M. Hjorth‐Jensen
- Nuclear and High Energy Physics top 0.1%
- Nuclear physics research studies 135
- Quantum Chromodynamics and Particle Interactions 71
- Astronomical and nuclear sciences 25
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- Atomic and Molecular Physics 43
- Advanced Chemical Physics Studies 33
- Quantum, superfluid, helium dynamics 24
- Radiation top 0.5%
- Nuclear Physics and Applications 18
- Astronomy and Astrophysics top 2%
- Pulsars and Gravitational Waves Research 22
- Spectroscopy top 0.5%
- Journals
- Physical Review Letters (17 papers)Nature Communications (1 paper)The Journal of Chemical Physics (1 paper)
- Partner nations
- NorwayUnited StatesItaly
In The Last Decade
M. Hjorth‐Jensen
164 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Nuclear and High Energy Physics 5.7k
- Atomic and Molecular Physics, and Optics 3.3k
- Radiation 738
- Astronomy and Astrophysics 1.1k
- Spectroscopy 987
Countries citing papers authored by M. Hjorth‐Jensen
This map shows the geographic impact of M. Hjorth‐Jensen'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. Hjorth‐Jensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Hjorth‐Jensen more than expected).
Fields of papers citing papers by M. Hjorth‐Jensen
This network shows the impact of papers produced by M. Hjorth‐Jensen. 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. Hjorth‐Jensen. The network helps show where M. Hjorth‐Jensen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Hjorth‐Jensen, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 18 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 10 | |
| 7 | Colloquium: Machine learning in nuclear physicsbreakdown → | 2022 | 140 |
| 8 | 2021 | 17 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 17 | |
| 11 | 66,68 Feの低エネルギー準位スキームとZ=28及びN=40にわたる陽子励起と中性子励起の推定 | 2013 | 1 |
| 12 | 2012 | 175 | |
| 13 | 2012 | 0 | |
| 14 | 2010 | 50 | |
| 15 | CENS: A computational environment for nuclear structure | 2008 | 7 |
| 16 | Computers in Science education, a new way to teach physics and mathematics? | 2008 | 0 |
| 17 | 2005 | 84 | |
| 18 | 2003 | 22 | |
| 19 | Hyperon effects on the properties of β-stable neutron star matter | 2000 | 3 |
| 20 | 1997 | 33 |
About M. Hjorth‐Jensen
M. Hjorth‐Jensen is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Radiation, having authored 169 papers that have together received 6.8k indexed citations. Recurring topics across this work include Nuclear physics research studies (135 papers), Quantum Chromodynamics and Particle Interactions (71 papers), Atomic and Molecular Physics (43 papers), Advanced Chemical Physics Studies (33 papers), Astronomical and nuclear sciences (25 papers), Quantum, superfluid, helium dynamics (24 papers), Pulsars and Gravitational Waves Research (22 papers) and Nuclear Physics and Applications (18 papers). The work is most often cited by research in Nuclear and High Energy Physics (5.7k citations), Atomic and Molecular Physics, and Optics (3.3k citations) and Radiation (738 citations). M. Hjorth‐Jensen has collaborated with scholars based in Norway, United States and Italy. Frequent co-authors include D. J. Dean, G. Hagen, E. Osnes, T. Papenbrock, T.T.S. Kuo, L. Engvik, G. R. Jansen, R. Machleidt, A. Ekström and W. Nazarewicz. Their work appears in journals such as Physical Review Letters, Nature Communications and The Journal of Chemical 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.