The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Graham Kendall sits on this spectrum.
This scientist: 313 publications — 76th percentile
76% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Graham Kendall sits on this spectrum.
This scientist: 73 D-Index — 89th percentile
89% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
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:
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:
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.
Peter Cowling;Graham Kendall;Eric Soubeiga
Edmund K. Burke;Michel Gendreau;Matthew R. Hyde;Graham Kendall
Edmund K. Burke;Graham Kendall;Jim Newall;Emma Hart
Edmund K. Burke;Graham Kendall
Edmund K. Burke;Matthew Hyde;Graham Kendall;Gabriela Ochoa
E. K. Burke;G. Kendall;E. Soubeiga
Erick Cantú-Paz;James A. Foster;Kalyanmoy Deb;Lawrence David Davis
E. K. Burke;G. Kendall;G. Whitwell
E.K. Burke;S. Gustafson;G. Kendall
Graham Kendall;Sigrid Knust;Celso C. Ribeiro;Sebastián Urrutia
Edmund K. Burke;Mathew R. Hyde;Graham Kendall;Gabriela Ochoa
Honorary Chairs;Jacek Zurada;Andries Engelbrecht;Mengjie Zhang
Graham Kendall;Naimah Mohd Hussin
Edmund Burke;Robert Hellier;Graham Kendall;Glenn Whitwell
Edmund K. Burke;Robert S. R. Hellier;Graham Kendall;Glenn Whitwell
Khin Lwin;Rong Qu;Graham Kendall
Gabriela Ochoa;Matthew Hyde;Tim Curtois;Jose A. Vazquez-Rodriguez
Graham Kendall;Andrew J. Parkes;Kristian Spoerer
P. Cowling;G. Kendall;Limin Han
E. K. Burke;M. R. Hyde;G. Kendall
S.M. Lucas;G. Kendall
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