Alexander Pritzel
Impact in
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning
- Traffic control and management
Papers in
-
- Model Reduction and Neural Networks 3
- Noncommutative and Quantum Gravity Theories 2
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- Black Holes and Theoretical Physics 3
- Co-authors
- Daan WierstraJonathan J. HuntNicolas HeessYuval TassaDavid SilverTom ErezTimothy LillicrapDemis Hassabis
- Journals
- Science (2 papers)Physical review. A (1 paper)Zenodo (CERN European Organization for Nuclear Research) (2 papers)arXiv (Cornell University) (4 papers)Proceedings of the Genetic and Evolutionary Computation Conference Companion (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Alexander Pritzel
15 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Artificial Intelligence 2.3k
- Control and Systems Engineering 1.4k
- Automotive Engineering 648
- Computer Networks and Communications 1.0k
- Computer Vision and Pattern Recognition 838
Countries citing papers authored by Alexander Pritzel
This map shows the geographic impact of Alexander Pritzel'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 Alexander Pritzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Pritzel more than expected).
Fields of papers citing papers by Alexander Pritzel
This network shows the impact of papers produced by Alexander Pritzel. 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 Alexander Pritzel. The network helps show where Alexander Pritzel may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Pritzel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Learning skillful medium-range global weather forecasting Hit paper breakdown → | 2023 | 535 |
| 2 | 2023 | 3 | |
| 3 | Accurate proteome-wide missense variant effect prediction with AlphaMissense Hit paper breakdown → | 2023 | 692 |
| 4 | 2023 | 1 | |
| 5 | 2020 | 27 | |
| 6 | 2018 | 9 | |
| 7 | 2018 | 11 | |
| 8 | 2018 | 7 | |
| 9 | 2017 | 29 | |
| 10 | Continuous control with deep reinforcement learning Hit paper breakdown → | 2016 | 4888 |
| 11 | 2016 | 8 | |
| 12 | 2014 | 21 | |
| 13 | 2013 | 59 | |
| 14 | 2013 | 32 | |
| 15 | 2011 | 1 |
About Alexander Pritzel
Alexander Pritzel is a scholar working on Statistical and Nonlinear Physics, Nuclear and High Energy Physics, Artificial Intelligence, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 6.3k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (4 papers), Model Reduction and Neural Networks (3 papers), Black Holes and Theoretical Physics (3 papers), Neural Networks and Applications (2 papers), Cosmology and Gravitation Theories (2 papers), Noncommutative and Quantum Gravity Theories (2 papers), Neural Networks and Reservoir Computing (2 papers) and Physics of Superconductivity and Magnetism (1 paper). The work is most often cited by research in Artificial Intelligence (2.3k citations), Control and Systems Engineering (1.4k citations), Automotive Engineering (648 citations), Computer Networks and Communications (1.0k citations) and Computer Vision and Pattern Recognition (838 citations). Alexander Pritzel has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Daan Wierstra, Jonathan J. Hunt, Nicolas Heess, Yuval Tassa, David Silver, Tom Erez, Timothy Lillicrap, Demis Hassabis, Tobias Sargeant and John Jumper. Their work appears in journals such as Science, Physical review. A, Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University) and Proceedings of the Genetic and Evolutionary Computation Conference Companion.
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.