Markus Hauru
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
-
- Quantum many-body systems
- Quantum and electron transport phenomena
Papers in
-
- Quantum many-body systems 8
- Quantum and electron transport phenomena 3
-
- Quantum Computing Algorithms and Architecture 4
- Co-authors
- Guifré Vidal (6 shared papers)Clement Delcamp (1 shared paper)Sebastian Mizera (1 shared paper)Martin Ganahl (5 shared papers)Jutho Haegeman (2 shared papers)Maarten Van Damme (1 shared paper)Davide Gaiotto (1 shared paper)Glen Evenbly (1 shared paper)
- Journals
- Physical review. B. (3 papers)PRX Quantum (2 papers)Journal of Chemical Theory and Computation (1 paper)Physical review. A (1 paper)SciPost Physics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Markus Hauru
13 papers receiving 291 citations
Peers
Comparison fields: 5 of 40
- Computational Mathematics 40
- Atomic and Molecular Physics, and Optics 225
- Condensed Matter Physics 76
- Statistical and Nonlinear Physics 51
- Artificial Intelligence 114
Countries citing papers authored by Markus Hauru
This map shows the geographic impact of Markus Hauru'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 Markus Hauru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Hauru more than expected).
Fields of papers citing papers by Markus Hauru
This network shows the impact of papers produced by Markus Hauru. 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 Markus Hauru. The network helps show where Markus Hauru may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Hauru, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 64 | |
| 2 | 2022 | 57 | |
| 3 | 2016 | 48 | |
| 4 | 2021 | 39 | |
| 5 | 2023 | 21 | |
| 6 | 2022 | 20 | |
| 7 | 2022 | 18 | |
| 8 | 2018 | 10 | |
| 9 | 2023 | 7 | |
| 10 | 2025 | 6 | |
| 11 | 2020 | 3 | |
| 12 | Multiscale Entanglement Renormalisation Ansatz | 2013 | 3 |
| 13 | 2022 | 1 |
About Markus Hauru
Markus Hauru is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Condensed Matter Physics, Computational Mathematics and Nuclear and High Energy Physics, having authored 13 papers that have together received 297 indexed citations. Recurring topics across this work include Quantum many-body systems (8 papers), Quantum Computing Algorithms and Architecture (4 papers), Physics of Superconductivity and Magnetism (3 papers), Quantum and electron transport phenomena (3 papers), Black Holes and Theoretical Physics (2 papers), Theoretical and Computational Physics (2 papers), Tensor decomposition and applications (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Computational Mathematics (40 citations), Atomic and Molecular Physics, and Optics (225 citations), Condensed Matter Physics (76 citations), Statistical and Nonlinear Physics (51 citations) and Artificial Intelligence (114 citations). Markus Hauru has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Guifré Vidal, Clement Delcamp, Sebastian Mizera, Martin Ganahl, Jutho Haegeman, Maarten Van Damme, Davide Gaiotto, Glen Evenbly, Wen Wei Ho and Alexandre Blais. Their work appears in journals such as Physical review. B., PRX Quantum, Journal of Chemical Theory and Computation, Physical review. A and SciPost Physics.
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.