S. P. Wong

7.6k citations
28 papers · 6.0k indexed · 1 hit paper · h-index 14

S. P. Wong

28 papers receiving 5.7k citations

Hit Papers

Forming inferences about some intraclass correlation coef...5.2k199620262006201610002.0k3.0k4.0k5.0k

Peers

S. P. Wong
Comparison fields: 5 of 209
  • Cognitive Neuroscience 807
  • Applied Psychology 195
  • Experimental and Cognitive Psychology 496
  • Physical Therapy, Sports Therapy and Rehabilitation 160
  • Clinical Psychology 755
Replace Kenneth O. McGraw with:
Kenneth O. McGraw United States
Betsy Jane Becker United States
Catherine O. Fritz United Kingdom
Shlomo S. Sawilowsky United States
Daniel Altman Israel
Gail M. Sullivan United States
Gillian Lancaster United Kingdom
Geoff Norman Canada
Charles H. Goldsmith Canada
Juan Botella Spain
S. P. Wong relative to Kenneth O. McGraw United States Kenneth O. McGraw's profile →
Citations per field
00.5×1.5×
Kenneth O. McGraw · 1×
Citations per year

Countries citing papers authored by S. P. Wong

Since Specialization
Citations

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

Fields of papers citing papers by S. P. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside S. P. Wong, 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 S. P. Wong Line = papers co-authored together S. P. Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20101
2 19998
3 199910
4 199818
5 199826
6 1996168
7 19945
8 1993191
9 199243
10 199232
11 198842
12 198419
13 19828
14 19804
15 19803
16 19799
17 19787
18 19782
19 197713
20 196815

About S. P. Wong

S. P. Wong is a scholar working on Statistics and Probability, Endocrine and Autonomic Systems and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (7 papers), Neonatal Respiratory Health Research (7 papers), Statistical Methods and Bayesian Inference (4 papers), Neuroscience of respiration and sleep (4 papers), Statistical Distribution Estimation and Applications (4 papers), Financial Risk and Volatility Modeling (3 papers), Statistical Methods in Clinical Trials (3 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Cognitive Neuroscience (807 citations), Applied Psychology (195 citations) and Experimental and Cognitive Psychology (496 citations). S. P. Wong has collaborated with scholars based in United States, Malaysia and China. Frequent co-authors include Kenneth O. McGraw, Sheldon B. Korones, Henrietta S. Bada, Massroor Pourcyrous, Vickie S. Baselski, William R. Shadish, Renita R. Glaser, Xiangen Hu, H. Lynn Magill and Garland D. Anderson.

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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