David P. MacKinnon
Impact in
- Applied Psychology top 0.02%
- Behavioral Health and Interventions
- Clinical Psychology top 0.02%
- Child and Adolescent Psychosocial and Emotional Development
Papers in
-
- Advanced Causal Inference Techniques 47
- Statistical Methods and Bayesian Inference 28
- Statistical Methods in Clinical Trials 18
- Co-authors
- Chondra M. Lockwood (7 shared papers)Matthew S. Fritz (9 shared papers)Jason Williams (5 shared papers)Amanda J. Fairchild (6 shared papers)Stephen G. West (5 shared papers)Jeanne M. Hoffman (3 shared papers)Virgil L. Sheets (2 shared papers)James H. Dwyer (13 shared papers)
- Journals
- Multivariate Behavioral Research (18 papers)Structural Equation Modeling A Multidisciplinary Journal (13 papers)Psychological Methods (10 papers)Prevention Science (9 papers)Behavior Research Methods (8 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David P. MacKinnon
261 papers receiving 52.1k citations
David P. MacKinnon's Hit Papers
Peers
Comparison fields: 5 of 221
- Applied Psychology 4.1k
- Clinical Psychology 12.8k
- Social Psychology 11.7k
- Organizational Behavior and Human Resource Management 5.9k
- Experimental and Cognitive Psychology 5.8k
Countries citing papers authored by David P. MacKinnon
This map shows the geographic impact of David P. MacKinnon'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 P. MacKinnon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. MacKinnon more than expected).
Fields of papers citing papers by David P. MacKinnon
This network shows the impact of papers produced by David P. MacKinnon. 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 P. MacKinnon. The network helps show where David P. MacKinnon may publish in the future.
Co-authors
The 25 scholars most cited alongside David P. MacKinnon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 270 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comparison of methods to test mediation and other intervening variable effects. Hit paper breakdown → | 2002 | 7715 |
| 2 | Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods Hit paper breakdown → | 2004 | 6337 |
| 3 | Mediation Analysis Hit paper breakdown → | 2006 | 4499 |
| 4 | Introduction to Statistical Mediation Analysis Hit paper breakdown → | 2012 | 3988 |
| 5 | Required Sample Size to Detect the Mediated Effect Hit paper breakdown → | 2007 | 3380 |
| 6 | Equivalence of the Mediation, Confounding and Suppression Effect Hit paper breakdown → | 2000 | 3146 |
| 7 | Estimating Mediated Effects in Prevention Studies Hit paper breakdown → | 1993 | 1606 |
| 8 | A Simulation Study of Mediated Effect Measures Hit paper breakdown → | 1995 | 1398 |
| 9 | RMediation: An R package for mediation analysis confidence intervals Hit paper breakdown → | 2011 | 1185 |
| 10 | Distribution of the product confidence limits for the indirect effect: Program PRODCLIN Hit paper breakdown → | 2007 | 1148 |
| 11 | Multilevel Modeling of Individual and Group Level Mediated Effects Hit paper breakdown → | 2001 | 1108 |
| 12 | Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models Hit paper breakdown → | 2008 | 1021 |
| 13 | Tests of the Three-Path Mediated Effect Hit paper breakdown → | 2007 | 1008 |
| 14 | Current Directions in Mediation Analysis Hit paper breakdown → | 2009 | 731 |
| 15 | A General Model for Testing Mediation and Moderation Effects Hit paper breakdown → | 2008 | 654 |
| 16 | Bayesian mediation analysis. Hit paper breakdown → | 2009 | 477 |
| 17 | 2002 | 414 | |
| 18 | Design approaches to experimental mediation Hit paper breakdown → | 2016 | 403 |
| 19 | 2003 | 357 | |
| 20 | 1999 | 354 |
About David P. MacKinnon
David P. MacKinnon is a scholar working on Statistics and Probability, General Health Professions, Clinical Psychology, Applied Psychology and Sociology and Political Science, having authored 270 papers that have together received 54.5k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (47 papers), Behavioral Health and Interventions (35 papers), Substance Abuse Treatment and Outcomes (30 papers), Statistical Methods and Bayesian Inference (28 papers), Psychometric Methodologies and Testing (25 papers), Child and Adolescent Psychosocial and Emotional Development (24 papers), Mental Health Research Topics (23 papers) and Statistical Methods in Clinical Trials (18 papers). The work is most often cited by research in Applied Psychology (4.1k citations), Clinical Psychology (12.8k citations), Social Psychology (11.7k citations), Organizational Behavior and Human Resource Management (5.9k citations) and Experimental and Cognitive Psychology (5.8k citations). David P. MacKinnon has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Chondra M. Lockwood, Matthew S. Fritz, Jason Williams, Amanda J. Fairchild, Stephen G. West, Jeanne M. Hoffman, Virgil L. Sheets, James H. Dwyer, Jennifer L. Krull and Davood Tofighi. Their work appears in journals such as Multivariate Behavioral Research, Structural Equation Modeling A Multidisciplinary Journal, Psychological Methods, Prevention Science and Behavior Research Methods.
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.