Hee-Choon Shin

492 citations
24 papers · 376 · h-index 7

Impact in

  • Health top 10%
    • Health disparities and outcomes
  • Demography top 5%
    • Family Dynamics and Relationships

Papers in

Hee-Choon Shin

23 papers receiving 341 citations

Peers

Hee-Choon Shin
Comparison fields: 5 of 96
  • Health 81
  • Demography 77
  • Social Psychology 66
  • Sociology and Political Science 127
  • Gender Studies 26
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Citations per year

Countries citing papers authored by Hee-Choon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Hee-Choon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee-Choon Shin. 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 Hee-Choon Shin. The network helps show where Hee-Choon Shin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989133
2
National Health and Nutrition Examination Survey: Estimation Procedures, 2011-2014.
2018117
3 198926
4 201124
5 200915
6
The National Center for Health Statistics' 2015 and 2016 Research and Development Surveys.
20208
7 20137
8 20086
9 20246
10 19736
11 20204
12 20104
13
Weighted Least Squares Estimation with Sampling Weights
20133
14
A Dual-Frame Design for the National Immunization Survey
20083
15
A Comparison of Taylor Series and JK1 Resampling Methods for Variance Estimation
20033
16
OUTLIER WEIGHT ADJUSTMENT IN REACH 2010
20032
17
A Cautionary Note on Post-stratification Adjustment
20122
18 19912
19 20181
20 20231

About Hee-Choon Shin

Hee-Choon Shin is a scholar working on Sociology and Political Science, Statistics and Probability, General Health Professions, Epidemiology and Economics and Econometrics, having authored 24 papers that have together received 376 indexed citations. Recurring topics across this work include Survey Methodology and Nonresponse (5 papers), Statistical Methods and Bayesian Inference (4 papers), Substance Abuse Treatment and Outcomes (3 papers), Water Quality and Resources Studies (3 papers), Food Security and Health in Diverse Populations (2 papers), Opioid Use Disorder Treatment (2 papers), Advanced Statistical Methods and Models (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Health (81 citations), Demography (77 citations), Social Psychology (66 citations), Sociology and Political Science (127 citations) and Gender Studies (26 citations). Hee-Choon Shin has collaborated with scholars based in United States and South Korea. Frequent co-authors include Walter R. Gove, Jennifer D. Parker, Te‐Ching Chen, Jason Clark, Jeanne C. Marsh, Dingcai Cao, Jennie E. Raymond, Margaret Mooney Marini, Christina M. Andrews and Wayne A. Kerstetter. Their work appears in journals such as Social Science Research, Evaluation and Program Planning, Journal of Statistical Computation and Simulation, Annals of Epidemiology and Violence Against Women.

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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