Daniël Lakens

28.2k total citations · 9 hit papers
129 papers, 15.7k citations indexed

About

Daniël Lakens is a scholar working on Statistics, Probability and Uncertainty, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Daniël Lakens has authored 129 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics, Probability and Uncertainty, 33 papers in Experimental and Cognitive Psychology and 26 papers in Social Psychology. Recurrent topics in Daniël Lakens's work include Meta-analysis and systematic reviews (31 papers), Behavioral Health and Interventions (17 papers) and Mental Health Research Topics (16 papers). Daniël Lakens is often cited by papers focused on Meta-analysis and systematic reviews (31 papers), Behavioral Health and Interventions (17 papers) and Mental Health Research Topics (16 papers). Daniël Lakens collaborates with scholars based in Netherlands, United States and United Kingdom. Daniël Lakens's co-authors include Anne M. Scheel, Peder Mortvedt Isager, Marie Delacre, Christophe Leys, Brian A. Nosek, Aaron R. Caldwell, Casper J. Albers, Nils B. Jostmann, Ellen Evers and Farid Anvari and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniël Lakens

118 papers receiving 15.3k citations

Hit Papers

Calculating and reporting effect sizes to facilitate cumu... 2013 2026 2017 2021 2013 2017 2018 2022 2017 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs
    2013 6.7k citations Daniël Lakens profile →
  2. Equivalence Tests
    2017 1.2k citations Daniël Lakens Social Psychological and Personality Science profile →
  3. Equivalence Testing for Psychological Research: A Tutorial
    2018 903 citations Daniël Lakens, Anne M. Scheel et al. Advances in Methods and Practices in Psychological Science profile →
  4. Sample Size Justification
    2022 704 citations Daniël Lakens Collabra Psychology profile →
  5. Why Psychologists Should by Default Use Welch’s t-test Instead of Student’s t-test
    2017 631 citations Marie Delacre, Daniël Lakens et al. SHILAP Revista de lepidopterología profile →
  6. Registered Reports
    2014 432 citations Daniël Lakens et al. profile →
  7. Simulation-Based Power Analysis for Factorial Analysis of Variance Designs
    2021 294 citations Daniël Lakens, Aaron R. Caldwell Advances in Methods and Practices in Psychological Science profile →
  8. An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports
    2021 206 citations Anne M. Scheel, Daniël Lakens et al. Advances in Methods and Practices in Psychological Science profile →
  9. Why Hypothesis Testers Should Spend Less Time Testing Hypotheses
    2020 181 citations Anne M. Scheel, Leonid Tiokhin et al. Perspectives on Psychological Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniël Lakens Netherlands 40 3.7k 3.1k 2.8k 1.9k 1.7k 129 15.7k
Hannah R. Rothstein United States 24 1.9k 0.5× 3.3k 1.1× 2.2k 0.8× 3.3k 1.7× 4.3k 2.5× 53 25.9k
Michael Borenstein United States 40 2.3k 0.6× 2.3k 0.8× 2.1k 0.7× 2.1k 1.1× 4.1k 2.4× 97 26.4k
Wolfgang Viechtbauer Netherlands 55 3.5k 0.9× 3.9k 1.3× 5.6k 2.0× 2.3k 1.2× 7.1k 4.2× 186 34.2k
Jeremy N. V. Miles United States 58 2.2k 0.6× 5.1k 1.7× 2.9k 1.0× 4.3k 2.3× 6.7k 4.0× 200 31.5k
Geoff Cumming Australia 35 1.6k 0.4× 1.3k 0.4× 1.5k 0.5× 1.0k 0.5× 1.0k 0.6× 102 10.4k
Scott E. Maxwell United States 58 2.0k 0.5× 4.8k 1.6× 3.4k 1.2× 3.0k 1.6× 5.1k 3.0× 180 19.9k
Eric‐Jan Wagenmakers Netherlands 83 14.6k 3.9× 4.0k 1.3× 6.5k 2.4× 2.2k 1.1× 1.9k 1.1× 315 32.8k
Michael Lee United States 51 3.2k 0.9× 1.1k 0.4× 1.6k 0.6× 601 0.3× 798 0.5× 384 12.1k
Domenic V. Cicchetti United States 59 6.0k 1.6× 2.3k 0.7× 1.8k 0.6× 1.4k 0.7× 6.8k 4.0× 188 24.7k
Marcus R. Munafò United Kingdom 83 7.8k 2.1× 3.1k 1.0× 5.9k 2.1× 1.6k 0.8× 6.1k 3.6× 640 38.0k

Countries citing papers authored by Daniël Lakens

Since Specialization
Citations

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

Fields of papers citing papers by Daniël Lakens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniël Lakens. 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 Daniël Lakens. The network helps show where Daniël Lakens may publish in the future.

Co-authorship network of co-authors of Daniël Lakens

This figure shows the co-authorship network connecting the top 25 collaborators of Daniël Lakens. A scholar is included among the top collaborators of Daniël Lakens 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 Daniël Lakens. Daniël Lakens 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.
Lakens, Daniël. (2025). Concerns About Theorizing, Relevance, Generalizability, and Methodology Across Two Crises in Social Psychology. International Review of Social Psychology. 38(1). 6–6.
2.
Lakens, Daniël, et al.. (2025). An Inception-Cohort Study Quantifying How Many Registered Studies Are Publicly Shared. Advances in Methods and Practices in Psychological Science. 8(1). 2 indexed citations
3.
4.
Girardi, Paolo, Daniël Lakens, Gianmarco Altoè, et al.. (2024). Post-selection Inference in Multiverse Analysis (PIMA): An Inferential Framework Based on the Sign Flipping Score Test. Psychometrika. 89(2). 542–568. 4 indexed citations
5.
Zhang, Chao, Arlette van Wissen, Ron Dotsch, Daniël Lakens, & Wijnand A. IJsselsteijn. (2024). A Sequential Sampling Approach to the Integration of Habits and Goals. Computational Brain & Behavior. 7(3). 480–501. 1 indexed citations
6.
Murphy, Jennifer, et al.. (2023). Publication bias, statistical power and reporting practices in the Journal of Sports Sciences: potential barriers to replicability. Journal of Sports Sciences. 41(16). 1507–1517. 15 indexed citations
7.
Tiokhin, Leonid, Karthik Panchanathan, Paul E. Smaldino, & Daniël Lakens. (2023). Shifting the Level of Selection in Science. Perspectives on Psychological Science. 19(6). 908–920. 8 indexed citations
8.
Delacre, Marie, Daniël Lakens, & Christophe Leys. (2022). Correction: Why Psychologists Should by Default Use Welch’s t-test Instead of Student’s t-test. SHILAP Revista de lepidopterología. 35(1). 12 indexed citations
9.
Isager, Peder Mortvedt, Robbie C. M. van Aert, Štěpán Bahník, et al.. (2021). Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints.. Psychological Methods. 28(2). 438–451. 36 indexed citations
10.
Lakens, Daniël, et al.. (2021). Reviewers' Decision to Sign Reviews is Related to Their Recommendation. 5. 2 indexed citations
11.
Lakens, Daniël. (2021). The Practical Alternative to the p Value Is the Correctly Used p Value. Perspectives on Psychological Science. 16(3). 639–648. 68 indexed citations
12.
Lakens, Daniël. (2021). Invited commentary: Comparing the independent segments procedure with group sequential designs.. Psychological Methods. 26(4). 498–500.
13.
Lakens, Daniël & Aaron R. Caldwell. (2021). Simulation-Based Power Analysis for Factorial Analysis of Variance Designs. Advances in Methods and Practices in Psychological Science. 4(1). 294 indexed citations breakdown →
14.
15.
Lakens, Daniël, Neil McLatchie, Peder Mortvedt Isager, Anne M. Scheel, & Zoltán Dienes. (2018). Improving Inferences About Null Effects With Bayes Factors and Equivalence Tests. The Journals of Gerontology Series B. 75(1). 45–57. 191 indexed citations
16.
Lakens, Daniël. (2017). Equivalence Tests. Social Psychological and Personality Science. 8(4). 355–362. 1227 indexed citations breakdown →
17.
Lakens, Daniël. (2017). Grounding Social Embodiment. PsyArXiv (OSF Preprints). 1 indexed citations
18.
Delacre, Marie, Daniël Lakens, & Christophe Leys. (2017). Why Psychologists Should by Default Use Welch's t-test Instead of Student's t-test (in press for the International Review of Social Psychology).. OSF Preprints (OSF Preprints). 26 indexed citations
19.
Morey, Richard D., Chris Chambers, Peter J. Etchells, et al.. (2016). The Peer Reviewers' Openness Initiative: incentivizing open research practices through peer review. Royal Society Open Science. 3(1). 150547–150547. 133 indexed citations
20.
Santiago, Julio & Daniël Lakens. (2013). Polarity correspondence does not explain the SNARC effect. Cognitive Science. 35(35). 1 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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