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D-Index & Metrics

Computer Science

D-Index
44
Citations
27346
World Ranking
7347
National Ranking
119

Overview

Joost N. Kok is affiliated with the University of Twente in the Netherlands. Their research spans several interdisciplinary areas, prominently including computer science, medicine, and engineering. The scientist's work engages with biomedical engineering, orthopedics and sports medicine, artificial intelligence, computational theory and mathematics, and computer vision and pattern recognition.

The main research topics covered by Joost N. Kok include lower extremity biomechanics and pathologies, sports performance and training, context-aware activity recognition systems, anomaly detection techniques and applications, time series analysis and forecasting, diabetic foot ulcer assessment and management, as well as sports injuries and prevention.

Frequent publication venues for their work include Neurocomputing, Frontiers in Sports and Active Living, Journal of Applied Developmental Psychology, Journal of Applied Biomechanics, and Zenodo (CERN European Organization for Nuclear Research).

Recent published papers by Joost N. Kok are:

  • An ensemble of autonomous auto-encoders for human activity recognition, 2021, Neurocomputing
  • Estimating 3D ground reaction forces in running using three inertial measurement units, 2023, Frontiers in Sports and Active Living
  • Social connectedness at the playground before and after COVID-19 school closure, 2023, Journal of Applied Developmental Psychology
  • Repeatability of Vertical Ground Reaction Force Estimation During Running on the Athletics Track on 3 Different Days, 2025, Journal of Applied Biomechanics
  • JUCS - Journal of Universal Computer Science, 2020, Zenodo (CERN European Organization for Nuclear Research)

Joost N. Kok has collaborated frequently with several co-authors, including Bouke L. Scheltinga, Jaap H. Buurke, Jasper Reenalda, Kemilly Dearo Garcia, and Cláudio Rebelo de Sá. These collaborations have contributed to a range of studies particularly in biomechanics and sports medicine.

Best Publications

  • The FAIR Guiding Principles for scientific data management and stewardship

    Mark D Wilkinson;Michel Dumontier;IJsbrand Jan Aalbersberg;Gabrielle Appleton

  • Addendum: The FAIR Guiding Principles for scientific data management and stewardship

    Mark D. Wilkinson;Michel Dumontier;Ijsbrand Jan Aalbersberg;Gabrielle Appleton

  • Error-backpropagation in temporally encoded networks of spiking neurons

    S. M. Bohte;J. A. L Poutre;Joost N. Kok

  • A quickstart in frequent structure mining can make a difference

    Siegfried Nijssen;Joost N. Kok

  • Handbook of Natural Computing

    Grzegorz Rozenberg;Thomas Bck;Joost N. Kok

  • Frequent Subtree Mining - An Overview

    Yun Chi;Richard R. Muntz;Siegfried Nijssen;Joost N. Kok

  • The identification of Parkinson's disease subtypes using cluster analysis: a systematic review.

    Stephanie M. van Rooden;Willem J. Heiser;Joost N. Kok;Joost N. Kok;Dagmar Verbaan

  • Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks

    S.M. Bohte;H. La Poutre;J.N. Kok

  • Knowledge Discovery in Databases: PKDD 2007

    Joost N. Kok;Jacek Koronacki;Ramon Lopez de Mantaras;Stan Matwin

  • Machine Learning: ECML 2007

    Joost N. Kok;Jacek Koronacki;Raomon Lopez de Mantaras;Stan Matwin

  • The Gaston Tool for Frequent Subgraph Mining

    Siegfried Nijssen;Joost N. Kok

  • SpikeProp: backpropagation for networks of spiking neurons.

    Sander M. Bohte;Joost N. Kok;Johannes A. La Poutré

  • Efficient discovery of frequent unordered trees

    Siegfried Nijssen;Joost Kok

  • Orgy in the Computer: Multi-Parent Reproduction in Genetic Algorithms

    A. E. Eiben;Cees H. M. van Kemenade;Joost N. Kok

  • Genetic Programming for data classification: partitioning the search space

    Jeroen Eggermont;Joost N. Kok;Walter A. Kosters

  • Denotational semantics of a parallel object-oriented language

    P. America;J. de Bakker;J. N. Kok;J. Rutten

  • Operational semantics of a parallel object-oriented language

    Pierre America;Jaco de Bakker;Joost N. Kok;Jan J. M. M. Rutten

  • Data Mining Approaches to Criminal Career Analysis

    J.S. de Bruin;T.K. Cocx;W.A. Kosters;J.F.J. Laros

  • Faster association rules for multiple relations

    Siegfried Nijssen;Joost Kok

  • The molecule evoluator. An interactive evolutionary algorithm for the design of drug-like molecules.

    Eric-Wubbo Lameijer;Joost N. Kok;Thomas Bäck;Adriaan P. IJzerman

  • Unsupervised clustering with spiking neurons by sparse temporal coding and multi-layer RBF networks

    Sander M. Bohte;Han A. La Poutre;Joost N. Kok

Frequent Co-Authors

Thomas Bäck
Thomas Bäck Leiden University
Jan Rutten
Jan Rutten Radboud University
Siegfried Nijssen
Siegfried Nijssen Université Catholique de Louvain
Catuscia Palamidessi
Catuscia Palamidessi French Institute for Research in Computer Science and Automation - INRIA
Dunja Mladenic
Dunja Mladenic Jožef Stefan Institute
Stan Matwin
Stan Matwin Dalhousie University
Michael Emmerich
Michael Emmerich Leiden University
Grzegorz Rozenberg
Grzegorz Rozenberg Leiden University
Farhad Arbab
Farhad Arbab Leiden University
Adriaan P. IJzerman
Adriaan P. IJzerman Leiden University

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