Charles Blundell
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Demis HassabisDaan WierstraJulien CornebiseKoray KavukcuogluJane X. WangZeb Kurth‐NelsonMatthew BotvinickKatherine Heller
- Topics
- Reinforcement Learning in Robotics (8 papers)Neural dynamics and brain function (3 papers)Bayesian Methods and Mixture Models (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Charles Blundell
23 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 775
- Cognitive Neuroscience 271
- Computer Vision and Pattern Recognition 269
- Electrical and Electronic Engineering 156
- Control and Systems Engineering 112
Countries citing papers authored by Charles Blundell
This map shows the geographic impact of Charles Blundell'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 Charles Blundell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Blundell more than expected).
Fields of papers citing papers by Charles Blundell
This network shows the impact of papers produced by Charles Blundell. 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 Charles Blundell. The network helps show where Charles Blundell may publish in the future.
Co-authorship network of co-authors of Charles Blundell
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Blundell. A scholar is included among the top collaborators of Charles Blundell 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 Charles Blundell. Charles Blundell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning | 1 |
| 3 | Advancing mathematics by guiding human intuition with AIbreakdown → | 243 |
| 4 | 2 | |
| 5 | Agent57: Outperforming the Atari Human Benchmark | 71 |
| 6 | Reinforcement Learning, Fast and Slowbreakdown → | 369 |
| 7 | 52 | |
| 8 | 8 | |
| 9 | Noisy Networks For Exploration | 115 |
| 10 | Revisiting Bayes by Backprop | 1 |
| 11 | Shaping representations through communication | 1 |
| 12 | 7 | |
| 13 | 29 | |
| 14 | 97 | |
| 15 | Weight Uncertainty in Neural Networkbreakdown → | 363 |
| 16 | The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. | 20 |
| 17 | Bayesian Hierarchical Community Discovery | 8 |
| 18 | Look-Ahead Monte Carlo with People | 1 |
| 19 | Modelling Reciprocating Relationships with Hawkes Processes | 75 |
| 20 | 36 |
About Charles Blundell
Charles Blundell is a scholar working on General Decision Sciences, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (8 papers), Neural dynamics and brain function (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Artificial Intelligence (775 citations), General Decision Sciences (31 citations) and Cognitive Neuroscience (271 citations). Charles Blundell has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Demis Hassabis, Daan Wierstra, Julien Cornebise, Koray Kavukcuoglu, Jane X. Wang, Zeb Kurth‐Nelson, Matthew Botvinick, Katherine Heller, Jeffrey Beck and Dharshan Kumaran. Their work appears in journals such as Nature, Neuron and Trends in Cognitive Sciences.
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.