M. H. Clark

2.2k total citations
35 papers, 1.5k citations indexed

About

M. H. Clark is a scholar working on Statistics and Probability, Education and Clinical Psychology. According to data from OpenAlex, M. H. Clark has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 11 papers in Education and 6 papers in Clinical Psychology. Recurrent topics in M. H. Clark's work include Advanced Causal Inference Techniques (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Methods in Clinical Trials (7 papers). M. H. Clark is often cited by papers focused on Advanced Causal Inference Techniques (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Methods in Clinical Trials (7 papers). M. H. Clark collaborates with scholars based in United States, Macao and Türkiye. M. H. Clark's co-authors include William R. Shadish, Peter M. Steiner, Thomas D. Cook, Jason K. Luellen, Christopher Schroth, Joel T. Nadler, Haiyan Bai, Michael E. Young, Michael R. Hoane and David M. Murray and has published in prestigious journals such as Journal of the American Statistical Association, Nutrients and Psychological Methods.

In The Last Decade

M. H. Clark

35 papers receiving 1.4k citations

Peers

M. H. Clark
E. C. Hedberg United States
Robin Jacob United States
Richard L. Tate United States
Felix Thoemmes United States
Zsuzsa Bakk Netherlands
Marc Scott United States
Kai Ruggeri United Kingdom
Jessaca Spybrook United States
E. C. Hedberg United States
M. H. Clark
Citations per year, relative to M. H. Clark M. H. Clark (= 1×) peers E. C. Hedberg

Countries citing papers authored by M. H. Clark

Since Specialization
Citations

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

Fields of papers citing papers by M. H. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. H. Clark

This figure shows the co-authorship network connecting the top 25 collaborators of M. H. Clark. A scholar is included among the top collaborators of M. H. Clark 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 M. H. Clark. M. H. Clark 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.
Pozo, Brandon del, et al.. (2024). The effects of message framing on US police chiefs’ support for interventions for opioid use disorder: a randomized survey experiment. Health & Justice. 12(1). 50–50. 1 indexed citations
2.
Pozo, Brandon del, et al.. (2024). Understaffed and beleaguered: a national survey of chiefs of police about the post-George Floyd era. Policing An International Journal. 47(5). 846–860. 6 indexed citations
3.
Clark, M. H., et al.. (2022). Direct and Indirect Impacts of Voluntary Pre-Kindergarten on Kindergarten Readiness and Achievement. Early Childhood Education Journal. 52(2). 319–331. 1 indexed citations
4.
Clark, M. H., et al.. (2022). Exploring Play, Executive Function, and Academic Achievement in Two Title I Kindergartens. Journal of Research in Childhood Education. 37(2). 197–215. 1 indexed citations
5.
Clark, M. H., et al.. (2021). Retention and Academic Achievement of Students of Color at a Large Urban Hispanic-Serving Institution. Journal of Latinos and Education. 22(4). 1457–1474. 2 indexed citations
6.
Roberts, Sherron Killingsworth, et al.. (2021). Let’s Talk Play! Exploring the Possible Benefits of Play-Based Pedagogy on Language and Literacy Learning in Two Title I Kindergarten Classrooms. Early Childhood Education Journal. 50(1). 119–132. 15 indexed citations
7.
Buscemi, Joanna, Angela Odoms‐Young, Melinda Stolley, et al.. (2019). Comparative Effectiveness Trial of an Obesity Prevention Intervention in EFNEP and SNAP-ED: Primary Outcomes. Nutrients. 11(5). 1012–1012. 14 indexed citations
8.
Kerrigan, Stephanie G., M. H. Clark, Alexandra D. Convertino, Evan M. Forman, & Meghan L. Butryn. (2017). The association between previous success with weight loss through dietary change and success in a lifestyle modification program. Journal of Behavioral Medicine. 41(2). 152–159. 10 indexed citations
9.
Lauretto, Marcelo de Souza, et al.. (2017). Haphazard intentional allocation and rerandomization to improve covariate balance in experiments. AIP conference proceedings. 6 indexed citations
10.
Hallberg, Kelly, Thomas D. Cook, Peter M. Steiner, & M. H. Clark. (2016). Pretest Measures of the Study Outcome and the Elimination of Selection Bias: Evidence from Three Within Study Comparisons. Prevention Science. 19(3). 274–283. 24 indexed citations
11.
Steiner, Peter M., et al.. (2014). Bias Reduction in Quasi-Experiments With Little Selection Theory but Many Covariates. Journal of Research on Educational Effectiveness. 8(4). 552–576. 20 indexed citations
12.
Hoffman, Jay R., et al.. (2014). National Collegiate Athletic Association Strength and Conditioning Coaches' Knowledge and Practices Regarding Prevention and Recognition of Exertional Heat Stroke. The Journal of Strength and Conditioning Research. 28(11). 3013–3023. 10 indexed citations
13.
Clark, M. H., et al.. (2014). Mediating relationships between academic motivation, academic integration and academic performance. Learning and Individual Differences. 33. 30–38. 61 indexed citations
14.
Dollinger, Stephen J. & M. H. Clark. (2012). Test-Taking Strategy as a Mediator between Race and Academic Performance. Learning and Individual Differences. 22(4). 511–517. 5 indexed citations
15.
Clark, M. H., et al.. (2011). Assessing the Effectiveness of a College Freshman Seminar Using Propensity Score Adjustments. Research in Higher Education. 52(6). 616–639. 59 indexed citations
16.
Nadler, Joel T. & M. H. Clark. (2010). Pre-Class Coming Attractions: Interest and Program Awareness in the Classroom. Journal of instructional psychology. 37(4). 332–336. 1 indexed citations
17.
Steiner, Peter M., Thomas D. Cook, William R. Shadish, & M. H. Clark. (2010). The importance of covariate selection in controlling for selection bias in observational studies.. Psychological Methods. 15(3). 250–267. 326 indexed citations
18.
Shadish, William R., M. H. Clark, & Peter M. Steiner. (2008). Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments. Journal of the American Statistical Association. 103(484). 1334–1344. 350 indexed citations
19.
Shadish, William R., M. H. Clark, & Peter M. Steiner. (2008). Rejoinder. Journal of the American Statistical Association. 103(484). 1353–1356. 3 indexed citations
20.
Young, Michael E., et al.. (2008). Mixed effects modeling of Morris water maze data: Advantages and cautionary notes. Learning and Motivation. 40(2). 160–177. 44 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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