James Bekker

525 total citations
32 papers, 349 citations indexed

About

James Bekker is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, James Bekker has authored 32 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 7 papers in Control and Systems Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in James Bekker's work include Simulation Techniques and Applications (7 papers), Transportation Planning and Optimization (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). James Bekker is often cited by papers focused on Simulation Techniques and Applications (7 papers), Transportation Planning and Optimization (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). James Bekker collaborates with scholars based in South Africa, Australia and Austria. James Bekker's co-authors include Rian van der Merwe, Chris Aldrich, I.K. Craig, Petrus Christiaan Pistorius, Jan H. van Vuuren, Moon‐Young Yoon, Rasmus Astrup, M.J. Booysen, Bruce Talbot and Steve Kroon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and European Journal of Operational Research.

In The Last Decade

James Bekker

27 papers receiving 321 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Bekker South Africa 8 77 69 63 49 43 32 349
Gwo‐Ji Sheen Taiwan 11 54 0.7× 62 0.9× 43 0.7× 25 0.5× 185 4.3× 18 464
Jaime Campos Sweden 12 26 0.3× 82 1.2× 16 0.3× 29 0.6× 138 3.2× 57 516
Volker Stich Germany 10 20 0.3× 40 0.6× 26 0.4× 18 0.4× 146 3.4× 47 369
Bhuvan Unhelkar United States 13 57 0.7× 21 0.3× 44 0.7× 9 0.2× 47 1.1× 81 568
Rafael Becerril‐Arreola Canada 9 19 0.2× 82 1.2× 24 0.4× 22 0.4× 17 0.4× 26 334
Behrouz Dorri Iran 8 17 0.2× 49 0.7× 32 0.5× 23 0.5× 172 4.0× 15 410
Manimuthu Arunmozhi Singapore 12 8 0.1× 35 0.5× 27 0.4× 33 0.7× 56 1.3× 23 436
Tao Lei China 11 30 0.4× 21 0.3× 53 0.8× 95 1.9× 8 0.2× 43 625
Süleyman Ersöz Türkiye 9 13 0.2× 25 0.4× 18 0.3× 45 0.9× 39 0.9× 46 280
K.H. Leung Hong Kong 15 30 0.4× 44 0.6× 50 0.8× 16 0.3× 280 6.5× 34 644

Countries citing papers authored by James Bekker

Since Specialization
Citations

This map shows the geographic impact of James Bekker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James Bekker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Bekker more than expected).

Fields of papers citing papers by James Bekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Bekker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James Bekker. The network helps show where James Bekker may publish in the future.

Co-authorship network of co-authors of James Bekker

This figure shows the co-authorship network connecting the top 25 collaborators of James Bekker. A scholar is included among the top collaborators of James Bekker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Bekker. James Bekker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Booysen, M.J., et al.. (2025). Comparison of Optimisation Techniques for the Electric Vehicle Scheduling Problem. Smart Cities. 8(3). 85–85.
2.
Bekker, James, et al.. (2024). Scheduling with mixed fleets to improve the feasibility of electric minibus taxis: A case scenario of South Africa. Journal of Cleaner Production. 472. 143512–143512.
3.
Bekker, James, et al.. (2024). Understanding the influence of tree size distribution on the CTL harvesting productivity of two different size harvesting machines. European Journal of Forest Research. 143(4). 1199–1211. 2 indexed citations
4.
Bekker, James, et al.. (2024). Investigating scheduling of minibus taxis in South Africa's eventual electric paratransit. Journal of Transport Geography. 123. 104093–104093. 3 indexed citations
5.
Bekker, James, et al.. (2022). Physical Hazards in Wild Ungulate Meat Harvested for Food Purposes: A Systematic Review. International Journal of Veterinary Science. 12(3, 2023). 272–283. 5 indexed citations
6.
Bekker, James, et al.. (2022). BASE MODELS FOR SIMULATING THE SOUTH AFRICAN FORESTRY SUPPLY CHAIN. The South African Journal of Industrial Engineering. 33(4).
7.
Bekker, James, et al.. (2020). USING MACHINE LEARNING TO PREDICT THE NEXT PURCHASE DATE FOR AN INDIVIDUAL RETAIL CUSTOMER. The South African Journal of Industrial Engineering. 31(3). 7 indexed citations
8.
Yoon, Moon‐Young & James Bekker. (2018). Considering sample means in Rinott’s procedure with a Bayesian approach. European Journal of Operational Research. 273(1). 249–258. 2 indexed citations
9.
Bekker, James, et al.. (2018). DEVELOPMENT OF A DISCRETE-EVENT, STOCHASTIC MULTI-OBJECTIVE METAHEURISTIC SIMULATION OPTIMISATION SUITE FOR A COMMERCIAL SOFTWARE PACKAGE. The South African Journal of Industrial Engineering. 29(3). 1 indexed citations
10.
Yoon, Moon‐Young & James Bekker. (2017). SINGLE- AND MULTI-OBJECTIVE RANKING AND SELECTION PROCEDURES IN SIMULATION: A HISTORICAL REVIEW. The South African Journal of Industrial Engineering. 28(2). 2 indexed citations
11.
Bekker, James, et al.. (2017). REAL-TIME SCHEDULING IN A SENSORISED FACTORY USING CLOUD-BASED SIMULATION WITH MOBILE DEVICE ACCESS. The South African Journal of Industrial Engineering. 28(4). 3 indexed citations
12.
Bekker, James, et al.. (2017). CUSTOMER SUPER-PROFILING DEMONSTRATOR TO ENABLE EFFICIENT TARGETING IN MARKETING CAMPAIGNS. The South African Journal of Industrial Engineering. 28(3). 8 indexed citations
13.
Bekker, James. (2013). Multi-Objective Buffer Space Allocation with the Cross-Entropy Method. International Journal of Simulation Modelling. 12(1). 50–61. 16 indexed citations
14.
Bekker, James, et al.. (2012). USING THE POPULATION-BASED INCREMENTAL LEARNING ALGORITHM WITH COMPUTER SIMULATION: SOME APPLICATIONS. The South African Journal of Industrial Engineering. 19(1). 3 indexed citations
15.
Bekker, James, et al.. (2012). Multi-objective optimisation with stochastic discrete-event simulation in retail banking: a case study. SHILAP Revista de lepidopterología. 28(2). 117–117. 2 indexed citations
16.
Bekker, James, et al.. (2008). Planning Formula One race strategies using discrete-event simulation. Journal of the Operational Research Society. 60(7). 952–961. 20 indexed citations
17.
Bekker, James, et al.. (2008). Using computer simulation to determine operations policies for a mechanised car park. Simulation Modelling Practice and Theory. 16(6). 613–625. 4 indexed citations
18.
Merwe, Rian van der & James Bekker. (2003). A framework and methodology for evaluating e‐commerce Web sites. Internet Research. 13(5). 330–341. 120 indexed citations
19.
Bekker, James, et al.. (1999). Drawing conclusions from deterministic logistic simulation models. Logistics Information Management. 12(6). 460–466. 6 indexed citations
20.
Bekker, James, I.K. Craig, & Petrus Christiaan Pistorius. (1998). Modelling and Specification for Control of an EAF Off-Gas Process. IFAC Proceedings Volumes. 31(23). 55–60. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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