D. Duncan
Impact in
- Astronomy and Astrophysics top 10%
- Solar and Space Plasma Dynamics
- Stellar, planetary, and galactic studies
- Astro and Planetary Science
- Ionosphere and magnetosphere dynamics
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- Solar Radiation and Photovoltaics
- Neural Networks and Reservoir Computing
Papers in
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- Solar and Space Plasma Dynamics 3
- Astro and Planetary Science 2
- Stellar, planetary, and galactic studies 2
-
- Neural Networks and Reservoir Computing 1
- Solar Radiation and Photovoltaics 1
- Co-authors
- T. Cruz (1 shared paper)Masahito Kubo (1 shared paper)S. Tsuneta (1 shared paper)Toshifumi Shimizu (1 shared paper)K. V. Streander (1 shared paper)N. Katz (1 shared paper)Kiyoshi Ichimoto (1 shared paper)G. Card (1 shared paper)
- Journals
- Solar Physics (1 paper)International Communications in Heat and Mass Transfer (1 paper)Chaos An Interdisciplinary Journal of Nonlinear Science (1 paper)ePubs (Science and Technology Facilities Council, Research Councils UK) (1 paper)NASA Technical Reports Server (NASA) (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
D. Duncan
5 papers receiving 122 citations
Peers
Comparison fields: 5 of 23
- Astronomy and Astrophysics 115
- Artificial Intelligence 34
- Molecular Biology 28
- Instrumentation 1
- Statistical and Nonlinear Physics 2
Countries citing papers authored by D. Duncan
This map shows the geographic impact of D. Duncan'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 D. Duncan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Duncan more than expected).
Fields of papers citing papers by D. Duncan
This network shows the impact of papers produced by D. Duncan. 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 D. Duncan. The network helps show where D. Duncan may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Duncan, 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 | 2013 | 117 | |
| 2 | 2023 | 10 | |
| 3 | 1997 | 1 | |
| 4 | 2017 | 1 | |
| 5 | First results on quiet and magnetic granulation from SOUP | 1987 | 1 |
About D. Duncan
D. Duncan is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Statistical and Nonlinear Physics, Mechanical Engineering and Water Science and Technology, having authored 5 papers that have together received 130 indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (3 papers), Astro and Planetary Science (2 papers), Stellar, planetary, and galactic studies (2 papers), Minerals Flotation and Separation Techniques (1 paper), Neural Networks and Reservoir Computing (1 paper), Solar Radiation and Photovoltaics (1 paper), Model Reduction and Neural Networks (1 paper) and Non-Destructive Testing Techniques (1 paper). The work is most often cited by research in Astronomy and Astrophysics (115 citations), Artificial Intelligence (34 citations), Molecular Biology (28 citations), Instrumentation (1 citation) and Statistical and Nonlinear Physics (2 citations). D. Duncan has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include T. Cruz, Masahito Kubo, S. Tsuneta, Toshifumi Shimizu, K. V. Streander, N. Katz, Kiyoshi Ichimoto, G. Card, Yukio Katsukawa and David L. Akin. Their work appears in journals such as Solar Physics, International Communications in Heat and Mass Transfer, Chaos An Interdisciplinary Journal of Nonlinear Science, ePubs (Science and Technology Facilities Council, Research Councils UK) and NASA Technical Reports Server (NASA).
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.