Chi-Ming Kam

2.7k citations
6 papers · 2.0k indexed · 1 hit paper · h-index 6
Topics
Statistical Methods and Bayesian Inference (3 papers)Statistical Methods and Inference (3 papers)Advanced Causal Inference Techniques (2 papers)
Journals
SHILAP Revista de lepidopterologíaFrontiers in PsychologyPsychological Methods

In The Last Decade

Chi-Ming Kam

6 papers receiving 1.9k citations

Hit Papers

A comparison of inclusive and restrictive strategies in m...2001202620092017200150010001.5k

Peers

Chi-Ming Kam
Comparison fields: 5 of 140
  • Statistics and Probability 561
  • Clinical Psychology 478
  • Sociology and Political Science 299
  • Social Psychology 297
  • Education 296
Replace Robert D. Gibbons with:
Robert D. Gibbons United States
Tom Loeys Belgium
David Rogosa United States
Satoshi Usami Japan
Sonya K. Sterba United States
Carlos G. Forero Spain
Li‐Jen Weng Taiwan
Gilda Soromenho Portugal
Myeongsun Yoon United States
Chi-Ming Kam relative to Robert D. Gibbons United States Robert D. Gibbons's profile →
Citations per field
00.5×4.0×
Robert D. Gibbons · 1×
Citations per year

Countries citing papers authored by Chi-Ming Kam

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Ming Kam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Ming Kam. 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 Chi-Ming Kam. The network helps show where Chi-Ming Kam may publish in the future.

Co-authorship network of co-authors of Chi-Ming Kam

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 17
2 46
3 5
4 105
5 13
6
A comparison of inclusive and restrictive strategies in modern missing data procedures.breakdown →
1830

About Chi-Ming Kam

Chi-Ming Kam is a scholar working on Statistics and Probability, Biological Psychiatry and Developmental and Educational Psychology, having authored 6 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Statistical Methods and Inference (3 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Statistics and Probability (561 citations), Clinical Psychology (478 citations) and Applied Psychology (98 citations). Chi-Ming Kam has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Joseph L. Schafer, Linda M. Collins, Tatia M.C. Lee, Sandra Tsang, Chetwyn C. H. Chan, Andrew M. H. Siu and Junhong Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Psychological Methods.

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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