Schalk Kok

2.1k total citations
91 papers, 1.5k citations indexed

About

Schalk Kok is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Schalk Kok has authored 91 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Mechanical Engineering, 31 papers in Mechanics of Materials and 24 papers in Materials Chemistry. Recurrent topics in Schalk Kok's work include Advanced Multi-Objective Optimization Algorithms (17 papers), High-Velocity Impact and Material Behavior (12 papers) and Metallurgy and Material Forming (12 papers). Schalk Kok is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (17 papers), High-Velocity Impact and Material Behavior (12 papers) and Metallurgy and Material Forming (12 papers). Schalk Kok collaborates with scholars based in South Africa, United States and India. Schalk Kok's co-authors include Daniël N. Wilke, N. Govender, A.J. Beaudoin, Daniel A. Tortorelli, Luke Gregor, Pedro M. S. Monteiro, Albert A. Groenwold, Dawood Desai, M.A. Lebyodkin and Smith Salifu and has published in prestigious journals such as Acta Materialia, Computer Methods in Applied Mechanics and Engineering and Industrial & Engineering Chemistry Research.

In The Last Decade

Schalk Kok

88 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Schalk Kok South Africa 20 483 395 357 344 213 91 1.5k
Zhengru Ren Norway 23 262 0.5× 261 0.7× 144 0.4× 220 0.6× 216 1.0× 70 1.8k
Esteban Samaniego Ecuador 21 488 1.0× 492 1.2× 419 1.2× 1.3k 3.9× 724 3.4× 48 2.7k
Michael Sprague United States 23 160 0.3× 653 1.7× 79 0.2× 190 0.6× 199 0.9× 84 1.7k
T. J. Chung United States 17 364 0.8× 1.3k 3.3× 104 0.3× 377 1.1× 217 1.0× 85 2.2k
Longbin Tao United Kingdom 31 558 1.2× 1.8k 4.6× 265 0.7× 358 1.0× 280 1.3× 189 3.1k
Željko Tuković Croatia 21 301 0.6× 1.1k 2.8× 182 0.5× 190 0.6× 116 0.5× 49 1.9k
Bijan Mohammadi Iran 32 823 1.7× 1.2k 3.1× 524 1.5× 2.0k 5.7× 708 3.3× 241 4.2k
Muneo Hori Japan 29 440 0.9× 257 0.7× 381 1.1× 2.0k 5.8× 1.3k 6.3× 286 4.0k
Ehsan Haghighat United States 19 426 0.9× 400 1.0× 138 0.4× 659 1.9× 535 2.5× 41 2.1k

Countries citing papers authored by Schalk Kok

Since Specialization
Citations

This map shows the geographic impact of Schalk Kok'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 Schalk Kok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Schalk Kok more than expected).

Fields of papers citing papers by Schalk Kok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Schalk Kok. 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 Schalk Kok. The network helps show where Schalk Kok may publish in the future.

Co-authorship network of co-authors of Schalk Kok

This figure shows the co-authorship network connecting the top 25 collaborators of Schalk Kok. A scholar is included among the top collaborators of Schalk Kok 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 Schalk Kok. Schalk Kok 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.
Wilke, Daniël N., et al.. (2023). Spatio-Temporal Gradient Enhanced Surrogate Modeling Strategies. Mathematical and Computational Applications. 28(2). 57–57. 2 indexed citations
2.
Wilke, Daniël N., et al.. (2023). A novel and fully automated coordinate system transformation scheme for near optimal surrogate construction. Computer Methods in Applied Mechanics and Engineering. 419. 116648–116648. 2 indexed citations
3.
Kok, Schalk, et al.. (2021). The effect of decarburization on the fatigue life of overhead line hardware. Journal of the Southern African Institute of Mining and Metallurgy. 121(10). 1–6.
4.
Desai, Dawood, et al.. (2021). Coupled explicit-damping simulation of laser shock peening on x12Cr steam turbine blades. Journal of Physics Conference Series. 1780(1). 12002–12002. 4 indexed citations
5.
Salifu, Smith, Dawood Desai, & Schalk Kok. (2020). Prediction and Comparison of Creep Behavior of X20 Steam Plant Piping Network with Different Phenomenological Creep Models. Journal of Materials Engineering and Performance. 29(11). 7382–7395. 9 indexed citations
6.
Inglis, Helen M., et al.. (2020). The sensitivity of failure analysis of boiler tubes to the shape of elliptical external erosion flaws. Engineering Failure Analysis. 119. 104952–104952. 3 indexed citations
7.
Wilke, Daniël N., et al.. (2019). On the rotational variance of the differential evolution algorithm. Advances in Engineering Software. 136. 102691–102691. 1 indexed citations
9.
Gregor, Luke, Schalk Kok, & Pedro M. S. Monteiro. (2018). Interannual drivers of the seasonal cycle of CO 2 in the Southern Ocean. Biogeosciences. 15(8). 2361–2378. 41 indexed citations
10.
Gregor, Luke, Schalk Kok, & Pedro M. S. Monteiro. (2017). Empirical methods for the estimation of Southern Ocean CO 2 : support vector and random forest regression. Biogeosciences. 14(23). 5551–5569. 38 indexed citations
11.
Bekker, Anriëtte, T.J. Cloete, Anusuya Chinsamy, G.N. Nurick, & Schalk Kok. (2014). Constant strain rate compression of bovine cortical bone on the Split-Hopkinson Pressure Bar. Materials Science and Engineering C. 46. 443–449. 24 indexed citations
12.
Engelbrecht, Andries P., et al.. (2014). Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets. IEEE Transactions on Evolutionary Computation. 19(3). 341–358. 16 indexed citations
13.
Oxtoby, Oliver F, et al.. (2013). An enhanced finite volume method to model 2D linear elastic structures. Applied Mathematical Modelling. 38(7-8). 2265–2279. 22 indexed citations
14.
Bekker, Anriëtte, Schalk Kok, T.J. Cloete, & G.N. Nurick. (2013). Introducing objective power law rate dependence into a visco-elastic material model of bovine cortical bone. International Journal of Impact Engineering. 66. 28–36. 9 indexed citations
15.
Govender, N., et al.. (2013). Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs. Journal of Computational and Applied Mathematics. 270. 386–400. 98 indexed citations
16.
Wilke, Daniël N., et al.. (2012). Human skull shape and masticatory induced stress: Objective comparison through the use of non‐rigid registration. International Journal for Numerical Methods in Biomedical Engineering. 28(1). 170–185. 6 indexed citations
17.
Grobler, Jacomine, Andries P. Engelbrecht, Schalk Kok, & V.S.S. Yadavalli. (2009). Metaheuristics for the multi-objective FJSP with sequence-dependent set-up times, auxiliary resources and machine down time. Annals of Operations Research. 180(1). 165–196. 28 indexed citations
18.
Groenwold, Albert A., et al.. (2008). An augmented Lagrangian approach to non-convex SAO using diagonal quadratic approximations. Structural and Multidisciplinary Optimization. 38(4). 415–421. 7 indexed citations
19.
Kok, Schalk, et al.. (2006). A particle swarm minimization algorithm with enhanced hill climbing capability. South African Journal of Science. 102. 543–547. 3 indexed citations
20.
Kok, Schalk, Daniël N. Wilke, & Albert A. Groenwold. (2005). Recent Developments of the Particle Swarm Optimization Algorithm.. Computational intelligence. 392–397. 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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