Mikko Möttönen
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- Quantum and electron transport phenomena 70
- Cold Atom Physics and Bose-Einstein Condensates 46
- Quantum, superfluid, helium dynamics 28
- Strong Light-Matter Interactions 28
- Condensed Matter Physics top 2%
- Physics of Superconductivity and Magnetism 35
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- Advanced Thermodynamics and Statistical Mechanics 16
- Artificial Intelligence top 0.5%
- Quantum Information and Cryptography 61
- Quantum Computing Algorithms and Architecture 24
Mikko Möttönen
176 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Atomic and Molecular Physics, and Optics 3.9k
- Condensed Matter Physics 845
- Statistical and Nonlinear Physics 781
- Artificial Intelligence 1.8k
- Computational Theory and Mathematics 277
Countries citing papers authored by Mikko Möttönen
This map shows the geographic impact of Mikko Möttönen'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 Mikko Möttönen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikko Möttönen more than expected).
Fields of papers citing papers by Mikko Möttönen
This network shows the impact of papers produced by Mikko Möttönen. 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 Mikko Möttönen. The network helps show where Mikko Möttönen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mikko Möttönen, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 8 | |
| 8 | Charge dynamics in quantum-circuit refrigeration:thermalization and microwave gain | 2021 | 7 |
| 9 | 2020 | 24 | |
| 10 | Fast control of dissipation in a superconducting resonator | 2019 | 21 |
| 11 | Calibration of cryogenic amplification chains using normal-metal–insulator–superconductor junctions | 2019 | 12 |
| 12 | 2019 | 27 | |
| 13 | Evidence for robustness and universality of tunable-barrier electron pumps | 2019 | 1 |
| 14 | Flux-tunable heat sink for quantum electric circuits | 2018 | 22 |
| 15 | 2018 | 15 | |
| 16 | 2017 | 28 | |
| 17 | 2015 | 3 | |
| 18 | 2015 | 6 | |
| 19 | 2015 | 11 | |
| 20 | Glycosaminoglycans in normal and atherosclerotic human coronary arteries. | 1986 | 80 |
About Mikko Möttönen
Mikko Möttönen is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence, having authored 187 papers that have together received 5.3k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (70 papers), Quantum Information and Cryptography (61 papers), Cold Atom Physics and Bose-Einstein Condensates (46 papers), Physics of Superconductivity and Magnetism (35 papers), Quantum, superfluid, helium dynamics (28 papers), Strong Light-Matter Interactions (28 papers), Quantum Computing Algorithms and Architecture (24 papers) and Advanced Thermodynamics and Statistical Mechanics (16 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (3.9k citations), Condensed Matter Physics (845 citations) and Statistical and Nonlinear Physics (781 citations). Mikko Möttönen has collaborated with scholars based in Finland, United States and Australia. Frequent co-authors include Juha J. Vartiainen, J. P. Pekola, Martti M. Salomaa, O.-P. Saira, Ville Bergholm, Kuan Yen Tan, Ville Pietilä, D. V. Averin, D. S. Hall and Jukka Huhtamäki. Their work appears in journals such as Nature, Science 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.