M. R. Hoffmann
Impact in
- Artificial Intelligence top 1%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
-
- Quantum many-body systems
- Topological Materials and Phenomena
- Quantum Mechanics and Applications
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum and electron transport phenomena
Papers in
-
- Quantum Information and Cryptography 6
- Quantum Computing Algorithms and Architecture 4
-
- Quantum many-body systems 8
- Strong Light-Matter Interactions 1
- Quantum and electron transport phenomena 1
- Topological Materials and Phenomena 1
- Journals
- Nature (6 papers)Science (4 papers)Nature Physics (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- United States
In The Last Decade
M. R. Hoffmann
11 papers receiving 1.5k citations
M. R. Hoffmann's Hit Papers
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 1.1k
- Atomic and Molecular Physics, and Optics 543
- Statistical and Nonlinear Physics 50
- Astronomy and Astrophysics 52
- Condensed Matter Physics 29
Countries citing papers authored by M. R. Hoffmann
This map shows the geographic impact of M. R. Hoffmann'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 M. R. Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. R. Hoffmann more than expected).
Fields of papers citing papers by M. R. Hoffmann
This network shows the impact of papers produced by M. R. Hoffmann. 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 M. R. Hoffmann. The network helps show where M. R. Hoffmann may publish in the future.
No co-authors to show.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Suppressing quantum errors by scaling a surface code logical qubit Hit paper breakdown → | 2023 | 798 |
| 2 | Measurement-induced entanglement and teleportation on a noisy quantum processor Hit paper breakdown → | 2023 | 136 |
| 3 | 2023 | 84 | |
| 4 | Stable quantum-correlated many-body states through engineered dissipation Hit paper breakdown → | 2024 | 77 |
| 5 | Dynamics of magnetization at infinite temperature in a Heisenberg spin chain Hit paper breakdown → | 2024 | 74 |
| 6 | Phase transitions in random circuit sampling Hit paper breakdown → | 2024 | 71 |
| 7 | 2022 | 68 | |
| 8 | 2022 | 65 | |
| 9 | 2023 | 64 | |
| 10 | Thermalization and criticality on an analogue–digital quantum simulator Hit paper breakdown → | 2025 | 43 |
| 11 | 2023 | 37 | |
| 12 | 2026 | 0 |
About M. R. Hoffmann
M. R. Hoffmann is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum many-body systems (8 papers), Quantum Information and Cryptography (6 papers), Quantum Computing Algorithms and Architecture (4 papers), Strong Light-Matter Interactions (1 paper), Quantum and electron transport phenomena (1 paper) and Topological Materials and Phenomena (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Atomic and Molecular Physics, and Optics (543 citations), Statistical and Nonlinear Physics (50 citations), Astronomy and Astrophysics (52 citations) and Condensed Matter Physics (29 citations). M. R. Hoffmann has collaborated with scholars based in United States. Their work appears in journals such as Nature, Science, Nature Physics and Applied Physics 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.