Seong Won Han

841 total citations
25 papers, 514 citations indexed

About

Seong Won Han is a scholar working on Education, Safety Research and Experimental and Cognitive Psychology. According to data from OpenAlex, Seong Won Han has authored 25 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Education, 7 papers in Safety Research and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Seong Won Han's work include School Choice and Performance (8 papers), Career Development and Diversity (5 papers) and Teacher Professional Development and Motivation (4 papers). Seong Won Han is often cited by papers focused on School Choice and Performance (8 papers), Career Development and Diversity (5 papers) and Teacher Professional Development and Motivation (4 papers). Seong Won Han collaborates with scholars based in United States, South Korea and United Kingdom. Seong Won Han's co-authors include Eric M. Camburn, Francesca Borgonovi, Sonia Guerriero, Sara Goldrick‐Rab, María Gil Izquierdo, Tommaso Agasisti, Xiufeng Liu, Zuhao Wang, Lois Weis and James Sebastian and has published in prestigious journals such as Journal of Educational Psychology, American Educational Research Journal and Teaching and Teacher Education.

In The Last Decade

Seong Won Han

23 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong Won Han United States 14 374 79 73 69 65 25 514
Anne Podolsky United States 10 431 1.2× 58 0.7× 47 0.6× 55 0.8× 42 0.6× 19 560
Nicolas Hübner Germany 11 198 0.5× 45 0.6× 40 0.5× 92 1.3× 112 1.7× 42 391
Andrés Sandoval-Hernández United Kingdom 13 325 0.9× 115 1.5× 45 0.6× 74 1.1× 18 0.3× 57 505
Allison BrckaLorenz United States 12 285 0.8× 57 0.7× 75 1.0× 160 2.3× 30 0.5× 42 479
Cindy Ann Kilgo United States 11 409 1.1× 89 1.1× 98 1.3× 124 1.8× 24 0.4× 26 555
Luis Lizasoain Hernández Spain 11 698 1.9× 69 0.9× 62 0.8× 40 0.6× 35 0.5× 62 848
Mihajla Gavin Australia 14 336 0.9× 78 1.0× 44 0.6× 71 1.0× 159 2.4× 45 543
Lisa De Bortoli Australia 15 526 1.4× 84 1.1× 39 0.5× 31 0.4× 57 0.9× 36 618
Steve Robbins United States 9 358 1.0× 63 0.8× 112 1.5× 144 2.1× 80 1.2× 21 572
Kajsa Yang Hansen Sweden 14 425 1.1× 132 1.7× 34 0.5× 95 1.4× 64 1.0× 42 588

Countries citing papers authored by Seong Won Han

Since Specialization
Citations

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

Fields of papers citing papers by Seong Won Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong Won Han. 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 Seong Won Han. The network helps show where Seong Won Han may publish in the future.

Co-authorship network of co-authors of Seong Won Han

This figure shows the co-authorship network connecting the top 25 collaborators of Seong Won Han. A scholar is included among the top collaborators of Seong Won Han 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 Seong Won Han. Seong Won Han 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
1.
Han, Seong Won, et al.. (2024). Who benefits from high school exit exams? Examining variations in math course-taking by abilities and socioeconomic status. Education Policy Analysis Archives. 32. 1 indexed citations
2.
Han, Seong Won, et al.. (2024). Reducing Socioeconomic Disparities in STEM Opportunities? Trends in Access to Advanced Science and Math Courses in American High Schools, 1992–2013. Journal of Education for Students Placed at Risk (JESPAR). 30(3). 273–310.
3.
Han, Seong Won, et al.. (2024). Shattering monolithic myths: gender gaps in STEM major selection across Asian American ethnic subgroups. British Journal of Sociology of Education. 46(1). 54–74.
4.
Borgonovi, Francesca, Seong Won Han, & Samuel Greiff. (2023). Gender differences in collaborative problem-solving skills in a cross-country perspective.. Journal of Educational Psychology. 115(5). 747–766. 6 indexed citations
5.
Han, Seong Won, et al.. (2023). On Track or Off Track? Identifying a Typology of Math Course-Taking Sequences in U.S. High Schools. Socius Sociological Research for a Dynamic World. 9. 5 indexed citations
6.
Han, Seong Won, et al.. (2021). Complexifying Asian American student pathways to STEM majors: Differences by ethnic subgroups and college selectivity.. Journal of Diversity in Higher Education. 16(2). 215–225. 16 indexed citations
7.
Han, Seong Won, Francesca Borgonovi, & Sonia Guerriero. (2020). Why don’t more boys want to become teachers? The effect of a gendered profession on students’ career expectations. International Journal of Educational Research. 103. 101645–101645. 16 indexed citations
8.
Han, Seong Won & Francesca Borgonovi. (2020). Students' teaching career expectations by gender and ability levels in science and math: The role of salary and numeracy skills. European Journal of Education. 55(3). 405–427. 7 indexed citations
9.
Borgonovi, Francesca & Seong Won Han. (2020). Gender disparities in fear of failure among 15‐year‐old students: The role of gender inequality, the organisation of schooling and economic conditions. Journal of Adolescence. 86(1). 28–39. 25 indexed citations
10.
Han, Seong Won. (2018). Who expects to become a teacher? The role of educational accountability policies in international perspective. Teaching and Teacher Education. 75. 141–152. 21 indexed citations
12.
Camburn, Eric M. & Seong Won Han. (2017). Teachers’ professional learning experiences and their engagement in reflective practice: a replication study. School Effectiveness and School Improvement. 28(4). 527–554. 30 indexed citations
14.
Han, Seong Won. (2017). School-based teacher hiring and achievement inequality: A comparative perspective. International Journal of Educational Development. 61. 82–91. 19 indexed citations
15.
Han, Seong Won. (2016). National education systems and gender gaps in STEM occupational expectations. International Journal of Educational Development. 49. 175–187. 35 indexed citations
16.
Han, Seong Won. (2016). Standards-based external exams and students’ science-related career expectations: an international perspective. Educational Research and Evaluation. 22(7-8). 374–401. 6 indexed citations
17.
Son, Ji‐Won, et al.. (2016). A Comparative Analysis of the Relationship among Quality Instruction, Teacher Self-efficacy, Student Background, and Mathematics Achievement in South Korea and the United States. Eurasia Journal of Mathematics Science and Technology Education. 12(7). 10 indexed citations
18.
Han, Seong Won. (2015). Curriculum standardization, stratification, and students’ STEM-related occupational expectations: Evidence from PISA 2006. International Journal of Educational Research. 72. 103–115. 13 indexed citations
19.
Camburn, Eric M. & Seong Won Han. (2011). Two Decades of Generalizable Evidence on U.S. Instruction from National Surveys. Teachers College Record The Voice of Scholarship in Education. 113(3). 561–610. 28 indexed citations
20.
Goldrick‐Rab, Sara & Seong Won Han. (2011). Accounting for Socioeconomic Differences in Delaying the Transition to College. Review of higher education/˜The œreview of higher education. 34(3). 423–445. 43 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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