Steffen Grünewälder
- Ecology
- Artificial Intelligence
- Small Animals top 10%
- Ecology, Evolution, Behavior and Systematics
- Cognitive Neuroscience
- Co-authors
- J. Weldon McNuttDavid W. MacdonaldFemke BroekhuisKlaus ObermayerArno OnkenMatthias H. MunkJohn Shawe‐TaylorAlan M. Wilson
- Topics
- Advanced Bandit Algorithms Research (4 papers)Neural dynamics and brain function (2 papers)Neural Networks and Applications (2 papers)
- Partner nations
- United KingdomGermanyBotswana
In The Last Decade
Steffen Grünewälder
13 papers receiving 217 citations
Peers
Comparison fields: 5 of 74
- Ecology 83
- Artificial Intelligence 46
- Small Animals 36
- Ecology, Evolution, Behavior and Systematics 30
- Cognitive Neuroscience 28
Countries citing papers authored by Steffen Grünewälder
This map shows the geographic impact of Steffen Grünewälder'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 Steffen Grünewälder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Grünewälder more than expected).
Fields of papers citing papers by Steffen Grünewälder
This network shows the impact of papers produced by Steffen Grünewälder. 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 Steffen Grünewälder. The network helps show where Steffen Grünewälder may publish in the future.
Co-authorship network of co-authors of Steffen Grünewälder
This figure shows the co-authorship network connecting the top 25 collaborators of Steffen Grünewälder. A scholar is included among the top collaborators of Steffen Grünewälder 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 Steffen Grünewälder. Steffen Grünewälder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces | 2 |
| 2 | Plug-in Estimators for Conditional Expectations and Probabilities | 2 |
| 3 | Bandits with Delayed Anonymous Feedback. | 0 |
| 4 | Optimistic Planning for the Stochastic Knapsack Problem | 3 |
| 5 | 16 | |
| 6 | 42 | |
| 7 | Construction of approximation spaces for reinforcement learning | 7 |
| 8 | Smooth Operators | 7 |
| 9 | 66 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 53 | |
| 13 | Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex | 4 |
| 14 | 1 |
About Steffen Grünewälder
Steffen Grünewälder is a scholar working on Developmental Biology, Management Science and Operations Research and Statistics and Probability, having authored 14 papers that have together received 221 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (4 papers), Neural dynamics and brain function (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Developmental Biology (18 citations), Small Animals (36 citations) and Ecology (83 citations). Steffen Grünewälder has collaborated with scholars based in United Kingdom, Germany and Botswana. Frequent co-authors include J. Weldon McNutt, David W. Macdonald, Femke Broekhuis, Klaus Obermayer, Arno Onken, Matthias H. Munk, John Shawe‐Taylor, Alan M. Wilson, Stephen Hailes and Wendelin Böhmer. Their work appears in journals such as PLoS ONE, PLoS Computational Biology and Machine Learning.
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.