John J. McArdle

18.5k total citations · 3 hit papers
157 papers, 12.2k citations indexed

About

John J. McArdle is a scholar working on Experimental and Cognitive Psychology, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, John J. McArdle has authored 157 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Experimental and Cognitive Psychology, 29 papers in Statistics and Probability and 21 papers in Management Science and Operations Research. Recurrent topics in John J. McArdle's work include Cognitive Abilities and Testing (45 papers), Psychometric Methodologies and Testing (18 papers) and Advanced Statistical Modeling Techniques (16 papers). John J. McArdle is often cited by papers focused on Cognitive Abilities and Testing (45 papers), Psychometric Methodologies and Testing (18 papers) and Advanced Statistical Modeling Techniques (16 papers). John J. McArdle collaborates with scholars based in United States, Germany and Sweden. John J. McArdle's co-authors include John L. Horn, Fumiaki Hamagami, David Epstein, Alberto Maydeu‐Olivares, Emilio Ferrer, Kevin J. Grimm, Richard W. Woodcock, Nancy L. Pedersen, Deborah Finkel and Chandra A. Reynolds and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

John J. McArdle

155 papers receiving 11.6k citations

Hit Papers

Latent Variable Modeling of Differences... 1987 2026 2000 2013 2008 1992 1987 400 800 1.2k

Peers

John J. McArdle
John R. Nesselroade United States
Donald Hedeker United States
Daniel J. Bauer United States
Alexander von Eye United States
Kevin J. Grimm United States
Conor V. Dolan Netherlands
Michael Eid Germany
John B. Willett United States
Nilàm Ram United States
John R. Nesselroade United States
John J. McArdle
Citations per year, relative to John J. McArdle John J. McArdle (= 1×) peers John R. Nesselroade

Countries citing papers authored by John J. McArdle

Since Specialization
Citations

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

Fields of papers citing papers by John J. McArdle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. McArdle

This figure shows the co-authorship network connecting the top 25 collaborators of John J. McArdle. A scholar is included among the top collaborators of John J. McArdle 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 John J. McArdle. John J. McArdle 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.
Jacobucci, Ross & John J. McArdle. (2015). Regularized Structural Equation Modeling. Multivariate Behavioral Research. 50(6). 736–736. 2 indexed citations
2.
Blankson, A. Nayena & John J. McArdle. (2014). A Brief Report on the Factor Structure of the Cognitive Measures in the HRS/AHEAD Studies. Journal of Aging Research. 2014. 1–5. 19 indexed citations
3.
McArdle, John J., Thomas S. Paskus, & Steven M. Boker. (2013). A Multilevel Multivariate Analysis of Academic Performances in College Based on NCAA Student-Athletes. Multivariate Behavioral Research. 48(1). 57–95. 10 indexed citations
4.
Ghisletta, Paolo & John J. McArdle. (2012). Latent Curve Models and Latent Change Score Models Estimated in R. Structural Equation Modeling A Multidisciplinary Journal. 19(4). 651–682. 57 indexed citations
5.
McArdle, John J.. (2011). Longitudinal dynamic analyses of cognition in the health and retirement study panel. AStA Advances in Statistical Analysis. 95(4). 453–480. 16 indexed citations
6.
Smith, James P., John J. McArdle, & Robert J. Willis. (2010). Financial Decision Making and Cognition in a Family Context. The Economic Journal. 120(548). F363–F380. 147 indexed citations
7.
Finkel, Deborah, Chandra A. Reynolds, John J. McArdle, & Nancy L. Pedersen. (2007). Age changes in processing speed as a leading indicator of cognitive aging.. Psychology and Aging. 22(3). 558–568. 205 indexed citations
8.
McArdle, John J.. (2006). Latent Curve Analyses of Longitudinal Twin Data Using a Mixed-Effects Biometric Approach. Twin Research and Human Genetics. 9(3). 343–359. 21 indexed citations
9.
King, Daniel W., Lynda A. King, John J. McArdle, et al.. (2006). Characterizing time in longitudinal trauma research. Journal of Traumatic Stress. 19(2). 205–215. 22 indexed citations
10.
Maydeu‐Olivares, Alberto & John J. McArdle. (2005). Contemporary psychometrics : a festschrift for Roderick P. McDonald. 459 indexed citations
11.
McArdle, John J. & Carol A. Prescott. (2005). Mixed-Effects Variance Components Models for Biometric Family Analyses. Behavior Genetics. 35(5). 631–652. 59 indexed citations
12.
Finkel, Deborah, Chandra A. Reynolds, John J. McArdle, Margaret Gatz, & Nancy L. Pedersen. (2003). Latent growth curve analyses of accelerating decline in cognitive abilities in late adulthood.. Developmental Psychology. 39(3). 535–550. 125 indexed citations
13.
Neale, Michael C. & John J. McArdle. (2000). Structured latent growth curves for twin data. Twin Research. 3(3). 165–177. 47 indexed citations
14.
Neale, Michael C. & John J. McArdle. (2000). Structured latent growth curves for twin data. Twin Research. 3(3). 165–177. 75 indexed citations
15.
Prescott, Carol A., Ronald C. Johnson, & John J. McArdle. (1999). Chorion type as a possible influence on the results and interpretation of twin study data. Twin Research. 2(4). 244–249. 16 indexed citations
16.
Prescott, Carol A., Ronald C. Johnson, & John J. McArdle. (1999). Chorion type as a possible influence on the results and interpretation of twin study data. Twin Research. 2(4). 244–249. 23 indexed citations
17.
McArdle, John J., Carol A. Prescott, Fumiaki Hamagami, & John L. Horn. (1998). A contemporary method for developmental‐genetic analyses of age changes in intellectual abilities. Developmental Neuropsychology. 14(1). 69–114. 62 indexed citations
18.
Prescott, Carol A., John J. McArdle, Earl S. Hishinuma, et al.. (1998). Prediction of Major Depression and Dysthymia From CES-D Scores Among Ethnic Minority Adolescents. Journal of the American Academy of Child & Adolescent Psychiatry. 37(5). 495–503. 115 indexed citations
19.
McArdle, John J. & Carol A. Prescott. (1992). Age-based construct validation using structural equation modeling. Experimental Aging Research. 18(3). 87–115. 58 indexed citations
20.
Horn, John L. & John J. McArdle. (1992). A practical and theoretical guide to measurement invariance in aging research. Experimental Aging Research. 18(3). 117–144. 1228 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026