Marcus Hütter
Impact in
- Computational Theory and Mathematics top 0.5%
- Computability, Logic, AI Algorithms
- Artificial Intelligence top 0.5%
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
- Machine Learning and Algorithms
- Anomaly Detection Techniques and Applications
- Algorithms and Data Compression
- Logic, Reasoning, and Knowledge
Papers in
-
- Computability, Logic, AI Algorithms 75
- semigroups and automata theory 16
-
- Machine Learning and Algorithms 44
- Reinforcement Learning in Robotics 43
- Evolutionary Algorithms and Applications 33
- Algorithms and Data Compression 23
- Co-authors
- Shane Legg (7 shared papers)Huidong Jin (1 shared paper)Ke Zhang (1 shared paper)Tor Lattimore (18 shared papers)Tom Everitt (14 shared papers)Peter Sunehag (23 shared papers)Jan Poland (6 shared papers)Marco Zaffalon (5 shared papers)
- Journals
- Theoretical Computer Science (9 papers)Lecture notes in computer science (54 papers)Journal of Machine Learning Research (3 papers)IEEE Transactions on Information Theory (3 papers)Journal of Computer and System Sciences (2 papers)
- Partner nations
- AustraliaSwitzerlandUnited Kingdom
In The Last Decade
Marcus Hütter
175 papers receiving 2.6k citations
Marcus Hütter's Hit Papers
Peers
Comparison fields: 5 of 153
- Computational Theory and Mathematics 1.1k
- Artificial Intelligence 2.0k
- Statistics and Probability 198
- Management Science and Operations Research 289
- Safety Research 105
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 185 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 | 441 |
| 2 | 2005 | 350 | |
| 3 | 2009 | 294 | |
| 4 | 2003 | 79 | |
| 5 | 2016 | 79 | |
| 6 | 2007 | 56 | |
| 7 | 2011 | 56 | |
| 8 | 2007 | 50 | |
| 9 | 2009 | 48 | |
| 10 | 2002 | 45 | |
| 11 | 2004 | 45 | |
| 12 | 2002 | 44 | |
| 13 | 2009 | 41 | |
| 14 | 2012 | 41 | |
| 15 | 2001 | 32 | |
| 16 | 2002 | 28 | |
| 17 | 2007 | 26 | |
| 18 | 2009 | 25 | |
| 19 | 2007 | 23 | |
| 20 | 2018 | 22 |
About Marcus Hütter
Marcus Hütter is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 185 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (75 papers), Machine Learning and Algorithms (44 papers), Reinforcement Learning in Robotics (43 papers), Evolutionary Algorithms and Applications (33 papers), Advanced Bandit Algorithms Research (23 papers), Algorithms and Data Compression (23 papers), semigroups and automata theory (16 papers) and Benford’s Law and Fraud Detection (12 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Artificial Intelligence (2.0k citations), Statistics and Probability (198 citations), Management Science and Operations Research (289 citations) and Safety Research (105 citations). Marcus Hütter has collaborated with scholars based in Australia, Switzerland and United Kingdom. Frequent co-authors include Shane Legg, Huidong Jin, Ke Zhang, Tor Lattimore, Tom Everitt, Peter Sunehag, Jan Poland, Marco Zaffalon, Basura Fernando and Peter Anderson. Their work appears in journals such as Theoretical Computer Science, Lecture notes in computer science, Journal of Machine Learning Research, IEEE Transactions on Information Theory and Journal of Computer and System 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.