Maarten Speekenbrink

5.1k citations
77 papers · 2.9k indexed · 2 hit papers · h-index 24

Maarten Speekenbrink

69 papers receiving 2.8k citations

Hit Papers

A tutorial on Gaussian process regression: Modelling, exp...1.1k20152026201820222505007501000

Peers

Maarten Speekenbrink
Comparison fields: 5 of 190
  • General Decision Sciences 265
  • Cognitive Neuroscience 609
  • Applied Psychology 141
  • Experimental and Cognitive Psychology 252
  • Developmental and Educational Psychology 240
Replace Eric Schulz with:
Eric Schulz United States
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Maarten Speekenbrink relative to Eric Schulz United States Eric Schulz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maarten Speekenbrink

Since Specialization
Citations

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

Fields of papers citing papers by Maarten Speekenbrink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Maarten Speekenbrink, 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 Maarten Speekenbrink Line = papers co-authored together Maarten Speekenbrink links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 202021
5 20199
6 201816
7 2018121
8
Task-oriented Bayesian inference in interval timing: People use their prior reproduction experience to calibrate time reproduction.
20171
9 20171
10
Probing the Compositionality of Intuitive Functions
20167
11
Quantifying mismatch in Bayesian optimization
20166
12
Learning and decisions in contextual multi-armed bandit tasks
201510
13
Active learning as a means to distinguish among prominent decision strategies
20153
14
Assessing the perceived predictability of functions
201512
15
Uncertainty and exploration in a restless bandit task
20147
16
Predict choice: A comparison of 21 mathematical models
20143
17
Change detection under autocorrelation
20123
18 201171
19
Prediction vs. Control: Which is best for learning about a dynamic environment?
20091
20
Learning in Amnesia
20061

About Maarten Speekenbrink

Maarten Speekenbrink is a scholar working on General Decision Sciences, Management Science and Operations Research and Applied Psychology, having authored 77 papers that have together received 2.9k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (20 papers), Child and Animal Learning Development (11 papers), Complex Systems and Decision Making (10 papers), Advanced Bandit Algorithms Research (10 papers), Experimental Behavioral Economics Studies (8 papers), Neural and Behavioral Psychology Studies (8 papers), Behavioral Health and Interventions (7 papers) and Gaussian Processes and Bayesian Inference (7 papers). The work is most often cited by research in General Decision Sciences (265 citations), Cognitive Neuroscience (609 citations) and Applied Psychology (141 citations). Maarten Speekenbrink has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Eric Schulz, Andreas Krause, Ingmar Visser, Sarah‐Jayne Blakemore, Emmanouil Konstantinidis, Lisa J. Knoll, Lucía Magis‐Weinberg, David R. Shanks, Charley M. Wu and David A. Lagnado. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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