S.C. Chiam

677 total citations
13 papers, 481 citations indexed

About

S.C. Chiam is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, S.C. Chiam has authored 13 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Computational Theory and Mathematics and 3 papers in Management Science and Operations Research. Recurrent topics in S.C. Chiam's work include Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Evolutionary Algorithms and Applications (9 papers). S.C. Chiam is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (11 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Evolutionary Algorithms and Applications (9 papers). S.C. Chiam collaborates with scholars based in Singapore. S.C. Chiam's co-authors include Kay Chen Tan, Chi-Keong Goh, Abdullah Al Mamun and C. Y. Cheong and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

S.C. Chiam

13 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.C. Chiam Singapore 8 295 223 131 49 42 13 481
Antonio López Jáimes Mexico 10 379 1.3× 420 1.9× 182 1.4× 23 0.5× 24 0.6× 17 588
Ivona Brajević Serbia 13 355 1.2× 163 0.7× 96 0.7× 19 0.4× 73 1.7× 23 586
Jui-Fang Chang Taiwan 8 199 0.7× 76 0.3× 101 0.8× 23 0.5× 22 0.5× 32 357
Tunçhan Cura Türkiye 9 184 0.6× 44 0.2× 167 1.3× 50 1.0× 98 2.3× 14 452
Arnab Nilim United States 8 204 0.7× 74 0.3× 177 1.4× 16 0.3× 15 0.4× 12 530
Manuel Valenzuela-Rendón Mexico 10 319 1.1× 73 0.3× 186 1.4× 38 0.8× 154 3.7× 27 584
Douglas J. White United Kingdom 7 116 0.4× 74 0.3× 70 0.5× 10 0.2× 52 1.2× 11 433
Claudio Gentile Italy 15 143 0.5× 206 0.9× 227 1.7× 19 0.4× 67 1.6× 45 885
Jason M. Aughenbaugh United States 10 68 0.2× 104 0.5× 109 0.8× 12 0.2× 63 1.5× 28 431
Nelson Rangel-Valdez Mexico 10 111 0.4× 111 0.5× 96 0.7× 12 0.2× 72 1.7× 54 314

Countries citing papers authored by S.C. Chiam

Since Specialization
Citations

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

Fields of papers citing papers by S.C. Chiam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.C. Chiam. 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 S.C. Chiam. The network helps show where S.C. Chiam may publish in the future.

Co-authorship network of co-authors of S.C. Chiam

This figure shows the co-authorship network connecting the top 25 collaborators of S.C. Chiam. A scholar is included among the top collaborators of S.C. Chiam 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 S.C. Chiam. S.C. Chiam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Chiam, S.C., Kay Chen Tan, & Abdullah Al Mamun. (2013). Dynamic index tracking via multi-objective evolutionary algorithm. Applied Soft Computing. 13(7). 3392–3408. 27 indexed citations
2.
Chiam, S.C., Kay Chen Tan, & Abdullah Al Mamun. (2010). Exploiting molecular dynamics for multi-objective optimization. Expert Systems with Applications. 37(8). 5981–5992. 1 indexed citations
3.
Chiam, S.C., Kay Chen Tan, & Abdullah Al Mamun. (2009). Investigating technical trading strategy via an multi-objective evolutionary platform. Expert Systems with Applications. 36(7). 10408–10423. 14 indexed citations
4.
Goh, Chi-Keong, et al.. (2009). A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. European Journal of Operational Research. 202(1). 42–54. 182 indexed citations
5.
Chiam, S.C., Kay Chen Tan, Chi-Keong Goh, & Abdullah Al Mamun. (2008). Improving Locality in Binary Representation via Redundancy. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(3). 808–825. 1 indexed citations
6.
Chiam, S.C., et al.. (2008). Evolutionary multi-objective portfolio optimization in practical context. International Journal of Automation and Computing. 5(1). 67–80. 65 indexed citations
7.
Tan, Kay Chen, S.C. Chiam, Abdullah Al Mamun, & Chi-Keong Goh. (2008). Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. European Journal of Operational Research. 197(2). 701–713. 118 indexed citations
8.
Chiam, S.C., Kay Chen Tan, & Abdullah Al Mamun. (2008). A memetic model of evolutionary PSO for computational finance applications. Expert Systems with Applications. 36(2). 3695–3711. 34 indexed citations
9.
Cheong, C. Y., S.C. Chiam, & Chi-Keong Goh. (2007). Eliminating Positional Dependency in Binary Representation via Redundancy. 251–258. 2 indexed citations
10.
Chiam, S.C., et al.. (2007). A realistic approach to evolutionary multiobjective portfolio optimization. 25. 204–211. 17 indexed citations
11.
Chiam, S.C., Chi-Keong Goh, & Kay Chen Tan. (2006). Issues of Binary Representation in Evolutionary Algorithms. National University of Singapore. 13. 1–8. 5 indexed citations
12.
Goh, Chi-Keong, S.C. Chiam, & Kay Chen Tan. (2006). An Investigation on Noisy Environments in Evolutionary Multi-Objective Optimization. National University of Singapore. 1–7. 13 indexed citations
13.
Chiam, S.C., et al.. (2005). Adapting Evolutionary Dynamics of Variation for Multi-objective Optimization. 2. 1290–1297. 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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