S. Brandon

665 total citations
28 papers, 434 citations indexed

About

S. Brandon is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, S. Brandon has authored 28 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 10 papers in Electrical and Electronic Engineering and 6 papers in Aerospace Engineering. Recurrent topics in S. Brandon's work include Laser-Plasma Interactions and Diagnostics (11 papers), Electromagnetic Simulation and Numerical Methods (7 papers) and Particle accelerators and beam dynamics (5 papers). S. Brandon is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (11 papers), Electromagnetic Simulation and Numerical Methods (7 papers) and Particle accelerators and beam dynamics (5 papers). S. Brandon collaborates with scholars based in United States and France. S. Brandon's co-authors include B. K. Spears, J. L. Peterson, R. Nora, T. P. Armstrong, L. J. Lanzerotti, John Ambrosiano, M. T. Paonessa, S. M. Krimigis, J. E. Field and Kelli Humbird and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Journal of Applied Physics.

In The Last Decade

S. Brandon

26 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Brandon United States	10	172	100	80	69	67	28	434
Charles Nakhleh United States	10	656 3.8×	141 1.4×	65 0.8×	93 1.3×	36 0.5×	19	931
Alice Koniges United States	13	235 1.4×	149 1.5×	32 0.4×	36 0.5×	35 0.5×	74	559
Aidan Crilly United Kingdom	13	273 1.6×	74 0.7×	54 0.7×	107 1.6×	16 0.2×	46	440
Anshu Dubey United States	14	170 1.0×	397 4.0×	28 0.3×	44 0.6×	25 0.4×	55	967
Angelo Tartaglia Italy	15	102 0.6×	335 3.4×	211 2.6×	9 0.1×	43 0.6×	92	647
V. Matoušek Slovakia	11	164 1.0×	18 0.2×	37 0.5×	18 0.3×	55 0.8×	43	616
Alexey B. Iskakov Russia	12	70 0.4×	212 2.1×	53 0.7×	84 1.2×	98 1.5×	50	500
Iosif Meyerov Russia	12	301 1.8×	28 0.3×	261 3.3×	98 1.4×	92 1.4×	41	533
H. Tamura Japan	15	272 1.6×	26 0.3×	345 4.3×	27 0.4×	82 1.2×	54	699
W. J. Weber Italy	19	68 0.4×	460 4.6×	244 3.0×	18 0.3×	168 2.5×	52	871

Countries citing papers authored by S. Brandon

Since Specialization

Citations

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

Fields of papers citing papers by S. Brandon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Brandon. 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. Brandon. The network helps show where S. Brandon may publish in the future.

Co-authorship network of co-authors of S. Brandon

This figure shows the co-authorship network connecting the top 25 collaborators of S. Brandon. A scholar is included among the top collaborators of S. Brandon 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 S. Brandon. S. Brandon 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

Spears, B. K., S. Brandon, D. T. Casey, et al.. (2025). Predicting fusion ignition at the National Ignition Facility with physics-informed deep learning. Science. 389(6761). 727–731. 2 indexed citations

Gaffney, Jim, S. Brandon, Kelli Humbird, et al.. (2019). Making inertial confinement fusion models more predictive. Physics of Plasmas. 26(8). 42 indexed citations

Peterson, J. L., L. Berzak Hopkins, Kelli Humbird, et al.. (2017). Enhancing Hohlraum Design with Artificial Neural Networks. Bulletin of the American Physical Society. 2017.

Nora, R., J. L. Peterson, B. K. Spears, J. E. Field, & S. Brandon. (2017). Ensemble simulations of inertial confinement fusion implosions. Statistical Analysis and Data Mining The ASA Data Science Journal. 10(4). 230–237. 20 indexed citations

Humbird, Kelli, J. L. Peterson, S. Brandon, et al.. (2016). Surrogate models for identifying robust, high yield regions of parameter space for ICF implosion simulations. Bulletin of the American Physical Society. 2016. 1 indexed citations

Brandon, S., et al.. (2013). Material Identification by HPLC with Charged Aerosol Detection. LCGC North America. 31(7). 564–566. 3 indexed citations

Lucas, D. D., R. Klein, J. Tannahill, et al.. (2013). Failure analysis of parameter-induced simulation crashes in climate models. Geoscientific model development. 6(4). 1157–1171. 65 indexed citations

Spears, B. K., S. H. Glenzer, M. J. Edwards, et al.. (2012). Performance metrics for inertial confinement fusion implosions: Aspects of the technical framework for measuring progress in the National Ignition Campaign. Physics of Plasmas. 19(5). 53 indexed citations

Tannahill, J., S. Brandon, Curt Covey, et al.. (2010). The Climate Uncertainty Quantification Project at Lawrence Livermore National Laboratory: I. Initial Analysis of the Sensitivities and Uncertainties in the Community Atmosphere Model. AGU Fall Meeting Abstracts. 2010. 2 indexed citations

10.

Sonnendrücker, Éric, John Ambrosiano, & S. Brandon. (1995). A finite element formulation of the Darwin PIC model for use on unstructured grids. Journal of Computational Physics. 121(2). 281–297. 32 indexed citations

11.

Ambrosiano, John, S. Brandon, Rainald Löhner, & C. R. DeVore. (1994). Electromagnetics via the Taylor-Galerkin Finite Element Method on Unstructured Grids. Journal of Computational Physics. 110(2). 310–319. 17 indexed citations

12.

Ambrosiano, John, S. Brandon, & Rainald Löhner. (1991). Finite Element Particle Simulation On Unstructured Grids. 209–209. 1 indexed citations

13.

Ho, D., et al.. (1990). Longitudinal Beam Compression for Heavy-Ion Inertial Fusion. CERN Bulletin. 35(1991). 1 indexed citations

14.

Ambrosiano, John, S. Brandon, & Rainald Löhner. (1990). A finite element particle code on an unstructured grid. 102–102. 1 indexed citations

15.

Friedman, A., et al.. (1990). Damped time advance methods for particles and EM fields. University of North Texas Digital Library (University of North Texas). 4 indexed citations

16.

Mankofsky, A., Chein‐Chi Chang, K. Ko, et al.. (1988). Domain decomposition and particle pushing for multiprocessing computers. Computer Physics Communications. 48(1). 155–165. 6 indexed citations

17.

Mark, J.W.K., et al.. (1986). Studies on longitudinal beam compression in induction accelerator drivers. AIP conference proceedings. 152. 227–236.

18.

Eppley, K., et al.. (1985). Results of Simulations of High-Power Klystrons. IEEE Transactions on Nuclear Science. 32(5). 2903–2905. 10 indexed citations

19.

Brandon, S., et al.. (1984). Numerical simulations of positively-biased probes and dielectric-conductor disks in a plasma. Journal of Applied Physics. 56(11). 3215–3222. 9 indexed citations

20.

Armstrong, T. P., M. T. Paonessa, S. Brandon, S. M. Krimigis, & L. J. Lanzerotti. (1981). Low‐energy charged particle observations in the 5–20 R_J region of the Jovian magnetosphere. Journal of Geophysical Research Atmospheres. 86(A10). 8343–8355. 79 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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