David M. Quinn

2.0k total citations
47 papers, 1.3k citations indexed

About

David M. Quinn is a scholar working on Education, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, David M. Quinn has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Education, 19 papers in Sociology and Political Science and 7 papers in Political Science and International Relations. Recurrent topics in David M. Quinn's work include School Choice and Performance (19 papers), Parental Involvement in Education (9 papers) and Early Childhood Education and Development (9 papers). David M. Quinn is often cited by papers focused on School Choice and Performance (19 papers), Parental Involvement in Education (9 papers) and Early Childhood Education and Development (9 papers). David M. Quinn collaborates with scholars based in United States, Canada and Ireland. David M. Quinn's co-authors include James S. Kim, Jonathan Wilkenfeld, North Cooc, Victor Asal, Bidisha Biswas, Kyle Beardsley, Kathleen Young, Celia J. Gomez, Jonathan Guryan and Ian Thacker and has published in prestigious journals such as Journal of Abnormal Psychology, Review of Educational Research and Agriculture Ecosystems & Environment.

In The Last Decade

David M. Quinn

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Quinn United States 19 756 447 198 189 99 47 1.3k
Lucrecia Santibáñez United States 16 1.3k 1.8× 185 0.4× 79 0.4× 91 0.5× 192 1.9× 50 1.6k
Michele Schweisfurth United Kingdom 17 1.2k 1.6× 455 1.0× 88 0.4× 608 3.2× 89 0.9× 55 1.7k
Lester B. Pearson United States 13 545 0.7× 195 0.4× 61 0.3× 125 0.7× 67 0.7× 50 1.1k
Lawrence J. Saha Australia 17 561 0.7× 262 0.6× 38 0.2× 131 0.7× 89 0.9× 47 859
Alexandria Walton Radford United States 16 607 0.8× 506 1.1× 41 0.2× 93 0.5× 49 0.5× 35 1.1k
Bob Adamson Hong Kong 20 586 0.8× 296 0.7× 122 0.6× 187 1.0× 12 0.1× 79 1.3k
Ronald F. Ferguson United States 15 1.2k 1.6× 637 1.4× 79 0.4× 74 0.4× 177 1.8× 35 1.7k
Thomas Kellaghan Ireland 20 944 1.2× 131 0.3× 187 0.9× 126 0.7× 69 0.7× 58 1.5k
Pamela Munn United Kingdom 14 975 1.3× 244 0.5× 155 0.8× 113 0.6× 57 0.6× 62 1.2k
Jane Perryman United Kingdom 13 840 1.1× 292 0.7× 52 0.3× 314 1.7× 39 0.4× 27 1.1k

Countries citing papers authored by David M. Quinn

Since Specialization
Citations

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

Fields of papers citing papers by David M. Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Quinn. 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 David M. Quinn. The network helps show where David M. Quinn may publish in the future.

Co-authorship network of co-authors of David M. Quinn

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Quinn. A scholar is included among the top collaborators of David M. Quinn 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 David M. Quinn. David M. Quinn 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.
Byrne, Andrew W., Nicola M. Marples, Maria O’Hagan, et al.. (2025). Wildlife response to land-use change forces encounters between zoonotic disease hosts and farms in agricultural landscapes. Agriculture Ecosystems & Environment. 386. 109561–109561. 3 indexed citations
2.
Quinn, David M.. (2025). Experimental Effects of “Opportunity Gap” and “Achievement Gap” Frames. Sociology of Education. 98(3). 203–222.
3.
Quinn, David M., et al.. (2022). Replicating and Extending Effects of “Achievement Gap” Discourse. Educational Researcher. 51(7). 496–499. 9 indexed citations
4.
Quinn, David M.. (2020). Experimental Evidence on Teachers’ Racial Bias in Student Evaluation: The Role of Grading Scales. Educational Evaluation and Policy Analysis. 42(3). 375–392. 73 indexed citations
5.
Downey, Douglas B., et al.. (2019). The Distribution of School Quality: Do Schools Serving Mostly White and High-SES Children Produce the Most Learning?. Sociology of Education. 92(4). 386–403. 18 indexed citations
6.
Downey, Douglas B., et al.. (2019). The Distribution of School Quality: Do Schools Serving Mostly White and High-SES Children Produce the Most Learning?. Sociology of Education. 92(4). 386–403. 4 indexed citations
7.
Kane, Thomas J., et al.. (2019). Can Video Technology Improve Teacher Evaluations? An Experimental Study. Education Finance and Policy. 15(3). 397–427. 3 indexed citations
8.
Quinn, David M., et al.. (2019). “Achievement Gap” Language Affects Teachers’ Issue Prioritization. Educational Researcher. 48(7). 484–487. 16 indexed citations
9.
Quinn, David M., et al.. (2018). Effects of a Video-Based Teacher Observation Program on the De-Privatization of Instruction: Evidence From a Randomized Experiment. Educational Administration Quarterly. 54(4). 529–558. 12 indexed citations
10.
Quinn, David M. & James S. Kim. (2017). Scaffolding Fidelity and Adaptation in Educational Program Implementation: Experimental Evidence From a Literacy Intervention. American Educational Research Journal. 54(6). 1187–1220. 49 indexed citations
11.
Quinn, David M., et al.. (2017). Do learning rates differ by race/ethnicity over kindergarten? Reconciling results across gain score, first-difference, and random effects models. Economics of Education Review. 59. 81–86. 7 indexed citations
12.
Quinn, David M. & James S. Kim. (2017). Experimental Effects of Program Management Approach on Teachers’ Professional Ties and Social Capital. Educational Evaluation and Policy Analysis. 40(2). 196–218. 4 indexed citations
13.
Quinn, David M., et al.. (2016). Seasonal Dynamics of Academic Achievement Inequality by Socioeconomic Status and Race/Ethnicity. Educational Researcher. 45(8). 443–453. 76 indexed citations
14.
Quinn, David M., et al.. (2013). Crisis managers but not conflict resolvers: Mediating ethnic intrastate conflict in Africa. Conflict Management and Peace Science. 30(4). 387–406. 21 indexed citations
15.
Kim, James S. & David M. Quinn. (2012). A Meta-Analysis of K-8 Summer Reading Interventions: The Role of Socioeconomic Status in Explaining Variation in Treatment Effects.. Society for Research on Educational Effectiveness. 1 indexed citations
16.
Quinn, David M.. (2011). A Critical Look at the Anti-Counterfeiting Trade Agreement. 17(4). 16. 2 indexed citations
17.
Crockett, Jean B., et al.. (2009). Reviewing the Knowledge Base of Special Education Leadership and Administration from 1970-2009.. 22(2). 55–67. 14 indexed citations
18.
Quinn, David M., et al.. (2009). Overcoming Barriers to Peace: Mediating Violent, Ethnic, Intra-State Crises in Africa. Journal of Abnormal Psychology. 128(6). 492–492. 2 indexed citations
19.
Quinn, David M.. (1984). Perspective from the other Side: A Message of Hope for Learning Disability Teachers and Students. Learning Disability Quarterly. 7(4). 295–298. 3 indexed citations
20.
Quinn, David M.. (1978). Documenting Canada's Early White History. Archivaria. 7(7). 86–94.

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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