Steven de Rooij
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Statistics and Probability top 10%
- Computer Networks and Communications
- Computational Theory and Mathematics
- Co-authors
- Peter GrünwaldTim van ErvenGerben Klaas Dirk de VriesPaul VitányiWouter M. KoolenPeter BloemWojciech KotłowskiAlexander Shen
- Topics
- Machine Learning and Algorithms (7 papers)Advanced Bandit Algorithms Research (5 papers)Algorithms and Data Compression (5 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceStatistics and Probability
- Journals
- Journal of the Royal Statistical Society Series B (Statistical Methodology)IEEE Transactions on ComputersTheoretical Computer Science
- Partner nations
- NetherlandsUnited KingdomRussia
In The Last Decade
Steven de Rooij
17 papers receiving 153 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 118
- Management Science and Operations Research 49
- Statistics and Probability 25
- Computer Networks and Communications 21
- Computational Theory and Mathematics 20
Countries citing papers authored by Steven de Rooij
This map shows the geographic impact of Steven de Rooij'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 Steven de Rooij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven de Rooij more than expected).
Fields of papers citing papers by Steven de Rooij
This network shows the impact of papers produced by Steven de Rooij. 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 Steven de Rooij. The network helps show where Steven de Rooij may publish in the future.
Co-authorship network of co-authors of Steven de Rooij
This figure shows the co-authorship network connecting the top 25 collaborators of Steven de Rooij. A scholar is included among the top collaborators of Steven de Rooij 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 Steven de Rooij. Steven de Rooij is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Quasiparticle Dynamics in Optical MKIDs: Single Photon Response and Temperture Dependent Generation-Recombination Noise | 1 |
| 2 | 9 | |
| 3 | 24 | |
| 4 | 5 | |
| 5 | A fast and simple graph kernel for RDF | 8 |
| 6 | 4 | |
| 7 | 37 | |
| 8 | Adaptive Hedge | 8 |
| 9 | 7 | |
| 10 | Following the Flattened Leader | 4 |
| 11 | 7 | |
| 12 | Learning the Switching Rate by Discretising Bernoulli Sources Online | 8 |
| 13 | Catching Up Faster in Bayesian Model Selection and Model Averaging | 8 |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 0 | |
| 18 | Minimum Description Length Model Selection - Problems and Extensions | 18 |
About Steven de Rooij
Steven de Rooij is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability, having authored 18 papers that have together received 162 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (7 papers), Advanced Bandit Algorithms Research (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Management Science and Operations Research (49 citations), Artificial Intelligence (118 citations) and Statistics and Probability (25 citations). Steven de Rooij has collaborated with scholars based in Netherlands, United Kingdom and Russia. Frequent co-authors include Peter Grünwald, Tim van Erven, Gerben Klaas Dirk de Vries, Paul Vitányi, Wouter M. Koolen, Peter Bloem, Wojciech Kotłowski, Alexander Shen, A. P. Dawid and Glenn Shafer. Their work appears in journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), IEEE Transactions on Computers and Theoretical Computer Science.
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.