Marcus Hütter
Impact in
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics
- Psychiatry, Mental Health, Neuroscience
- Anomaly Detection Techniques and Applications
- Artificial Intelligence Applications
- Metaheuristic Optimization Algorithms Research
- AI-based Problem Solving and Planning
- Computational Theory and Mathematics top 0.5%
- Computability, Logic, AI Algorithms
Papers in
-
- Computability, Logic, AI Algorithms 74
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- Reinforcement Learning in Robotics 54
- Psychiatry, Mental Health, Neuroscience 14
- Bayesian Modeling and Causal Inference 13
- Machine Learning and Algorithms 11
- Metaheuristic Optimization Algorithms Research 8
- Co-authors
- Shane Legg (7 shared papers)Huidong Jin (1 shared paper)Tom Everitt (14 shared papers)Tor Lattimore (16 shared papers)Peter Sunehag (22 shared papers)Jan Poland (6 shared papers)Joel Veness (10 shared papers)Marco Zaffalon A (5 shared papers)
- Journals
- Theoretical Computer Science (9 papers)Lecture notes in computer science (55 papers)IEEE Transactions on Information Theory (3 papers)Journal of Machine Learning Research (3 papers)Physica D Nonlinear Phenomena (3 papers)
- Partner nations
- AustraliaSwitzerlandUnited Kingdom
In The Last Decade
Marcus Hütter
177 papers receiving 2.9k citations
Marcus Hütter's Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 1.8k
- Computational Theory and Mathematics 723
- Safety Research 202
- Management Science and Operations Research 187
- General Decision Sciences 26
Countries citing papers authored by Marcus Hütter
This map shows the geographic impact of Marcus Hütter'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 Marcus Hütter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Hütter more than expected).
Fields of papers citing papers by Marcus Hütter
This network shows the impact of papers produced by Marcus Hütter. 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 Marcus Hütter. The network helps show where Marcus Hütter may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcus Hütter, 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 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Universal Intelligence: A Definition of Machine Intelligence Hit paper breakdown → | 2007 | 453 |
| 2 | 2005 | 354 | |
| 3 | 2009 | 301 | |
| 4 | 2011 | 107 | |
| 5 | 2003 | 83 | |
| 6 | 2016 | 80 | |
| 7 | 2018 | 66 | |
| 8 | 2011 | 61 | |
| 9 | 2006 | 57 | |
| 10 | 2007 | 57 | |
| 11 | 2009 | 48 | |
| 12 | 2007 | 47 | |
| 13 | 2017 | 47 | |
| 14 | 2004 | 46 | |
| 15 | 2002 | 44 | |
| 16 | 2002 | 44 | |
| 17 | 2009 | 42 | |
| 18 | 2012 | 40 | |
| 19 | 2021 | 35 | |
| 20 | 2001 | 31 |
About Marcus Hütter
Marcus Hütter is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Safety Research and Statistics and Probability, having authored 190 papers that have together received 3.2k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (74 papers), Reinforcement Learning in Robotics (54 papers), Psychiatry, Mental Health, Neuroscience (14 papers), Bayesian Modeling and Causal Inference (13 papers), Advanced Bandit Algorithms Research (11 papers), Machine Learning and Algorithms (11 papers), Ethics and Social Impacts of AI (8 papers) and Metaheuristic Optimization Algorithms Research (8 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Computational Theory and Mathematics (723 citations), Safety Research (202 citations), Management Science and Operations Research (187 citations) and General Decision Sciences (26 citations). Marcus Hütter has collaborated with scholars based in Australia, Switzerland and United Kingdom. Frequent co-authors include Shane Legg, Huidong Jin, Tom Everitt, Tor Lattimore, Peter Sunehag, Jan Poland, Joel Veness, Marco Zaffalon A, David Silver and Basura Fernando. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science, IEEE Transactions on Information Theory, Journal of Machine Learning Research and Physica D Nonlinear Phenomena.
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.