C. H. Sim

1.3k citations
19 papers · 878 indexed · 1 hit paper · h-index 9

C. H. Sim

19 papers receiving 844 citations

Hit Papers

Comparisons of various types of normality tests5912011202620162021100200300400500

Peers

C. H. Sim
Comparison fields: 5 of 179
  • Statistics and Probability 220
  • Statistics, Probability and Uncertainty 127
  • Finance 97
  • Management Science and Operations Research 78
  • Medical Laboratory Technology 7
Replace Spencer Graves with:
Spencer Graves United States
Terence Reilly United States
Alan M. Polansky United States
Gordon J. Ross United Kingdom
Dost Muhammad Khan Pakistan
Vicente Núñez‐Antón Spain
Augustine Wong Canada
Ramalingam Shanmugam United States
Helmut Strasser Germany
Edward L. Boone United States
C. H. Sim relative to Spencer Graves United States Spencer Graves's profile →
Citations per field
00.5×3.7×
Spencer Graves · 1×
Citations per year

Countries citing papers authored by C. H. Sim

Since Specialization
Citations

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

Fields of papers citing papers by C. H. Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 1 scholars most cited alongside C. H. Sim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. H. Sim Line = papers co-authored together C. H. Sim links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Comparisons of various types of normality testsbreakdown →
2011591
2 200838
3 20086
4 20038
5 20038
6 20038
7 20005
8 20008
9 199425
10 199323
11 199310
12 19931
13 199233
14 199041
15 19904
16 19897
17 19874
18 198718
19 198640

About C. H. Sim

C. H. Sim is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Finance, Management Science and Operations Research and Mathematical Physics, having authored 19 papers that have together received 878 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (9 papers), Advanced Statistical Process Monitoring (6 papers), Statistical Distribution Estimation and Applications (5 papers), Financial Risk and Volatility Modeling (5 papers), Bayesian Methods and Mixture Models (2 papers), Fault Detection and Control Systems (2 papers), Diffusion and Search Dynamics (2 papers) and Scientific Measurement and Uncertainty Evaluation (2 papers). The work is most often cited by research in Statistics and Probability (220 citations), Statistics, Probability and Uncertainty (127 citations), Finance (97 citations), Management Science and Operations Research (78 citations) and Medical Laboratory Technology (7 citations). C. H. Sim has collaborated with scholars based in Malaysia. Frequent co-authors include Yap Bee Wah. Their work appears in journals such as Journal of Statistical Computation and Simulation, Journal of Applied Probability, Water Resources Research, Statistical Papers and Metrologia.

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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