Adrian Hutter

1.2k citations
17 papers · 252 · h-index 11

Impact in

Papers in

Adrian Hutter

17 papers receiving 252 citations

Peers

Adrian Hutter
Comparison fields: 5 of 26
  • Atomic and Molecular Physics, and Optics 196
  • Artificial Intelligence 172
  • Computational Theory and Mathematics 39
  • Condensed Matter Physics 26
  • Statistical and Nonlinear Physics 25
Replace Sam Roberts with:
Sam Roberts Australia
Gianluca Passarelli Italy
Chris N. Self United Kingdom
Johannes Bausch United Kingdom
Markus S. Kesselring Germany
Yarui Zheng China
Waldemar Kłobus Poland
Daniel Lobser United States
Ruben S. Andrist United States
Nathan Earnest United States
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Citations per field
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Citations per year

Countries citing papers authored by Adrian Hutter

Since Specialization
Citations

This map shows the geographic impact of Adrian Hutter'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 Adrian Hutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Hutter more than expected).

Fields of papers citing papers by Adrian Hutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian Hutter. 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 Adrian Hutter. The network helps show where Adrian Hutter may publish in the future.

Co-authors

The 10 scholars most cited alongside Adrian Hutter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Adrian Hutter Line = papers co-authored together Adrian Hutter links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201449
2 201642
3 201324
4 201618
5 201217
6 201215
7 201415
8 201315
9 201514
10 201610
11 201410
12 20167
13 20137
14
Künstliche Intelligenz: Chancen und Risiken
20153
15
Understanding Equipartition and Thermalization from Decoupling
20113
16
Local 3D spin Hamiltonian as a thermally stable surface code
20122
17
When does a quantum mechanical system depend on the initial conditions of the system or the environment
20111

About Adrian Hutter

Adrian Hutter is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Condensed Matter Physics and Management of Technology and Innovation, having authored 17 papers that have together received 252 indexed citations. Recurring topics across this work include Quantum many-body systems (9 papers), Quantum Computing Algorithms and Architecture (8 papers), Quantum and electron transport phenomena (7 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Quantum Information and Cryptography (5 papers), Topological Materials and Phenomena (3 papers), Statistical Mechanics and Entropy (2 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (196 citations), Artificial Intelligence (172 citations), Computational Theory and Mathematics (39 citations), Condensed Matter Physics (26 citations) and Statistical and Nonlinear Physics (25 citations). Adrian Hutter has collaborated with scholars based in Switzerland, Singapore and Netherlands. Frequent co-authors include Daniel Loss, James R. Wootton, Stephanie Wehner, Fabio L. Pedrocchi, Lídia del Rio, Renato Renner, Daniel G. Becker, Tetsufumi Tanamoto, David Althaus and Thomas Metzinger. Their work appears in journals such as Physical Review A, Physical review. A, Physical review. B., Physical Review X and Physical Review Letters.

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.

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