Mikyung Shin

973 total citations
54 papers, 612 citations indexed

About

Mikyung Shin is a scholar working on Developmental and Educational Psychology, Education and Statistics and Probability. According to data from OpenAlex, Mikyung Shin has authored 54 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Developmental and Educational Psychology, 21 papers in Education and 15 papers in Statistics and Probability. Recurrent topics in Mikyung Shin's work include Cognitive and developmental aspects of mathematical skills (15 papers), Behavioral and Psychological Studies (11 papers) and Reading and Literacy Development (8 papers). Mikyung Shin is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (15 papers), Behavioral and Psychological Studies (11 papers) and Reading and Literacy Development (8 papers). Mikyung Shin collaborates with scholars based in United States and South Korea. Mikyung Shin's co-authors include Diane Pedrotty Bryant, John McKenna, Stephen Ciullo, Hyunjoo Lee, Min Wook Ok, Eun‐Young Park, Jiyeon Park, Brian R. Bryant, Barbara Dougherty and Min Kyung Kim and has published in prestigious journals such as Computers & Education, Journal of Learning Disabilities and Exceptional Children.

In The Last Decade

Mikyung Shin

46 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikyung Shin United States 14 333 281 224 128 80 54 612
Leanne R. Ketterlin–Geller United States 14 424 1.3× 345 1.2× 152 0.7× 206 1.6× 44 0.6× 47 698
Rachel Lambert United States 13 383 1.2× 104 0.4× 155 0.7× 98 0.8× 61 0.8× 37 520
Elisabeth Moser Opitz Switzerland 12 396 1.2× 141 0.5× 162 0.7× 74 0.6× 70 0.9× 57 505
Paula Maccini United States 15 584 1.8× 466 1.7× 552 2.5× 184 1.4× 55 0.7× 34 886
Piia Maria Björn Finland 14 352 1.1× 180 0.6× 126 0.6× 34 0.3× 87 1.1× 29 555
Rene S. Parmar United States 17 512 1.5× 294 1.0× 397 1.8× 109 0.9× 53 0.7× 32 704
Bradley S. Witzel United States 14 653 2.0× 524 1.9× 607 2.7× 77 0.6× 53 0.7× 31 908
Madhavi Jayanthi United States 17 811 2.4× 568 2.0× 459 2.0× 220 1.7× 189 2.4× 49 1.2k
Pamela Hudson United States 13 400 1.2× 258 0.9× 201 0.9× 93 0.7× 56 0.7× 23 564
Susan Courey United States 8 252 0.8× 161 0.6× 161 0.7× 114 0.9× 45 0.6× 14 428

Countries citing papers authored by Mikyung Shin

Since Specialization
Citations

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

Fields of papers citing papers by Mikyung Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikyung Shin

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

All Works

20 of 20 papers shown
3.
Park, Jiyeon, et al.. (2024). Preventing digital distraction in secondary classrooms: A quasi-experimental study. Computers & Education. 227. 105223–105223. 1 indexed citations
4.
Park, Jiyeon, Diane Pedrotty Bryant, & Mikyung Shin. (2023). Effects of a Synchronous Online Fraction Intervention Using Virtual Manipulatives for Students With Learning Disabilities. Journal of Special Education Technology. 39(2). 234–246. 3 indexed citations
5.
Shin, Mikyung, et al.. (2023). A content analysis of research on technology use for teaching mathematics to students with disabilities: word networks and topic modeling. International Journal of STEM Education. 10(1). 23–23. 7 indexed citations
6.
Park, Jiyeon, Diane Pedrotty Bryant, & Mikyung Shin. (2021). Effects of Interventions Using Virtual Manipulatives for Students With Learning Disabilities: A Synthesis of Single-Case Research. Journal of Learning Disabilities. 55(4). 325–337. 14 indexed citations
7.
Peltier, Corey, et al.. (2021). A Decade Review of Single–Case Graph Construction in the Field of Learning Disabilities. Learning Disabilities Research and Practice. 36(2). 121–135. 10 indexed citations
8.
Shin, Mikyung, et al.. (2019). The Contributions of Reading Fluency and Decoding to Reading Comprehension for Struggling Readers in Fourth Grade. Reading & Writing Quarterly. 35(3). 179–192. 21 indexed citations
9.
Garwood, Justin D., John McKenna, Garrett J. Roberts, Stephen Ciullo, & Mikyung Shin. (2019). Social Studies Content Knowledge Interventions for Students With Emotional and Behavioral Disorders: A Meta-Analysis. Behavior Modification. 45(1). 147–176. 12 indexed citations
10.
Shin, Mikyung, et al.. (2018). A Usability Testing of a Hybrid Mobile Reading Game for Children With Reading Disabilities. The Journal of the Korea Contents Association. 18(1). 314–326. 2 indexed citations
11.
Kang, Eun-Young & Mikyung Shin. (2018). The Effects of Teacher Preparation Programs With Project-Based Learning for Strengthening Preservice Special Education Teachers’ Practical Teaching Abilities. The Journal of the Korea Contents Association. 18(12). 547–557. 1 indexed citations
12.
Garwood, Justin D., Margaret Gessler Werts, Linda H. Mason, et al.. (2018). Improving Persuasive Science Writing for Secondary Students With Emotional and Behavioral Disorders Educated in Residential Treatment Facilities. Behavioral Disorders. 44(4). 227–240. 11 indexed citations
13.
Shin, Mikyung, et al.. (2017). Policies and Issues Surrounding the Identification of Students with Learning Disabilities in South Korea.. International Journal of Special Education (IJSE). 32(2). 439–457. 3 indexed citations
14.
Shin, Mikyung. (2017). An Analysis of Mobile Virtual Manipulatives Apps for the Teaching of Elementary School Mathematics. Journal of Korea Multimedia Society. 20(6). 935–949. 2 indexed citations
15.
Lee, Youngmee, Eunhye Park, Young Tae Kim, & Mikyung Shin. (2017). An Analysis of Special School and Special Class Teachers’ Reading Instruction for Students With Disabilities. The Journal of Special Children Education. 19(1). 27–52. 1 indexed citations
16.
McKenna, John, et al.. (2017). An Evaluation of Single-Case Reading Intervention Study Quality for Students With and At Risk for Emotional and Behavioral Disorders. Behavior Modification. 41(6). 868–906. 14 indexed citations
17.
Shin, Mikyung & Diane Pedrotty Bryant. (2016). Improving the Fraction Word Problem Solving of Students With Mathematics Learning Disabilities. Remedial and Special Education. 38(2). 76–86. 39 indexed citations
18.
Shin, Mikyung. (2015). The Resetting of the Head Direction Parameter. Seoul National University Open Repository (Seoul National University). 18. 2 indexed citations
19.
McKenna, John, Mikyung Shin, & Stephen Ciullo. (2015). Evaluating Reading and Mathematics Instruction for Students With Learning Disabilities. Learning Disability Quarterly. 38(4). 195–207. 61 indexed citations
20.
Lee, Hyejung, Kwang‐Ok Lee, & Mikyung Shin. (2009). Analysis of Maternal Child Health Services in Korea - Perspective of the Premature Infant -. Journal of Korean Academy of Child Health Nursing. 15(1). 81–81. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026