Kristof Coussement

Kristof Coussement publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where Kristof Coussement sits on this spectrum.

Kristof Coussement D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where Kristof Coussement sits on this spectrum.

Best Publications

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

  Kristof Coussement;Dirk Van den Poel

  605
  Citations

• A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

  Arno De Caigny;Kristof Coussement;Koen W. De Bock

  527
  Citations

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

  Kristof Coussement;Dirk Van den Poel

  242
  Citations

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

  Kristof Coussement;Dirk Van den Poel

  239
  Citations

• A comparative analysis of data preparation algorithms for customer churn prediction

  Kristof Coussement;Stefan Lessmann;Geert Verstraeten

  207
  Citations

• Identifying influencers on social media

  Paul Harrigan;Timothy M. Daly;Kristof Coussement;Kristof Coussement;Julie A. Lee

  204
  Citations

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

  Kristof Coussement;Dirk Van den Poel

  203
  Citations

• Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning

  Kristof Coussement;Koen W. De Bock

  198
  Citations

• Improved marketing decision making in a customer churn prediction context using generalized additive models

  Kristof Coussement;Dries F. Benoit;Dirk Van den Poel

  149
  Citations

• Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques

  K. Coussement;D. Van Den Poel

  146
  Citations

• Incorporating textual information in customer churn prediction models based on a convolutional neural network

  Arno De Caigny;Arno De Caigny;Kristof Coussement;Kristof Coussement;Koen W. De Bock;Stefan Lessmann

  131
  Citations

• Data Accuracy’s Impact on Segmentation Performance: Benchmarking RFM Analysis, Logistic Regression, and Decision Trees

  Kristof Coussement;Filip A.M. Van den Bossche;Filip A.M. Van den Bossche;Koen W. De Bock

  127
  Citations

• Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda

  Unknown

  99
  Citations

• Acceptance of text-mining systems: The signaling role of information quality

  Nathalie T.M. Demoulin;Kristof Coussement

  81
  Citations

• A framework for configuring collaborative filtering-based recommendations derived from purchase data

  Stijn Geuens;Kristof Coussement;Koen W. De Bock

  78
  Citations

• Customer engagement with digitalized interactive platforms in retailing

  Unknown

  70
  Citations

• Targeting customers for profit: An ensemble learning framework to support marketing decision-making

  Stefan Lessmann;Johannes Haupt;Kristof Coussement;Koen W. De Bock

  63
  Citations

• Extending business failure prediction models with textual website content using deep learning

  Unknown

  63
  Citations

• Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach

  Koen W. De Bock;Kristof Coussement;Kristof Coussement;Stefan Lessmann

  59
  Citations

• Interpretable data science for decision making

  Kristof Coussement;Dries F. Benoit

  51
  Citations