Marcus Hütter
Impact in
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- Computability, Logic, AI Algorithms
- Artificial Intelligence top 1%
- Evolutionary Algorithms and Applications
- Machine Learning and Algorithms
- Reinforcement Learning in Robotics
- Neural Networks and Applications
- Algorithms and Data Compression
Papers in
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- Reinforcement Learning in Robotics 26
- Machine Learning and Algorithms 25
- Evolutionary Algorithms and Applications 24
- Algorithms and Data Compression 16
- Bayesian Methods and Mixture Models 7
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- Computability, Logic, AI Algorithms 40
- semigroups and automata theory 9
- Co-authors
- Shane Legg (10 shared papers)Marco Zaffalon (4 shared papers)Jan Poland (6 shared papers)Stephen Jay Gould (2 shared papers)Peter Anderson (1 shared paper)Basura Fernando (1 shared paper)Tor Lattimore (6 shared papers)Ivo Kwee (3 shared papers)
- Journals
- Theoretical Computer Science (9 papers)Journal of Machine Learning Research (4 papers)Journal of Computer and System Sciences (2 papers)Computational Statistics & Data Analysis (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- AustraliaSwitzerlandUnited Kingdom
In The Last Decade
Marcus Hütter
112 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 159
- Computational Theory and Mathematics 545
- Artificial Intelligence 1.1k
- Health Informatics 24
- Management Science and Operations Research 169
- Safety Research 88
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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 311 | |
| 2 | 2005 | 210 | |
| 3 | 2007 | 194 | |
| 4 | 2016 | 72 | |
| 5 | 2003 | 68 | |
| 6 | 2002 | 62 | |
| 7 | 2004 | 45 | |
| 8 | 2011 | 43 | |
| 9 | 2007 | 37 | |
| 10 | 2009 | 36 | |
| 11 | 2006 | 33 | |
| 12 | 2002 | 32 | |
| 13 | 2005 | 28 | |
| 14 | 2009 | 25 | |
| 15 | 2007 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2009 | 19 | |
| 18 | 2001 | 19 | |
| 19 | 2005 | 17 | |
| 20 | 2007 | 17 |
About Marcus Hütter
Marcus Hütter is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 120 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (40 papers), Reinforcement Learning in Robotics (26 papers), Machine Learning and Algorithms (25 papers), Evolutionary Algorithms and Applications (24 papers), Algorithms and Data Compression (16 papers), Advanced Bandit Algorithms Research (13 papers), semigroups and automata theory (9 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Computational Theory and Mathematics (545 citations), Artificial Intelligence (1.1k citations), Health Informatics (24 citations), Management Science and Operations Research (169 citations) and Safety Research (88 citations). Marcus Hütter has collaborated with scholars based in Australia, Switzerland and United Kingdom. Frequent co-authors include Shane Legg, Marco Zaffalon, Jan Poland, Stephen Jay Gould, Peter Anderson, Basura Fernando, Tor Lattimore, Ivo Kwee, Daniil Ryabko and Francesco Bertoni. Their work appears in journals such as Theoretical Computer Science, Journal of Machine Learning Research, Journal of Computer and System Sciences, Computational Statistics & Data Analysis and BMC Bioinformatics.
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.