Siek-Toon Khoo

655 citations
7 papers · 459 indexed · h-index 5
Topics
School Choice and Performance (3 papers)Psychometric Methodologies and Testing (2 papers)Statistical Methods and Bayesian Inference (1 paper)

In The Last Decade

Siek-Toon Khoo

7 papers receiving 387 citations

Peers

Siek-Toon Khoo
Comparison fields: 5 of 85
  • Education 203
  • Developmental and Educational Psychology 80
  • Experimental and Cognitive Psychology 76
  • Social Psychology 75
  • Statistics and Probability 65
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Kevin M. Kieffer United States
Chunhua Cao United States
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Siek-Toon Khoo relative to Hripsime A. Kalaian United States Hripsime A. Kalaian's profile →
Citations per field
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Hripsime A. Kalaian · 1×
Citations per year

Countries citing papers authored by Siek-Toon Khoo

Since Specialization
Citations

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

Fields of papers citing papers by Siek-Toon Khoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siek-Toon Khoo. 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 Siek-Toon Khoo. The network helps show where Siek-Toon Khoo may publish in the future.

Co-authorship network of co-authors of Siek-Toon Khoo

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 49
2 177
3
Multi-Stage Analysis of Sequential Developmental Processes To Study Reading Progress: New Methodological Developments Using General Growth Mixture Modeling. CSE Technical Report 489.
6
4
ACER Quest: the interactive test analysis system. Version 2.1.
3
5 2
6 28
7
Quest: The Interactive Test Analysis System.
194

About Siek-Toon Khoo

Siek-Toon Khoo is a scholar working on Statistics and Probability, Applied Psychology and Management Science and Operations Research, having authored 7 papers that have together received 459 indexed citations. Recurring topics across this work include School Choice and Performance (3 papers), Psychometric Methodologies and Testing (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Statistics and Probability (65 citations), Education (203 citations) and Developmental and Educational Psychology (80 citations). Siek-Toon Khoo has collaborated with scholars based in United States, Norway and Canada. Frequent co-authors include Raymond J. Adams, Bengt Muthén, Martin Svartberg, Booil Jo, Jeffrey C. Shih and David J. Francis. Their work appears in journals such as Journal of Clinical Psychology, Learning and Individual Differences and Educational Evaluation and Policy Analysis.

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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