Wouter M. Koolen

39 papers receiving 262 citations

Peers

Wouter M. Koolen
Comparison fields: 5 of 46
  • Management Science and Operations Research 150
  • Statistics and Probability 68
  • Artificial Intelligence 161
  • Statistics, Probability and Uncertainty 17
  • Computer Networks and Communications 51
Replace Steven de Rooij with:
Steven de Rooij Netherlands
Daniil Ryabko France
Hei Chan United States
Xianchao Xie China
Tengyuan Liang United States
G. I. Ivchenko Russia
Ourania Chryssaphinou Greece
H. Papageorgiou Greece
Han Xiao China
Antti Hyttinen Finland
Wouter M. Koolen relative to Steven de Rooij Netherlands Steven de Rooij's profile →
Citations per field
00.5×5×10×13.5×
Steven de Rooij · 1×
Citations per year

Countries citing papers authored by Wouter M. Koolen

Since Specialization
Citations

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

Fields of papers citing papers by Wouter M. Koolen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Wouter M. Koolen, 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 Wouter M. Koolen Line = papers co-authored together Wouter M. Koolen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hedging Structured Concepts
201036
2 202025
3 202124
4 202424
5 201222
6 201116
7
Putting Bayes to sleep
201210
8
Adaptive Hedge
20118
9
Combining strategies efficiently: high-quality decisions from conflicting advice
20118
10 20217
11
The Pareto Regret Frontier
20136
12 20086
13 20135
14
Minimax time series prediction
20155
15
Pure Exploration with Multiple Correct Answers
20195
16 20125
17 20125
18 20165
19
Minimax fixed-design linear regression
20154
20
Second-order quantile methods for experts and combinatorial games
20154

About Wouter M. Koolen

Wouter M. Koolen is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Statistics and Probability, having authored 42 papers that have together received 267 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (27 papers), Machine Learning and Algorithms (21 papers), Optimization and Search Problems (9 papers), Computability, Logic, AI Algorithms (6 papers), Auction Theory and Applications (4 papers), Bayesian Modeling and Causal Inference (4 papers), Data Stream Mining Techniques (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Management Science and Operations Research (150 citations), Statistics and Probability (68 citations), Artificial Intelligence (161 citations), Statistics, Probability and Uncertainty (17 citations) and Computer Networks and Communications (51 citations). Wouter M. Koolen has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Peter Grünwald, Manfred K. Warmuth, Jyrki Kivinen, Vladimir Vovk, Steven de Rooij, Tim van Erven, Aaditya Ramdas, Alexey Chernov, Johannes Ruf and Martin Larsson. Their work appears in journals such as International Journal of Approximate Reasoning, Theoretical Computer Science, Journal of the Royal Statistical Society Series B (Statistical Methodology), IEEE/ACM Transactions on Computational Biology and Bioinformatics and Electronic Journal of Probability.

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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