World's Best Scientists 2026 revealed!
Graham Kendall

Graham Kendall

Award Badge
Computer Science
Malaysia
2026

D-Index & Metrics

Computer Science

D-Index
73
Citations
20470
World Ranking
1596
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Computer Science in Malaysia Leader Award
  • 2025 - Research.com Computer Science in Malaysia Leader Award
  • 2023 - Research.com Computer Science in Malaysia Leader Award
  • 2022 - Research.com Computer Science in Malaysia Leader Award

Overview

Graham Kendall is affiliated with MILA University in Malaysia and conducts research primarily within the fields of Engineering and Decision Sciences. Their work spans multiple subfields, including Industrial and Manufacturing Engineering, Management Science and Operations Research, Artificial Intelligence, Statistics, Probability and Uncertainty, and Information Systems and Management.

The main topics that characterize Kendall's research include Vehicle Routing Optimization Methods, Scheduling and Timetabling Solutions, scientometrics and bibliometrics research, Academic Publishing and Open Access, Transportation and Mobility Innovations, Artificial Intelligence in Healthcare and Education, and Scheduling and Optimization Algorithms.

Notable recent papers authored or co-authored by Kendall include:

  • Risks of abuse of large language models, like ChatGPT, in scientific publishing: Authorship, predatory publishing, and paper mills (2023), Learned Publishing
  • Analytics and machine learning in vehicle routing research (2021), International Journal of Production Research
  • A Survey of University Course Timetabling Problem: Perspectives, Trends and Opportunities (2021), IEEE Access
  • A survey of the state-of-the-art of optimisation methodologies in school timetabling problems (2020), Expert Systems with Applications
  • The General Combinatorial Optimization Problem: Towards Automated Algorithm Design (2020), IEEE Computational Intelligence Magazine

Frequent co-authors collaborating with Kendall include Nasser R. Sabar, Say Leng Goh, Jaime A. Teixeira da Silva, Ruibin Bai, and San Nah Sze. These collaborations reflect Kendall's active engagement in multi-author research initiatives.

Kendall's publications are concentrated in several key venues, which include:

  • IEEE Access
  • Publishing Research Quarterly
  • Journal of the Operational Research Society
  • The Journal of Academic Librarianship
  • International Journal of Production Research

The interdisciplinary nature of Kendall's research draws on methods and knowledge from engineering and decision sciences to address problems in vehicle routing, scheduling, timetabling, and algorithm optimization. The recurring focus on academic publishing topics, including risks related to large language models in scientific dissemination, highlights an engagement with current issues in scholarly communication.

Best Publications

  • A hyperheuristic approach to scheduling a sales summit

    Peter Cowling;Graham Kendall;Eric Soubeiga

  • Hyper-heuristics: a survey of the state of the art

    Edmund K. Burke;Michel Gendreau;Matthew R. Hyde;Graham Kendall

  • Hyper-Heuristics: An Emerging Direction in Modern Search Technology

    Edmund K. Burke;Graham Kendall;Jim Newall;Emma Hart

  • Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques

    Edmund K. Burke;Graham Kendall

  • A Classification of Hyper-heuristic Approaches

    Edmund K. Burke;Matthew Hyde;Graham Kendall;Gabriela Ochoa

  • A Tabu-Search Hyperheuristic for Timetabling and Rostering

    E. K. Burke;G. Kendall;E. Soubeiga

  • Genetic and Evolutionary Computation -- GECCO-2003

    Erick Cantú-Paz;James A. Foster;Kalyanmoy Deb;Lawrence David Davis

  • A New Placement Heuristic for the Orthogonal Stock-Cutting Problem

    E. K. Burke;G. Kendall;G. Whitwell

  • Diversity in genetic programming: an analysis of measures and correlation with fitness

    E.K. Burke;S. Gustafson;G. Kendall

  • Invited Review: Scheduling in sports: An annotated bibliography

    Graham Kendall;Sigrid Knust;Celso C. Ribeiro;Sebastián Urrutia

  • Exploring Hyper-heuristic Methodologies with Genetic Programming

    Edmund K. Burke;Mathew R. Hyde;Graham Kendall;Gabriela Ochoa

  • 2015 IEEE Symposium Series on Computational Intelligence

    Honorary Chairs;Jacek Zurada;Andries Engelbrecht;Mengjie Zhang

  • A tabu search hyper-heuristic approach to the examination timetabling problem at the MARA university of technology

    Graham Kendall;Naimah Mohd Hussin

  • A New Bottom-Left-Fill Heuristic Algorithm for the Two-Dimensional Irregular Packing Problem

    Edmund Burke;Robert Hellier;Graham Kendall;Glenn Whitwell

  • Complete and robust no-fit polygon generation for the irregular stock cutting problem

    Edmund K. Burke;Robert S. R. Hellier;Graham Kendall;Glenn Whitwell

  • A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization

    Khin Lwin;Rong Qu;Graham Kendall

  • HyFlex: a benchmark framework for cross-domain heuristic search

    Gabriela Ochoa;Matthew Hyde;Tim Curtois;Jose A. Vazquez-Rodriguez

  • A SURVEY OF NP-COMPLETE PUZZLES

    Graham Kendall;Andrew J. Parkes;Kristian Spoerer

  • An investigation of a hyperheuristic genetic algorithm applied to a trainer scheduling problem

    P. Cowling;G. Kendall;Limin Han

  • Evolving bin packing heuristics with genetic programming

    E. K. Burke;M. R. Hyde;G. Kendall

  • Evolutionary computation and games

    S.M. Lucas;G. Kendall

Frequent Co-Authors

Edmund K. Burke
Edmund K. Burke Bangor University
Rong Qu
Rong Qu University of Nottingham
Ender Özcan
Ender Özcan University of Nottingham
Michel Gendreau
Michel Gendreau Polytechnique Montréal
Peter I. Cowling
Peter I. Cowling Queen Mary University of London
Gabriela Ochoa
Gabriela Ochoa University of Stirling
Andries P. Engelbrecht
Andries P. Engelbrecht Stellenbosch University
Jonathan M. Garibaldi
Jonathan M. Garibaldi University of Nottingham
Sanja Petrovic
Sanja Petrovic University of Nottingham
Simon J. T. Pollard
Simon J. T. Pollard Cranfield University

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