S. A. Brown
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism 14
- Theoretical and Computational Physics 14
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- Surface and Thin Film Phenomena 23
- Materials Chemistry top 5%
- Graphene research and applications 14
- Atmospheric Science top 5%
- nanoparticles nucleation surface interactions 31
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- Advanced Memory and Neural Computing 26
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- Neural dynamics and brain function 17
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- Neural Networks and Reservoir Computing 14
- Co-authors
- Shaun C. HendyJoshua B. MallinsonDavid N. McCarthyPaweł J. KowalczykSaurabh K. BoseShawn FostnerJ. G. PartridgeA. Lassesson
- Journals
- Physical Review B (10 papers)Nanotechnology (9 papers)The European Physical Journal D (7 papers)
- Partner nations
- New ZealandUnited StatesAustralia
In The Last Decade
S. A. Brown
134 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 116
- Condensed Matter Physics 419
- Atomic and Molecular Physics, and Optics 757
- Materials Chemistry 1.1k
- Atmospheric Science 365
- Electrical and Electronic Engineering 1.1k
Countries citing papers authored by S. A. Brown
This map shows the geographic impact of S. A. Brown'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 S. A. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. A. Brown more than expected).
Fields of papers citing papers by S. A. Brown
This network shows the impact of papers produced by S. A. Brown. 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 S. A. Brown. The network helps show where S. A. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. A. Brown, 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 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 17 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 29 | |
| 14 | 2022 | 12 | |
| 15 | 2022 | 20 | |
| 16 | 2022 | 24 | |
| 17 | 2020 | 44 | |
| 18 | 2020 | 4 | |
| 19 | 2019 | 16 | |
| 20 | 2011 | 2 |
About S. A. Brown
S. A. Brown is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Atmospheric Science, Materials Chemistry and Electrical and Electronic Engineering, having authored 139 papers that have together received 2.6k indexed citations. Recurring topics across this work include nanoparticles nucleation surface interactions (31 papers), Advanced Memory and Neural Computing (26 papers), Surface and Thin Film Phenomena (23 papers), Neural dynamics and brain function (17 papers), Neural Networks and Reservoir Computing (14 papers), Physics of Superconductivity and Magnetism (14 papers), Theoretical and Computational Physics (14 papers) and Graphene research and applications (14 papers). The work is most often cited by research in Condensed Matter Physics (419 citations), Atomic and Molecular Physics, and Optics (757 citations), Materials Chemistry (1.1k citations), Atmospheric Science (365 citations) and Electrical and Electronic Engineering (1.1k citations). S. A. Brown has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Shaun C. Hendy, Joshua B. Mallinson, David N. McCarthy, Paweł J. Kowalczyk, Saurabh K. Bose, Shawn Fostner, J. G. Partridge, A. Lassesson, Milo V. Kral and Ojas Mahapatra. Their work appears in journals such as Physical Review B, Nanotechnology, The European Physical Journal D, Applied Physics Letters and Surface Science.
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.