Julia M. Haaf

3.4k total citations · 1 hit paper
43 papers, 1.5k citations indexed

About

Julia M. Haaf is a scholar working on Cognitive Neuroscience, Statistics and Probability and Experimental and Cognitive Psychology. According to data from OpenAlex, Julia M. Haaf has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Statistics and Probability and 10 papers in Experimental and Cognitive Psychology. Recurrent topics in Julia M. Haaf's work include Neural and Behavioral Psychology Studies (12 papers), Statistical Methods and Bayesian Inference (10 papers) and Decision-Making and Behavioral Economics (9 papers). Julia M. Haaf is often cited by papers focused on Neural and Behavioral Psychology Studies (12 papers), Statistical Methods and Bayesian Inference (10 papers) and Decision-Making and Behavioral Economics (9 papers). Julia M. Haaf collaborates with scholars based in Netherlands, United States and Germany. Julia M. Haaf's co-authors include Jeffrey N. Rouder, Eric‐Jan Wagenmakers, Quentin F. Gronau, Angelika Marlene Stefan, Alexander Etz, Johnny van Doorn, Alexander Ly, Alexandra Sarafoglou, Maarten Marsman and Don van den Bergh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Experimental Psychology General and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Julia M. Haaf

39 papers receiving 1.5k citations

Hit Papers

align trajectories

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.

The JASP guidelines for conducting and reporting a Bayesian analysis

2020 652 citations Johnny van Doorn, Don van den Bergh et al. Psychonomic Bulletin & Review profile →

Peers

Julia M. Haaf

CN

ECP

DEP

SP

Ravi Selker Netherlands

Jonathon Love Netherlands

Martin Šmíra Czechia

Alexander Etz United States

Don van den Bergh Netherlands

Jordan M. Province United States

Fabian Dablander Netherlands

Alexandra Sarafoglou Netherlands

Max Hinne Netherlands

Angelika Marlene Stefan Netherlands

Ravi Selker Netherlands

Julia M. Haaf

728 ×1.0

CN

402 ×1.0

ECP

217 ×0.9

DEP

286 ×1.4

SP

130 ×0.8

SP

Citations per year, relative to Julia M. Haaf Julia M. Haaf (= 1×) peers Ravi Selker

Countries citing papers authored by Julia M. Haaf

Since Specialization

Citations

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

Fields of papers citing papers by Julia M. Haaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia M. Haaf

This figure shows the co-authorship network connecting the top 25 collaborators of Julia M. Haaf. A scholar is included among the top collaborators of Julia M. Haaf 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 Julia M. Haaf. Julia M. Haaf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Heathcote, Andrew, et al.. (2025). Parameter identifiability in evidence-accumulation models: The effect of error rates on the diffusion decision model and the linear ballistic accumulator. Psychonomic Bulletin & Review. 32(3). 1411–1424.

2.

Gaal, Simon van, et al.. (2025). Confidence reports during perceptual decision making dissociate from changes in subjective experience. Communications Psychology. 3(1). 81–81.

3.

Rouder, Jeffrey N., Aakriti Kumar, & Julia M. Haaf. (2023). Why many studies of individual differences with inhibition tasks may not localize correlations. Psychonomic Bulletin & Review. 30(6). 2049–2066. 24 indexed citations

4.

Hoogeveen, Suzanne, et al.. (2023). Improving Statistical Analysis in Team Science: The Case of a Bayesian Multiverse of Many Labs 4. Advances in Methods and Practices in Psychological Science. 6(3). 4 indexed citations

5.

Sarafoglou, Alexandra, Frantis̆ek Bartos̆, Angelika Marlene Stefan, Julia M. Haaf, & Eric‐Jan Wagenmakers. (2023). “This behavior strikes us as ideal”: assessment and anticipations of Huisman (2022). Psychonomic Bulletin & Review. 31(1). 242–248. 1 indexed citations

6.

Gaal, Simon van, et al.. (2023). Predictions and rewards affect decision-making but not subjective experience. Proceedings of the National Academy of Sciences. 120(44). e2220749120–e2220749120. 9 indexed citations

7.

Moors, Pieter, et al.. (2022). Same stimulus, same temporal context, different percept? Individual differences in hysteresis and adaptation when perceiving multistable dot lattices. i-Perception. 13(4). 1243890228–1243890228. 11 indexed citations

8.

Haaf, Julia M., et al.. (2022). Creative or not? Hierarchical diffusion modeling of the creative evaluation process.. Journal of Experimental Psychology Learning Memory and Cognition. 49(6). 849–865. 3 indexed citations

9.

Haaf, Julia M., et al.. (2022). Meaningful Comparisons With Ordinal-Scale Items. Collabra Psychology. 8(1). 4 indexed citations

10.

Doorn, Johnny van, Frederik Aust, Julia M. Haaf, Angelika Marlene Stefan, & Eric‐Jan Wagenmakers. (2021). Bayes Factors for Mixed Models. Computational Brain & Behavior. 6(1). 1–13. 23 indexed citations

11.

Bergh, Don van den, Julia M. Haaf, Alexander Ly, Jeffrey N. Rouder, & Eric‐Jan Wagenmakers. (2021). A Cautionary Note on Estimating Effect Size. Advances in Methods and Practices in Psychological Science. 4(1). 7 indexed citations

12.

Sarafoglou, Alexandra, Julia M. Haaf, Alexander Ly, et al.. (2021). Evaluating multinomial order restrictions with bridge sampling.. Psychological Methods. 28(2). 322–338. 5 indexed citations

13.

Rouder, Jeffrey N. & Julia M. Haaf. (2021). Are There Reliable Qualitative Individual Difference in Cognition?. Journal of Cognition. 4(1). 46–46. 22 indexed citations

14.

Haaf, Julia M. & Jeffrey N. Rouder. (2021). Does every study? Implementing ordinal constraint in meta-analysis.. Psychological Methods. 28(2). 472–487. 4 indexed citations

15.

Gronau, Quentin F., et al.. (2021). A Primer on Bayesian Model-Averaged Meta-Analysis. Advances in Methods and Practices in Psychological Science. 4(3). 51 indexed citations

16.

Haaf, Julia M., et al.. (2020). Revisiting the remember–know task: Replications of Gardiner and Java (1990). Memory & Cognition. 49(1). 46–66. 11 indexed citations

17.

Rouder, Jeffrey N., et al.. (2019). Minimizing Mistakes in Psychological Science. Advances in Methods and Practices in Psychological Science. 2(1). 3–11. 21 indexed citations

18.

Rouder, Jeffrey N. & Julia M. Haaf. (2019). A psychometrics of individual differences in experimental tasks. Psychonomic Bulletin & Review. 26(2). 452–467. 191 indexed citations

19.

Haaf, Julia M., et al.. (2018). Of two minds or one? A registered replication of Rydell et al. (2006). Cognition & Emotion. 32(8). 1708–1727. 17 indexed citations

20.

Haaf, Julia M. & Jeffrey N. Rouder. (2018). Some do and some don’t? Accounting for variability of individual difference structures. Psychonomic Bulletin & Review. 26(3). 772–789. 46 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.

Explore authors with similar magnitude of impact