Andrew Nonaka

1.7k total citations · 1 hit paper
49 papers, 1.0k citations indexed

About

Andrew Nonaka is a scholar working on Astronomy and Astrophysics, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Andrew Nonaka has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Astronomy and Astrophysics, 18 papers in Computational Mechanics and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Andrew Nonaka's work include Gamma-ray bursts and supernovae (14 papers), Computational Fluid Dynamics and Aerodynamics (14 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Andrew Nonaka is often cited by papers focused on Gamma-ray bursts and supernovae (14 papers), Computational Fluid Dynamics and Aerodynamics (14 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Andrew Nonaka collaborates with scholars based in United States, United Kingdom and India. Andrew Nonaka's 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 and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and Journal of Neuroscience.

In The Last Decade

Andrew Nonaka

44 papers receiving 993 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AMReX: a framework for block-structured adaptive mesh refinement

2019 287 citations Weiqun Zhang, Ann Almgren et al. The Journal of Open Source Software profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andrew Nonaka United States	17	378	372	142	128	79	49	1.0k
Andreas Dedner United Kingdom	14	913 2.4×	527 1.4×	184 1.3×	43 0.3×	172 2.2×	39	1.8k
Е. А. Новиков United States	19	588 1.6×	147 0.4×	69 0.5×	44 0.3×	50 0.6×	81	1.1k
Akira Kageyama Japan	20	158 0.4×	668 1.8×	88 0.6×	36 0.3×	7 0.1×	65	1.3k
Takahiro Miyoshi Japan	14	206 0.5×	565 1.5×	171 1.2×	23 0.2×	105 1.3×	71	1.0k
Andreas Klöckner United States	9	240 0.6×	26 0.1×	40 0.3×	56 0.4×	31 0.4×	20	914
Jonathan D. Evans United Kingdom	17	273 0.7×	36 0.1×	27 0.2×	65 0.5×	67 0.8×	64	874
Michael McCourt United States	18	210 0.6×	1.2k 3.3×	317 2.2×	27 0.2×	12 0.2×	42	1.8k
В. В. Козлов Russia	18	816 2.2×	97 0.3×	23 0.2×	524 4.1×	75 0.9×	156	1.5k
François Gay–Balmaz France	17	325 0.9×	93 0.3×	49 0.3×	15 0.1×	151 1.9×	94	995
Christopher Martin United States	19	90 0.2×	331 0.9×	69 0.5×	152 1.2×	13 0.2×	83	983

Countries citing papers authored by Andrew Nonaka

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bell, John B., Andrew Nonaka, & Alejandro L. Garcia. (2025). Spherical and sessile droplet dynamics by fluctuating hydrodynamics. Physics of Fluids. 37(1).

Kim, Changho, François Blanchette, Ishan Srivastava, et al.. (2025). Thermodynamic consistency and fluctuations in mesoscopic stochastic simulations of reactive gas mixtures. The Journal of Chemical Physics. 162(15).

Chen, Ruiyang, Minhan Lou, Cunxi Yu, et al.. (2025). Optical neural engine for solving scientific partial differential equations. Nature Communications. 16(1). 4603–4603.

Hoffmann, Michael, et al.. (2024). 3D Ferroelectric Phase Field Simulations of Polycrystalline Multi‐Phase Hafnia and Zirconia Based Ultra‐Thin Films. Advanced Electronic Materials. 10(10). 7 indexed citations

Jambunathan, Revathi, et al.. (2023). Two-fluid physical modeling of superconducting resonators in the ARTEMIS framework. Computer Physics Communications. 291. 108836–108836. 1 indexed citations

Srivastava, Ishan, et al.. (2023). Staggered scheme for the compressible fluctuating hydrodynamics of multispecies fluid mixtures. Physical review. E. 107(1). 15305–15305. 4 indexed citations

Kim, Changho, et al.. (2023). Surface coverage dynamics for reversible dissociative adsorption on finite linear lattices. The Journal of Chemical Physics. 159(14). 2 indexed citations

Esclapez, Lucas, Marc Day, John B. Bell, et al.. (2023). PeleLMeX: an AMR Low Mach Number Reactive FlowSimulation Code without level sub-cycling. The Journal of Open Source Software. 8(90). 5450–5450. 24 indexed citations

Srivastava, Ishan, et al.. (2023). Steric effects in induced-charge electro-osmosis for strong electric fields. Physical Review Fluids. 8(8). 1 indexed citations

10.

Zingale, M., et al.. (2022). An Improved Method for Coupling Hydrodynamics with Astrophysical Reaction Networks. The Astrophysical Journal. 936(1). 6–6. 7 indexed citations

11.

Zingale, M., et al.. (2022). Neural Networks for Nuclear Reactions in MAESTROeX. The Astrophysical Journal. 940(2). 134–134. 6 indexed citations

12.

Srivastava, Ishan, et al.. (2022). Modeling electrokinetic flows with the discrete ion stochastic continuum overdamped solvent algorithm. Physical review. E. 106(3). 35104–35104. 6 indexed citations

13.

Bell, John B., Andrew Nonaka, Alejandro L. Garcia, & Gregory L. Eyink. (2022). Thermal fluctuations in the dissipation range of homogeneous isotropic turbulence. Journal of Fluid Mechanics. 939. 30 indexed citations

14.

Almgren, Ann, Vince Beckner, Cy Chan, et al.. (2019). AMReX-Codes/amrex: AMReX 19.05.1. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

15.

Nonaka, Andrew, et al.. (2019). MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver. The Journal of Open Source Software. 4(43). 1757–1757. 4 indexed citations

16.

Nonaka, Andrew. (2019). The AMReX block structured adaptive mesh refinement library: Astrophysical Applications. 233. 1 indexed citations

17.

Zhang, Weiqun, Ann Almgren, Vince Beckner, et al.. (2019). AMReX: a framework for block-structured adaptive mesh refinement. The Journal of Open Source Software. 4(37). 1370–1370. 287 indexed citations breakdown →

18.

Zingale, M., et al.. (2015). COMPARISONS OF TWO- AND THREE-DIMENSIONAL CONVECTION IN TYPE I X-RAY BURSTS. The Astrophysical Journal. 807(1). 60–60. 11 indexed citations

19.

Garcia, Alejandro L., et al.. (2013). Low Mach Number Fluctuating Hydrodynamics of Diffusively Mixing Fluids. Multiscale Modeling and Simulation. 2 indexed citations

20.

Trebotich, D., Phillip Colella, Gregory H. Miller, et al.. (2004). A Numerical Algorithm for Complex Biological Flow in Irregular Microdevice Geometries. Scholarly Commons (University of the Pacific). 2(2004). 470–473. 5 indexed citations

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.

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