Koen Derks

3.8k citations
11 papers · 953 indexed · 1 hit paper · h-index 6
Topics
Advanced Statistical Methods and Models (4 papers)Forecasting Techniques and Applications (3 papers)Statistical Methods in Clinical Trials (3 papers)
Partner nations
NetherlandsUnited States

In The Last Decade

Koen Derks

8 papers receiving 941 citations

Hit Papers

The JASP guidelines for conducting and reporting a Bayesi...20202026202220242020200400600

Peers

Koen Derks
Comparison fields: 5 of 139
  • Cognitive Neuroscience 468
  • Experimental and Cognitive Psychology 206
  • Social Psychology 157
  • Developmental and Educational Psychology 119
  • Clinical Psychology 90
Replace Šimon Kucharský with:
Šimon Kucharský Netherlands
Akash Gupta Netherlands
Jan G. Voelkel United States
Tim Draws Netherlands
Johnny van Doorn Netherlands
Alexandra Sarafoglou Netherlands
Angelika Marlene Stefan Netherlands
Max Hinne Netherlands
Don van den Bergh Netherlands
Fabian Dablander Netherlands
Koen Derks relative to Šimon Kucharský Netherlands Šimon Kucharský's profile →
Citations per field
00.5×1.5×
Šimon Kucharský · 1×
Citations per year

Countries citing papers authored by Koen Derks

Since Specialization
Citations

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

Fields of papers citing papers by Koen Derks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koen Derks

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 6
5 3
6 3
7 5
8
The JASP guidelines for conducting and reporting a Bayesian analysisbreakdown →
652
9 181
10 21
11 82

About Koen Derks

Koen Derks is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 11 papers that have together received 953 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (4 papers), Forecasting Techniques and Applications (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Cognitive Neuroscience (468 citations), General Decision Sciences (32 citations) and Experimental and Cognitive Psychology (206 citations). Koen Derks has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Eric‐Jan Wagenmakers, Fabian Dablander, Don van den Bergh, Alexander Ly, Alexandra Sarafoglou, Angelika Marlene Stefan, Šimon Kucharský, Maarten Marsman, Quentin F. Gronau and Dóra Matzke. Their work appears in journals such as SHILAP Revista de lepidopterología, Psychonomic Bulletin & Review and Auditing A Journal of Practice & Theory.

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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