Laura M. Stapleton

5.9k citations
72 papers · 4.1k indexed · 4 hit papers · h-index 29

Impact in

Papers in

Laura M. Stapleton

70 papers receiving 3.9k citations

Hit Papers

The Reviewer’s Guide to Quantitative Methods in the Social Sciences 2018 · 362 citations
3622014202620182022100200300400500

Peers

Laura M. Stapleton
Comparison fields: 5 of 185
  • Statistics and Probability 480
  • Social Psychology 886
  • Experimental and Cognitive Psychology 556
  • Developmental and Educational Psychology 508
  • Applied Psychology 207
Replace Cora J. M. Maas with:
Cora J. M. Maas Netherlands
Robin K. Henson United States
Sehee Hong South Korea
James Peugh United States
John Tisak United States
Linda K. Muthén United States
Gitta H. Lubke United States
Tiffany A. Whittaker United States
Ita G. G. Kreft United States
Trevor G. Bond Australia
Laura M. Stapleton relative to Cora J. M. Maas Netherlands Cora J. M. Maas's profile →
Citations per field
00.5×1.6×
Cora J. M. Maas · 1×
Citations per year

Countries citing papers authored by Laura M. Stapleton

Since Specialization
Citations

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

Fields of papers citing papers by Laura M. Stapleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Laura M. Stapleton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laura M. Stapleton Line = papers co-authored together Laura M. Stapleton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 202221
4 201924
5 201914
6 201915
7 20192
8 201813
9
On the unnecessary ubiquity of hierarchical linear modeling.
Hit paper breakdown →
2016566
10
Modeling Clustered Data with Very Few Clusters
Hit paper breakdown →
2016273
11
Assessing the Workforce Outcomes of Maryland Science, Technology, Engineering, and Math (STEM) Postsecondary Graduates.
20160
12 201621
13 201538
14 201413
15 201134
16 201014
17 200924
18 200731
19 200733
20 2005179

About Laura M. Stapleton

Laura M. Stapleton is a scholar working on Statistics and Probability, Management Science and Operations Research, Safety Research, Education and Developmental and Educational Psychology, having authored 72 papers that have together received 4.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (14 papers), Psychometric Methodologies and Testing (13 papers), Advanced Causal Inference Techniques (10 papers), Early Childhood Education and Development (8 papers), Parental Involvement in Education (7 papers), Advanced Statistical Modeling Techniques (6 papers), Child and Adolescent Psychosocial and Emotional Development (5 papers) and School Choice and Performance (5 papers). The work is most often cited by research in Statistics and Probability (480 citations), Social Psychology (886 citations), Experimental and Cognitive Psychology (556 citations), Developmental and Educational Psychology (508 citations) and Applied Psychology (207 citations). Laura M. Stapleton has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Daniel McNeish, Gregory R. Hancock, Keenan A. Pituch, Ralph O. Mueller, Ji Seung Yang, Richard G. Best, Ronald G. Downey, Marie‐Anne Suizzo, Tiffany A. Whittaker and Meredith L. Rowe. Their work appears in journals such as Structural Equation Modeling A Multidisciplinary Journal, Multivariate Behavioral Research, The Journal of Experimental Education, Journal of Applied Developmental Psychology and Educational Psychology Review.

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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