John M. Ferron

7.7k citations
157 papers · 5.8k · h-index 40

Impact in

Papers in

John M. Ferron

154 papers receiving 5.5k citations

Peers

John M. Ferron
Comparison fields: 5 of 192
  • Developmental and Educational Psychology 2.1k
  • Statistics and Probability 791
  • Management Science and Operations Research 824
  • Clinical Psychology 1.1k
  • Cognitive Neuroscience 929
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S. Natasha Beretvas United States
David Marcus Rindskopf United States
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Citations per field
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Citations per year

Countries citing papers authored by John M. Ferron

Since Specialization
Citations

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

Fields of papers citing papers by John M. Ferron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John M. Ferron, 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 John M. Ferron Line = papers co-authored together John M. Ferron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005416
2 2011291
3 2016223
4 2002192
5 2012167
6 1994161
7 2009155
8 2009143
9 2013128
10 2002125
11 2013105
12 2016104
13 1994104
14
Cluster Size in Multilevel Models: The Impact of Sparse Data Structures on Point and Interval Estimates in Two-Level Models
2008103
15 200289
16
The Impact of Small Cluster Size on Multilevel Models: A Monte Carlo Examination of Two-Level Models with Binary and Continuous Predictors
201087
17 201682
18 200679
19 201079
20 200277

About John M. Ferron

John M. Ferron is a scholar working on Developmental and Educational Psychology, Statistics and Probability, Management Science and Operations Research, Clinical Psychology and Education, having authored 157 papers that have together received 5.8k indexed citations. Recurring topics across this work include Behavioral and Psychological Studies (64 papers), Optimal Experimental Design Methods (28 papers), Autism Spectrum Disorder Research (21 papers), Statistical Methods and Bayesian Inference (19 papers), Early Childhood Education and Development (18 papers), Child and Adolescent Psychosocial and Emotional Development (16 papers), Advanced Causal Inference Techniques (13 papers) and Statistical Methods in Clinical Trials (12 papers). The work is most often cited by research in Developmental and Educational Psychology (2.1k citations), Statistics and Probability (791 citations), Management Science and Operations Research (824 citations), Clinical Psychology (1.1k citations) and Cognitive Neuroscience (929 citations). John M. Ferron has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Jeffrey D. Kromrey, S. Natasha Beretvas, Wim Van Den Noortgate, Mariola Moeyaert, Shannon M. Suldo, Joel R. Levin, Bethany A. Bell, Kristine Y. Hogarty, Nicholas H. Ng'andu and Patricia Garrett. Their work appears in journals such as The Journal of Experimental Education, Behavior Research Methods, Educational and Psychological Measurement, Journal of School Psychology and Multivariate Behavioral Research.

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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