Minsun Riddles

1.1k total citations · 2 hit papers
9 papers, 806 citations indexed

About

Minsun Riddles is a scholar working on Sociology and Political Science, Statistics and Probability and General Health Professions. According to data from OpenAlex, Minsun Riddles has authored 9 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 3 papers in Statistics and Probability and 2 papers in General Health Professions. Recurrent topics in Minsun Riddles's work include Statistical Methods and Bayesian Inference (3 papers), Survey Methodology and Nonresponse (3 papers) and Survey Sampling and Estimation Techniques (2 papers). Minsun Riddles is often cited by papers focused on Statistical Methods and Bayesian Inference (3 papers), Survey Methodology and Nonresponse (3 papers) and Survey Sampling and Estimation Techniques (2 papers). Minsun Riddles collaborates with scholars based in United States. Minsun Riddles's co-authors include Leyla Mohadjer, Te‐Ching Chen, Jason Clark, Tala H.I. Fakhouri, Rebecca Goldring, J. B. Clark, Cynthia L. Ogden, Steven Fink, Jae Kwang Kim and Jongho Im and has published in prestigious journals such as PEDIATRICS, MMWR Morbidity and Mortality Weekly Report and Canadian Journal of Statistics.

In The Last Decade

Minsun Riddles

9 papers receiving 785 citations

Hit Papers

National Health and Nutrition Examination Survey, 2015-20... 2020 2026 2022 2024 2020 2022 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Minsun Riddles United States 8 187 154 129 97 82 9 806
Camilla S. Morgen Denmark 16 375 2.0× 114 0.7× 97 0.8× 35 0.4× 20 0.2× 32 772
A. Darlene Davis Canada 10 188 1.0× 183 1.2× 201 1.6× 126 1.3× 10 0.1× 13 768
Emily J. Tomayko United States 16 303 1.6× 71 0.5× 152 1.2× 85 0.9× 54 0.7× 41 850
Jonas Minet Kinge Norway 19 235 1.3× 124 0.8× 57 0.4× 55 0.6× 16 0.2× 48 1.1k
Divjyot Kaur India 12 202 1.1× 110 0.7× 72 0.6× 153 1.6× 26 0.3× 26 1.1k
Jack Cahill United States 8 408 2.2× 84 0.5× 224 1.7× 54 0.6× 13 0.2× 10 1.4k
Xiaozhong Wen United States 20 454 2.4× 154 1.0× 290 2.2× 48 0.5× 35 0.4× 79 1.2k
Sabine Braat Australia 21 165 0.9× 109 0.7× 77 0.6× 101 1.0× 7 0.1× 89 1.3k
Taavi Tillmann United Kingdom 13 78 0.4× 130 0.8× 44 0.3× 118 1.2× 11 0.1× 20 697
Kathe Fox United States 13 381 2.0× 147 1.0× 35 0.3× 83 0.9× 16 0.2× 33 960

Countries citing papers authored by Minsun Riddles

Since Specialization
Citations

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

Fields of papers citing papers by Minsun Riddles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minsun Riddles. 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 Minsun Riddles. The network helps show where Minsun Riddles may publish in the future.

Co-authorship network of co-authors of Minsun Riddles

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

All Works

9 of 9 papers shown
1.
Akinbami, Lara J., Deanna Kruszon-Moran, Chia‐Yih Wang, et al.. (2022). SARS-CoV-2 Serology and Self-Reported Infection Among Adults — National Health and Nutrition Examination Survey, United States, August 2021–May 2022. MMWR Morbidity and Mortality Weekly Report. 71(48). 1522–1525. 19 indexed citations
2.
Chen, Te‐Ching, Cynthia L. Ogden, Steven Fink, et al.. (2022). National Health and Nutrition Examination Survey, 2017–March 2020 Prepandemic File: Sample Design, Estimation, and Analytic Guidelines.. PubMed. 1–36. 224 indexed citations breakdown →
3.
Fakhouri, Tala H.I., Crescent B. Martin, Te‐Ching Chen, et al.. (2020). An Investigation of Nonresponse Bias and Survey Location Variability in the 2017-2018 National Health and Nutrition Examination Survey.. PubMed. 1–36. 34 indexed citations
4.
Chen, Te‐Ching, Jason Clark, Minsun Riddles, Leyla Mohadjer, & Tala H.I. Fakhouri. (2020). National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures.. PubMed. 1–35. 371 indexed citations breakdown →
5.
Lohr, Sharon L., Minsun Riddles, & J. Michael Brick. (2019). Goodness‐of‐fit tests for distributions estimated from complex survey data. Canadian Journal of Statistics. 47(3). 409–425. 1 indexed citations
6.
McGovern, Patricia M., Nancy M. Nachreiner, Jane L. Holl, et al.. (2016). The National Children’s Study: Early Recruitment Outcomes Using the Direct Outreach Approach. PEDIATRICS. 137(Supplement_4). S231–S238. 8 indexed citations
7.
Riddles, Minsun, Jae Kwang Kim, & Jongho Im. (2016). A Propensity-score-adjustment Method for Nonignorable Nonresponse. Journal of Survey Statistics and Methodology. 4(2). 215–245. 36 indexed citations
8.
Goldring, Rebecca, et al.. (2014). Teacher Attrition and Mobility: Results from the 2012-13 Teacher Follow-Up Survey. First Look. NCES 2014-077.. National Center for Education Statistics. 103 indexed citations
9.
Kim, Jae Kwang & Minsun Riddles. (2012). Some theory for propensity-score-adjustment estimators in survey sampling. Iowa State University Digital Repository (Iowa State University). 38(2). 157. 10 indexed citations

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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