Mark J. Chin

620 total citations
21 papers, 362 citations indexed

About

Mark J. Chin is a scholar working on Education, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Mark J. Chin has authored 21 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Education, 4 papers in Sociology and Political Science and 4 papers in Information Systems and Management. Recurrent topics in Mark J. Chin's work include School Choice and Performance (12 papers), Teacher Education and Leadership Studies (5 papers) and Mathematics Education and Teaching Techniques (5 papers). Mark J. Chin is often cited by papers focused on School Choice and Performance (12 papers), Teacher Education and Leadership Studies (5 papers) and Mathematics Education and Teaching Techniques (5 papers). Mark J. Chin collaborates with scholars based in United States and Cyprus. Mark J. Chin's co-authors include Heather C. Hill, Charalambos Y. Charalambous, Andrew Ward, Eugene M. Caruso, Leaf Van Boven, Ben Kelcey, Thomas J. Kane, Douglas O. Staiger, Andrew Bacher-Hicks and Kathleen Lynch and has published in prestigious journals such as PLoS ONE, Psychological Science and American Educational Research Journal.

In The Last Decade

Mark J. Chin

17 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Chin United States 10 235 54 53 52 45 21 362
Michael Drake New Zealand 13 286 1.2× 28 0.5× 76 1.4× 37 0.7× 85 1.9× 28 436
Jodie Hunter New Zealand 12 357 1.5× 64 1.2× 50 0.9× 57 1.1× 44 1.0× 49 474
Mei-Shiu Chiu Taiwan 12 193 0.8× 53 1.0× 154 2.9× 28 0.5× 92 2.0× 40 404
Anastasios Barkatsas Australia 6 362 1.5× 52 1.0× 67 1.3× 68 1.3× 65 1.4× 19 503
Wee Tiong Seah Australia 14 485 2.1× 85 1.6× 73 1.4× 50 1.0× 59 1.3× 80 605
Ute Suhl Germany 10 546 2.3× 95 1.8× 65 1.2× 79 1.5× 74 1.6× 16 615
Fritz C. Staub Switzerland 10 613 2.6× 117 2.2× 50 0.9× 49 0.9× 86 1.9× 32 693
Ian Thacker United States 10 180 0.8× 90 1.7× 61 1.2× 13 0.3× 40 0.9× 23 320
Liang See Tan Singapore 10 153 0.7× 27 0.5× 83 1.6× 10 0.2× 56 1.2× 24 270
Fran Arbaugh United States 15 636 2.7× 69 1.3× 20 0.4× 100 1.9× 39 0.9× 50 694

Countries citing papers authored by Mark J. Chin

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Chin. 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 Mark J. Chin. The network helps show where Mark J. Chin may publish in the future.

Co-authorship network of co-authors of Mark J. Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Chin. A scholar is included among the top collaborators of Mark J. Chin 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 Mark J. Chin. Mark J. Chin 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
2.
Chin, Mark J.. (2024). The Impact of School Desegregation on White Individuals' Racial Attitudes and Politics in Adulthood. Education Finance and Policy. 20(2). 185–213. 1 indexed citations
3.
Chin, Mark J.. (2023). School district consolidation in North Carolina: Impacts on school composition and finance, crime outcomes, and educational attainment. Economics of Education Review. 95. 102432–102432. 1 indexed citations
4.
Chin, Mark J.. (2022). The Stability of Families’ Revealed Preferences for Schools. Educational Researcher. 51(9). 588–592. 1 indexed citations
5.
Ward, Andrew, Tammy English, & Mark J. Chin. (2021). Physical attractiveness predicts endorsement of specific evolutionary psychology principles. PLoS ONE. 16(8). e0254725–e0254725. 3 indexed citations
6.
Chin, Mark J.. (2020). The Effect of English Learner Reclassification on Student Achievement and Noncognitive Outcomes. Journal of Research on Educational Effectiveness. 14(1). 57–89. 8 indexed citations
7.
Warikoo, Natasha, Mark J. Chin, Nicole Zillmer, & Suniya S. Luthar. (2020). The Influence of Parent Expectations and Parent‐Child Relationships on Mental Health in Asian American and White American Families. Sociological Forum. 35(2). 275–296. 13 indexed citations
9.
Chin, Mark J., et al.. (2020). Bias in the Air: A Nationwide Exploration of Teachers’ Implicit Racial Attitudes, Aggregate Bias, and Student Outcomes. Educational Researcher. 49(8). 566–578. 11 indexed citations
10.
Charalambous, Charalambos Y., et al.. (2019). Mathematical content knowledge and knowledge for teaching: exploring their distinguishability and contribution to student learning. Journal of Mathematics Teacher Education. 23(6). 579–613. 39 indexed citations
11.
Kelcey, Ben, Heather C. Hill, & Mark J. Chin. (2019). Teacher mathematical knowledge, instructional quality, and student outcomes: a multilevel quantile mediation analysis. School Effectiveness and School Improvement. 30(4). 398–431. 38 indexed citations
12.
Bacher-Hicks, Andrew, Mark J. Chin, Heather C. Hill, & Douglas O. Staiger. (2019). Explaining Teacher Effects on Achievement Using Commonly Found Teacher-Level Predictors.
13.
Bacher-Hicks, Andrew, Mark J. Chin, Thomas J. Kane, & Douglas O. Staiger. (2019). An experimental evaluation of three teacher quality measures: Value-added, classroom observations, and student surveys. Economics of Education Review. 73. 101919–101919. 30 indexed citations
14.
Hill, Heather C., Charalambos Y. Charalambous, & Mark J. Chin. (2018). Teacher Characteristics and Student Learning in Mathematics: A Comprehensive Assessment. Educational Policy. 33(7). 1103–1134. 30 indexed citations
15.
Hill, Heather C. & Mark J. Chin. (2018). Connections Between Teachers’ Knowledge of Students, Instruction, and Achievement Outcomes. American Educational Research Journal. 55(5). 1076–1112. 76 indexed citations
16.
Chin, Mark J., et al.. (2018). School District Reform in Newark: Within- and Between-School Changes in Achievement Growth. Industrial and Labor Relations Review. 72(2). 323–354. 10 indexed citations
17.
Lynch, Kathleen, Mark J. Chin, & David Blazar. (2017). Relationships between Observations of Elementary Mathematics Instruction and Student Achievement: Exploring Variability across Districts. American Journal of Education. 123(4). 615–646. 17 indexed citations
18.
Bacher-Hicks, Andrew, Mark J. Chin, Thomas J. Kane, & Douglas O. Staiger. (2015). Validating Components of Teacher Effectiveness: A Random Assignment Study of Value-Added, Observation, and Survey Scores.. Society for Research on Educational Effectiveness. 1 indexed citations
19.
Caruso, Eugene M., Leaf Van Boven, Mark J. Chin, & Andrew Ward. (2013). The Temporal Doppler Effect. Psychological Science. 24(4). 530–536. 73 indexed citations
20.
Chin, Mark J., et al.. (2002). Refining the University of Idaho Clean Snowmobile. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 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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