Halvard Sutterud
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
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- Advanced Chemical Physics Studies 2
- Quantum, superfluid, helium dynamics 2
- Spectroscopy and Quantum Chemical Studies 1
- Cold Atom Physics and Bose-Einstein Condensates 1
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- Machine Learning in Materials Science 3
- Co-authors
- Marianne Fyhn (1 shared paper)Svenn-Arne Dragly (1 shared paper)Torkel Hafting (1 shared paper)Mikkel Elle Lepperød (1 shared paper)Kristian Kinden Lensjø (1 shared paper)Jan Sigurd Blackstad (1 shared paper)James S. Spencer (3 shared papers)David Pfau (3 shared papers)
- Journals
- Nature Communications (1 paper)Physical Review X (1 paper)Science (1 paper)Nature Computational Science (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United KingdomAustriaGermany
In The Last Decade
Halvard Sutterud
4 papers receiving 223 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 47
- Developmental Neuroscience 10
- Neurology 17
- Cognitive Neuroscience 30
- Atomic and Molecular Physics, and Optics 50
Countries citing papers authored by Halvard Sutterud
This map shows the geographic impact of Halvard Sutterud'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 Halvard Sutterud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Halvard Sutterud more than expected).
Fields of papers citing papers by Halvard Sutterud
This network shows the impact of papers produced by Halvard Sutterud. 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 Halvard Sutterud. The network helps show where Halvard Sutterud may publish in the future.
Co-authors
The 14 scholars most cited alongside Halvard Sutterud, 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 | 2021 | 139 | |
| 2 | 2023 | 51 | |
| 3 | 2024 | 28 | |
| 4 | 2024 | 6 | |
| 5 | 2025 | 0 |
About Halvard Sutterud
Halvard Sutterud is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Condensed Matter Physics, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 5 papers that have together received 224 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), Advanced Chemical Physics Studies (2 papers), Quantum, superfluid, helium dynamics (2 papers), Photoreceptor and optogenetics research (1 paper), Proteoglycans and glycosaminoglycans research (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper), Cold Atom Physics and Bose-Einstein Condensates (1 paper) and Physics of Superconductivity and Magnetism (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (47 citations), Developmental Neuroscience (10 citations), Neurology (17 citations), Cognitive Neuroscience (30 citations) and Atomic and Molecular Physics, and Optics (50 citations). Halvard Sutterud has collaborated with scholars based in United Kingdom, Austria and Germany. Frequent co-authors include Marianne Fyhn, Svenn-Arne Dragly, Torkel Hafting, Mikkel Elle Lepperød, Kristian Kinden Lensjø, Jan Sigurd Blackstad, James S. Spencer, David Pfau, W. M. C. Foulkes and N. D. Drummond. Their work appears in journals such as Nature Communications, Physical Review X, Science, Nature Computational 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.