D. J. Stark

607 total citations
33 papers, 393 citations indexed

About

D. J. Stark is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Mechanics of Materials. According to data from OpenAlex, D. J. Stark has authored 33 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Nuclear and High Energy Physics, 13 papers in Atomic and Molecular Physics, and Optics and 12 papers in Mechanics of Materials. Recurrent topics in D. J. Stark's work include Laser-Plasma Interactions and Diagnostics (26 papers), Laser-Matter Interactions and Applications (13 papers) and Laser-induced spectroscopy and plasma (12 papers). D. J. Stark is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (26 papers), Laser-Matter Interactions and Applications (13 papers) and Laser-induced spectroscopy and plasma (12 papers). D. J. Stark collaborates with scholars based in United States, Australia and India. D. J. Stark's co-authors include Alexey Arefiev, T. Toncian, L. Yin, B. J. Albright, B. M. Haines, Fan Guo, Eric Loomis, Luis Chacòn, Guangye Chen and K. J. Bowers and has published in prestigious journals such as Physical Review Letters, Journal of Computational Physics and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

D. J. Stark

29 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. J. Stark United States 10 360 191 173 74 49 33 393
J. Peebles United States 12 327 0.9× 166 0.9× 208 1.2× 135 1.8× 38 0.8× 41 389
D. Schumacher Germany 11 263 0.7× 200 1.0× 161 0.9× 99 1.3× 27 0.6× 25 352
Matthew Weis United States 13 323 0.9× 107 0.6× 114 0.7× 100 1.4× 101 2.1× 34 425
T. C. Moore United States 7 286 0.8× 211 1.1× 169 1.0× 77 1.0× 43 0.9× 10 398
N. Niasse United Kingdom 12 307 0.9× 117 0.6× 147 0.8× 47 0.6× 88 1.8× 28 358
R. Presura United States 13 357 1.0× 150 0.8× 203 1.2× 73 1.0× 83 1.7× 76 477
Y. K. Chong United States 11 422 1.2× 183 1.0× 144 0.8× 75 1.0× 33 0.7× 28 484
Daniel Barnak United States 12 442 1.2× 102 0.5× 227 1.3× 149 2.0× 132 2.7× 31 482
P. Velarde Spain 11 214 0.6× 214 1.1× 86 0.5× 28 0.4× 40 0.8× 35 326
T. Chodukowski Poland 13 437 1.2× 208 1.1× 292 1.7× 59 0.8× 24 0.5× 51 488

Countries citing papers authored by D. J. Stark

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Stark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. J. Stark

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

All Works

20 of 20 papers shown
1.
Yin, L., S. Palaniyappan, Chun-Shang Wong, et al.. (2025). Optimizing MeV photon dose generation in laser-solid interactions via stable beam propagation. Physical Review Research. 7(2).
2.
Sacks, Ryan, B. M. Haines, Michael Grosskopf, et al.. (2025). Comparison of tungsten versus molybdenum for double shell capsules using machine learning design optimization. Physics of Plasmas. 32(3).
3.
Sacks, Ryan, Paul Keiter, Elizabeth Merritt, et al.. (2024). Outer shell symmetry for double shell capsules with aluminum ablators. Physics of Plasmas. 31(6). 4 indexed citations
4.
Loomis, Eric, H. F. Robey, S. Palaniyappan, et al.. (2024). Demonstration of low-mode shape control in indirect-drive double shell implosions at the NIF. Physics of Plasmas. 31(5). 5 indexed citations
5.
Yin, L., D. J. Stark, Chengkun Huang, et al.. (2024). Advances in laser-based bremsstrahlung x-ray sources. I. Optimizing laser-accelerated electrons. Physics of Plasmas. 31(12). 3 indexed citations
6.
Sacks, Ryan, et al.. (2024). Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design. Statistical Analysis and Data Mining The ASA Data Science Journal. 17(3). 2 indexed citations
7.
Bradley, Paul A., D. J. Stark, Eric Loomis, et al.. (2024). Validating methods for modeling composition gradients in planar shock experiments. Physics of Plasmas. 31(1). 2 indexed citations
8.
Stark, D. J., Eric Loomis, Joshua Sauppe, et al.. (2024). Beryllium–tungsten graded density inner shells in double shell capsules for improved hydrodynamic stability. Physics of Plasmas. 31(11). 2 indexed citations
9.
Stark, D. J., et al.. (2023). Nonlinear models for coupling the effects of stimulated Raman scattering to inertial confinement fusion codes. Physics of Plasmas. 30(4). 8 indexed citations
10.
Keenan, Brett & D. J. Stark. (2023). Faraday effect in collisional magnetized plasmas. Physics of Plasmas. 30(7).
11.
Haines, B. M., Michael D. McKay, HyeongKae Park, et al.. (2022). The development of a high-resolution Eulerian radiation-hydrodynamics simulation capability for laser-driven Hohlraums. Physics of Plasmas. 29(8). 22 indexed citations
12.
Stark, D. J., Joshua Sauppe, B. M. Haines, et al.. (2021). Detrimental effects and mitigation of the joint feature in double shell implosion simulations. Physics of Plasmas. 28(5). 14 indexed citations
13.
Grosskopf, Michael, D. J. Stark, Paul A. Bradley, et al.. (2021). Coupling 1D xRAGE simulations with machine learning for graded inner shell design optimization in double shell capsules. Physics of Plasmas. 28(12). 12 indexed citations
14.
Stark, D. J., et al.. (2020). Vortex generation in the early Universe. Astronomy and Astrophysics. 642. L6–L6. 6 indexed citations
15.
Chen, Guangye, et al.. (2020). A semi-implicit, energy- and charge-conserving particle-in-cell algorithm for the relativistic Vlasov-Maxwell equations. Journal of Computational Physics. 407. 109228–109228. 20 indexed citations
16.
Yin, L., et al.. (2019). Saturation of cross-beam energy transfer for multispeckled laser beams involving both ion and electron dynamics. Physics of Plasmas. 26(8). 22 indexed citations
17.
Stark, D. J., L. Yin, B. J. Albright, & Fan Guo. (2017). Effects of dimensionality on kinetic simulations of laser-ion acceleration in the transparency regime. Physics of Plasmas. 24(5). 31 indexed citations
18.
Stark, D. J., T. Toncian, & Alexey Arefiev. (2016). Enhanced Multi-MeV Photon Emission by a Laser-Driven Electron Beam in a Self-Generated Magnetic Field. Physical Review Letters. 116(18). 185003–185003. 142 indexed citations
19.
Stark, D. J., et al.. (2015). Beltrami state in black-hole accretion disk: A magnetofluid approach. Physical Review E. 92(6). 63104–63104. 11 indexed citations
20.
Stark, D. J.. (2009). Religious Tourism in Roman Greece. Scholars Commons (Wilfrid Laurier University). 2 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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