Max Hinne

2.8k citations
34 papers · 1.5k indexed · 1 hit paper · h-index 13

Max Hinne

31 papers receiving 1.5k citations

Hit Papers

The JASP guidelines for conducting and reporting a Bayesi...6522020202620222024200400600

Peers

Max Hinne
Comparison fields: 5 of 164
  • Cognitive Neuroscience 701
  • Experimental and Cognitive Psychology 341
  • General Decision Sciences 42
  • Statistics and Probability 109
  • Applied Psychology 67
Replace Fabian Dablander with:
Fabian Dablander Netherlands
Martin Šmíra Czechia
Ravi Selker Netherlands
Jonathon Love Netherlands
Timo von Oertzen Germany
Olivier Renaud Switzerland
Shane T. Mueller United States
Wouter D. Weeda Netherlands
Ingmar Visser Netherlands
Johnny van Doorn Netherlands
Max Hinne relative to Fabian Dablander Netherlands Fabian Dablander's profile →
Citations per field
00.5×1.5×2.2×
Fabian Dablander · 1×
Citations per year

Countries citing papers authored by Max Hinne

Since Specialization
Citations

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

Fields of papers citing papers by Max Hinne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Max Hinne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Max Hinne Line = papers co-authored together Max Hinne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20247
3 202211
4 20217
5 20209
6
The JASP guidelines for conducting and reporting a Bayesian analysisbreakdown →
2020652
7 2020181
8 201982
9 2019107
10 20185
11 20176
12 201619
13 201517
14 201511
15 20145
16 201336
17 201221
18
When is a query a question? Reconstructing wh-requests from ad hoc-queries
20100
19
How does the Library Searcher Behave? A Contrastive Study of Library Search against Ad-hoc Search.
20102
20
Annotating URLs with query terms: What factors predict reliable annotations?
20091

About Max Hinne

Max Hinne is a scholar working on Statistics and Probability, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), Web Data Mining and Analysis (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Advanced Text Analysis Techniques (4 papers), Statistical Methods and Inference (4 papers), Information Retrieval and Search Behavior (4 papers), Mental Health Research Topics (4 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Cognitive Neuroscience (701 citations), Experimental and Cognitive Psychology (341 citations) and General Decision Sciences (42 citations). Max Hinne has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Fabian Dablander, Quentin F. Gronau, Don van den Bergh, Eric‐Jan Wagenmakers, Johnny van Doorn, Koen Derks, Alexander Ly, Alexandra Sarafoglou, Angelika Marlene Stefan and Šimon Kucharský. Their work appears in journals such as NeuroImage, PLoS ONE, Scientific Reports, PLoS Computational Biology and Genetics in Medicine.

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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2026