • Predicting online-purchasing behaviour

    Dirk Van den Poel;Wouter Buckinx

  • CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services

    Jonathan Burez;Dirk Van den Poel

  • Bayesian neural network learning for repeat purchase modelling in direct marketing

    Bart Baesens;Stijn Viaene;Dirk Van den Poel;Jan Vanthienen

  • The Role of Marketer-Generated Content in Customer Engagement Marketing

    Matthijs Meire;Kelly Hewett;Michel Ballings;V. Kumar

  • Empathy as added value in predicting donation behavior

    Griet A. Verhaert;Dirk Van den Poel

  • Joint optimization of customer segmentation and marketing policy to maximize long-term profitability

    Jedid-Jah Jonker;Nanda Piersma;Dirk Van den Poel

  • Improving customer complaint management by automatic email classification using linguistic style features as predictors

    Kristof Coussement;Dirk Van den Poel

  • Bayesian kernel based classification for financial distress detection

    Tony Van Gestel;Bart Baesens;Johan A.K. Suykens;Dirk Van den Poel

  • Random Forests for multiclass classification: Random MultiNomial Logit

    Anita Prinzie;Dirk Van den Poel

  • Integrating the voice of customers through call center emails into a decision support system for churn prediction

    Kristof Coussement;Dirk Van den Poel

  • Bayesian network classifiers for identifying the slope of the customer lifecycle of long-life customers

    Bart Baesens;Geert Verstraeten;Dirk Van den Poel;Michael Egmont-Petersen

  • Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services

    B. Larivière;Dirk Van den Poel

  • Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers

    Kristof Coussement;Dirk Van den Poel

  • An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction

    Koen W. De Bock;Dirk Van den Poel

Frequent Co-Authors

Bart Baesens
Bart Baesens KU Leuven
Geert Wets
Geert Wets Hasselt University
Bart De Moor
Bart De Moor KU Leuven
Vadlamani Ravi
Vadlamani Ravi Institute for Development and Research in Banking Technology

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