J. M. Koning

2.1k total citations
29 papers, 594 citations indexed

About

J. M. Koning is a scholar working on Nuclear and High Energy Physics, Mechanics of Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, J. M. Koning has authored 29 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 9 papers in Mechanics of Materials and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in J. M. Koning's work include Laser-Plasma Interactions and Diagnostics (13 papers), Laser-induced spectroscopy and plasma (8 papers) and Magnetic confinement fusion research (5 papers). J. M. Koning is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (13 papers), Laser-induced spectroscopy and plasma (8 papers) and Magnetic confinement fusion research (5 papers). J. M. Koning collaborates with scholars based in United States, Netherlands and France. J. M. Koning's co-authors include M. M. Marinak, Kyle Peterson, S. A. Slutz, D. B. Sinars, D. White, D. S. Clark, B. A. Hammel, A. B. Sefkow, Roger Alan Vesey and O. S. Jones and has published in prestigious journals such as SHILAP Revista de lepidopterología, Desalination and Journal of Lightwave Technology.

In The Last Decade

J. M. Koning

28 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. M. Koning United States	14	392	190	157	138	86	29	594
Nicolas Bourgeois France	16	283 0.7×	158 0.8×	209 1.3×	75 0.5×	102 1.2×	52	654
R. Aliaga-Rossel United Kingdom	13	449 1.1×	189 1.0×	215 1.4×	51 0.4×	94 1.1×	42	578
Axel Huebl United States	12	325 0.8×	116 0.6×	148 0.9×	68 0.5×	132 1.5×	39	451
Angxiu Ni United States	8	125 0.3×	98 0.5×	47 0.3×	122 0.9×	33 0.4×	34	457
C. Leland Ellison United States	10	152 0.4×	63 0.3×	114 0.7×	37 0.3×	205 2.4×	31	402
Kelli Humbird United States	7	196 0.5×	89 0.5×	50 0.3×	46 0.3×	19 0.2×	24	375
S. Langer United States	12	201 0.5×	175 0.9×	150 1.0×	35 0.3×	17 0.2×	19	330
B. Dasgupta United States	18	168 0.4×	49 0.3×	281 1.8×	105 0.8×	48 0.6×	98	1.4k
Oscar Buneman United States	10	232 0.6×	61 0.3×	128 0.8×	35 0.3×	187 2.2×	18	553
Zhiyong Qin China	10	411 1.0×	195 1.0×	277 1.8×	53 0.4×	180 2.1×	40	582

Countries citing papers authored by J. M. Koning

Since Specialization

Citations

This map shows the geographic impact of J. M. Koning'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 J. M. Koning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Koning more than expected).

Fields of papers citing papers by J. M. Koning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Koning. 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 J. M. Koning. The network helps show where J. M. Koning may publish in the future.

Co-authorship network of co-authors of J. M. Koning

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Koning. A scholar is included among the top collaborators of J. M. Koning 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 J. M. Koning. J. M. Koning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Weis, Matthew, D. E. Ruiz, M. R. Gómez, et al.. (2025). Assessing the performance of MagLIF with 3D MHD simulations. Physics of Plasmas. 32(2). 2 indexed citations

Peterson, J. L., J. M. Koning, Peter Robinson, et al.. (2022). Enabling machine learning-ready HPC ensembles with Merlin. Future Generation Computer Systems. 131. 255–268. 18 indexed citations

Kluth, G., Kelli Humbird, B. K. Spears, et al.. (2020). Deep learning for NLTE spectral opacities. Physics of Plasmas. 27(5). 28 indexed citations

Kustowski, Bogdan, L. Massé, J. M. Koning, et al.. (2020). Engineering Robustness into Inertial Confinement Fusion Designs. Bulletin of the American Physical Society. 2020. 1 indexed citations

Clark, D. S., C. R. Weber, J. L. Milovich, et al.. (2019). Three-dimensional modeling and hydrodynamic scaling of National Ignition Facility implosions. Physics of Plasmas. 26(5). 63 indexed citations

Salmonson, J. D., et al.. (2019). Analysis of Predictivity of Hohlraum Simulations of Implosion Experiments on the NIF. APS. 2019. 1 indexed citations

Kluth, G., Kelli Humbird, B. K. Spears, et al.. (2019). Deep Learning for Non-Local Thermodynamic Equilibrium in hydrocodes for ICF. APS Division of Plasma Physics Meeting Abstracts. 2019. 1 indexed citations

Farmer, W. A., O. S. Jones, M. A. Barrios, et al.. (2018). Heat transport modeling of the dot spectroscopy platform on NIF. Plasma Physics and Controlled Fusion. 60(4). 44009–44009. 20 indexed citations

Farmer, W. A., J. M. Koning, D. J. Strozzi, et al.. (2017). Simulation of self-generated magnetic fields in an inertial fusion hohlraum environment. Physics of Plasmas. 24(5). 51 indexed citations

10.

Shvydky, A., P. B. Radha, M. J. Rosenberg, et al.. (2017). Three-Dimensional Simulations of Flat-Foil Laser-Imprint Experiments at the National Ignition Facility. Bulletin of the American Physical Society. 2017. 1 indexed citations

11.

Haan, S. W., et al.. (2016). Simulated impact of self-generated magnetic fields in the hot-spot of NIF implosions. Bulletin of the American Physical Society. 2016. 1 indexed citations

12.

Harvey-Thompson, A. J., A. B. Sefkow, M. S. Wei, et al.. (2016). Laser propagation measurements in long-scale-length underdense plasmas relevant to magnetized liner inertial fusion. Physical review. E. 94(5). 51201–51201. 12 indexed citations

13.

Koning, J. M., et al.. (2015). Development of a Non Explosive Low Shock (NELS) Holddown and Release System. ESASP. 737. 45. 1 indexed citations

14.

Peterson, Kyle, Edmund Yu, D. B. Sinars, et al.. (2013). Simulations of electrothermal instability growth in solid aluminum rods. Physics of Plasmas. 20(5). 51 indexed citations

15.

Amendt, Peter, D. S. Clark, D. Ho, et al.. (2012). Implosion and burn of fast ignition capsules—Calculations with HYDRA. Physics of Plasmas. 19(9). 13 indexed citations

16.

Koning, J. M., G. D. Kerbel, & M. M. Marinak. (2009). The Hydra Magnetohydrodynamics Package. Bulletin of the American Physical Society. 51. 2 indexed citations

17.

Castillo, Paul, J. M. Koning, Robert N. Rieben, & D. White. (2004). A Discrete Differential Forms Framework for Computational Electromagnetism. Computer Modeling in Engineering & Sciences. 5(4). 331–346. 20 indexed citations

18.

Nourgaliev, Robert, et al.. (2004). Direct Numerical Simulation of Disperse Multiphase High-Speed Flows. 42nd AIAA Aerospace Sciences Meeting and Exhibit. 7 indexed citations

19.

Koning, J. M., Garry Rodrigue, & D. White. (2000). Scalable preconditioned conjugate gradient inversion of vector finite element mass matrices. Journal of Computational and Applied Mathematics. 123(1-2). 307–321. 3 indexed citations

20.

Koning, J. M., et al.. (1977). Use of fluidised beds as turbulence promotors in tubular membrane systems. Desalination. 22(1-3). 465–483. 29 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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