Lars Buesing
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Neural Networks and Reservoir Computing
Papers in
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- Neural dynamics and brain function 18
- Functional Brain Connectivity Studies 4
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- Reinforcement Learning in Robotics 7
- Neural Networks and Applications 6
- Artificial Intelligence in Games 3
- Neural Networks and Reservoir Computing 3
- Co-authors
- Wolfgang Maass (6 shared papers)Bernhard Nessler (3 shared papers)Johannes Bill (2 shared papers)Jakob H. Macke (6 shared papers)Michael Pfeiffer (1 shared paper)Maneesh Sahani (6 shared papers)Dejan Pecevski (1 shared paper)Peter Battaglia (3 shared papers)
- Journals
- PLoS Computational Biology (3 papers)PLoS ONE (2 papers)Neural Computation (2 papers)BMC Neuroscience (1 paper)Network Computation in Neural Systems (1 paper)
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Lars Buesing
29 papers receiving 1.2k citations
Lars Buesing's Hit Papers
Peers
Comparison fields: 5 of 124
- Cognitive Neuroscience 695
- Artificial Intelligence 514
- Cellular and Molecular Neuroscience 238
- General Decision Sciences 21
- Statistical and Nonlinear Physics 141
Countries citing papers authored by Lars Buesing
This map shows the geographic impact of Lars Buesing'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 Lars Buesing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Buesing more than expected).
Fields of papers citing papers by Lars Buesing
This network shows the impact of papers produced by Lars Buesing. 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 Lars Buesing. The network helps show where Lars Buesing may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Buesing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advancing mathematics by guiding human intuition with AI Hit paper breakdown → | 2021 | 272 |
| 2 | 2011 | 242 | |
| 3 | 2013 | 196 | |
| 4 | Empirical models of spiking in neural populations | 2011 | 94 |
| 5 | 2011 | 76 | |
| 6 | Imagination-Augmented Agents for Deep Reinforcement Learning | 2017 | 52 |
| 7 | 2007 | 51 | |
| 8 | 2012 | 38 | |
| 9 | On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing | 2008 | 36 |
| 10 | 2015 | 27 | |
| 11 | Spectral learning of linear dynamics from generalised-linear observations with application to neural population data | 2012 | 26 |
| 12 | 2021 | 19 | |
| 13 | 2010 | 19 | |
| 14 | Inferring neural population dynamics from multiple partial recordings of the same neural circuit | 2013 | 16 |
| 15 | On the role of planning in model-based deep reinforcement learning | 2021 | 12 |
| 16 | Clustered factor analysis of multineuronal spike data | 2014 | 12 |
| 17 | High-dimensional neural spike train analysis with generalized count linear dynamical systems | 2015 | 11 |
| 18 | 2011 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2009 | 9 |
About Lars Buesing
Lars Buesing is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (18 papers), Advanced Memory and Neural Computing (10 papers), Reinforcement Learning in Robotics (7 papers), Neural Networks and Applications (6 papers), Neuroscience and Neural Engineering (4 papers), Functional Brain Connectivity Studies (4 papers), Artificial Intelligence in Games (3 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Cognitive Neuroscience (695 citations), Artificial Intelligence (514 citations), Cellular and Molecular Neuroscience (238 citations), General Decision Sciences (21 citations) and Statistical and Nonlinear Physics (141 citations). Lars Buesing has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Wolfgang Maass, Bernhard Nessler, Johannes Bill, Jakob H. Macke, Michael Pfeiffer, Maneesh Sahani, Dejan Pecevski, Peter Battaglia, Demis Hassabis and Pushmeet Kohli. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, Neural Computation, BMC Neuroscience and Network Computation in Neural Systems.
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.