Chi-Ming Kam
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Advanced Causal Inference Techniques
- Statistical Methods in Clinical Trials
- Clinical Psychology top 5%
- Child and Adolescent Psychosocial and Emotional Development
Papers in
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- Statistical Methods and Bayesian Inference 3
- Statistical Methods and Inference 3
- Advanced Causal Inference Techniques 2
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- Treatment of Major Depression 1
- Co-authors
- Joseph L. Schafer (3 shared papers)Linda M. Collins (3 shared papers)Tatia M.C. Lee (2 shared papers)Andrew M. H. Siu (1 shared paper)Sandra Tsang (1 shared paper)Chetwyn C. H. Chan (1 shared paper)Junhong Yu (1 shared paper)
- Journals
- Psychological Methods (3 papers)Frontiers in Psychology (1 paper)Addictive Behaviors (1 paper)PsycEXTRA Dataset (1 paper)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Chi-Ming Kam
6 papers receiving 2.0k citations
Chi-Ming Kam's Hit Papers
Peers
Comparison fields: 5 of 137
- Statistics and Probability 536
- Clinical Psychology 407
- Applied Psychology 76
- Health 113
- Experimental and Cognitive Psychology 174
Countries citing papers authored by Chi-Ming Kam
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
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-authors
The 7 scholars most cited alongside Chi-Ming Kam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A comparison of inclusive and restrictive strategies in modern missing data procedures. Hit paper breakdown → | 2001 | 1858 |
| 2 | 2001 | 107 | |
| 3 | 2013 | 47 | |
| 4 | 2016 | 18 | |
| 5 | 2001 | 13 | |
| 6 | 2011 | 5 |
About Chi-Ming Kam
Chi-Ming Kam is a scholar working on Statistics and Probability, Pharmacology, Clinical Psychology, Artificial Intelligence and Education, 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), Advanced Causal Inference Techniques (2 papers), Parental Involvement in Education (1 paper), Treatment of Major Depression (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Bayesian Methods and Mixture Models (1 paper) and Early Childhood Education and Development (1 paper). The work is most often cited by research in Statistics and Probability (536 citations), Clinical Psychology (407 citations), Applied Psychology (76 citations), Health (113 citations) and Experimental and Cognitive Psychology (174 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, Andrew M. H. Siu, Sandra Tsang, Chetwyn C. H. Chan and Junhong Yu. Their work appears in journals such as Psychological Methods, Frontiers in Psychology, Addictive Behaviors and PsycEXTRA Dataset.
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.