Andrew Nonaka
- Computational Mechanics top 2%
- Astronomy and Astrophysics top 5%
- Nuclear and High Energy Physics top 10%
- Aerospace Engineering top 10%
- Applied Mathematics top 5%
- Topics
- Gamma-ray bursts and supernovae (14 papers)Computational Fluid Dynamics and Aerodynamics (14 papers)Fluid Dynamics and Turbulent Flows (7 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Andrew Nonaka
44 papers receiving 993 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Computational Mechanics 378
- Astronomy and Astrophysics 372
- Nuclear and High Energy Physics 142
- Aerospace Engineering 128
- Applied Mathematics 79
Countries citing papers authored by Andrew Nonaka
This map shows the geographic impact of Andrew Nonaka'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 Andrew Nonaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Nonaka more than expected).
Fields of papers citing papers by Andrew Nonaka
This network shows the impact of papers produced by Andrew Nonaka. 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 Andrew Nonaka. The network helps show where Andrew Nonaka may publish in the future.
Co-authorship network of co-authors of Andrew Nonaka
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Nonaka. A scholar is included among the top collaborators of Andrew Nonaka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Nonaka. Andrew Nonaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 30 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | The AMReX block structured adaptive mesh refinement library: Astrophysical Applications | 1 |
| 17 | AMReX: a framework for block-structured adaptive mesh refinementbreakdown → | 287 |
| 18 | 11 | |
| 19 | Low Mach Number Fluctuating Hydrodynamics of Diffusively Mixing Fluids | 2 |
| 20 | A Numerical Algorithm for Complex Biological Flow in Irregular Microdevice Geometries | 5 |
About Andrew Nonaka
Andrew Nonaka is a scholar working on Astronomy and Astrophysics, Computational Mechanics and Applied Mathematics, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (14 papers), Computational Fluid Dynamics and Aerodynamics (14 papers) and Fluid Dynamics and Turbulent Flows (7 papers). The work is most often cited by research in Astronomy and Astrophysics (372 citations), Computational Mechanics (378 citations) and Fluid Flow and Transfer Processes (70 citations). Andrew Nonaka has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include John B. Bell, Ann Almgren, M. Zingale, Marc Day, Chris Malone, M. J. Lijewski, S. E. Woosley, Max Katz, Weiqun Zhang and Daniel Graves. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and Journal of Neuroscience.
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.