S. M. Betts

603 total citations
19 papers, 299 citations indexed

About

S. M. Betts is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Radiation. According to data from OpenAlex, S. M. Betts has authored 19 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nuclear and High Energy Physics, 11 papers in Electrical and Electronic Engineering and 9 papers in Radiation. Recurrent topics in S. M. Betts's work include Laser-Plasma Interactions and Diagnostics (13 papers), Advanced X-ray Imaging Techniques (6 papers) and Laser-Matter Interactions and Applications (6 papers). S. M. Betts is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (13 papers), Advanced X-ray Imaging Techniques (6 papers) and Laser-Matter Interactions and Applications (6 papers). S. M. Betts collaborates with scholars based in United States, Germany and France. S. M. Betts's co-authors include David J. Gibson, A. Tremaine, S. G. Anderson, C. P. J. Barty, F. V. Hartemann, D. N. Fittinghoff, C. W. Siders, J. Kuba, D.R. Slaughter and John K. Crane and has published in prestigious journals such as Psychological Review, Optics Letters and Physics of Plasmas.

In The Last Decade

S. M. Betts

18 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. M. Betts United States 9 208 146 119 109 35 19 299
V. Yakimenko United States 8 196 0.9× 130 0.9× 119 1.0× 96 0.9× 38 1.1× 11 268
I. Drebot Italy 11 191 0.9× 213 1.5× 128 1.1× 104 1.0× 58 1.7× 40 370
Yoichi Yatsu Japan 10 131 0.6× 212 1.5× 60 0.5× 98 0.9× 32 0.9× 50 376
D. Pacella Italy 12 311 1.5× 177 1.2× 137 1.2× 81 0.7× 70 2.0× 59 455
D. Giove Italy 11 149 0.7× 146 1.0× 67 0.6× 116 1.1× 18 0.5× 53 365
Yu. A. Tikhonov Russia 11 242 1.2× 123 0.8× 98 0.8× 78 0.7× 48 1.4× 24 317
Ken Horikawa Japan 10 162 0.8× 184 1.3× 77 0.6× 65 0.6× 15 0.4× 26 341
Nicolai F. Brejnholt United States 12 116 0.6× 172 1.2× 54 0.5× 49 0.4× 41 1.2× 26 308
A. Tsunemi Japan 8 115 0.6× 74 0.5× 111 0.9× 94 0.9× 40 1.1× 21 276
B. Rusnak United States 9 114 0.5× 94 0.6× 122 1.0× 102 0.9× 67 1.9× 40 308

Countries citing papers authored by S. M. Betts

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Betts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. M. Betts

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

All Works

19 of 19 papers shown
1.
Anderson, John R., et al.. (2022). The environmental basis of memory.. Psychological Review. 130(5). 1137–1166. 2 indexed citations
2.
Galvin, Thomas, Emily Sistrunk, S. M. Betts, et al.. (2019). Deep Learning for Real-Time Modeling of High Repetition Rate, Short Pulse CPA Laser Amplifier. Conference on Lasers and Electro-Optics. 2 indexed citations
3.
Galvin, Thomas, Emily Sistrunk, S. M. Betts, et al.. (2019). Deep Learning for Real-Time Modeling of High Repetition Rate, Short Pulse CPA Laser Amplifier. Conference on Lasers and Electro-Optics. 90. SM4E.6–SM4E.6. 1 indexed citations
4.
Moody, J. T., S. G. Anderson, S. M. Betts, et al.. (2016). Ultrashort laser pulse driven inverse free electron laser accelerator experiment. Physical Review Accelerators and Beams. 19(2). 7 indexed citations
5.
Alessi, D., Richard P. Hackel, D. A. Cross, et al.. (2014). Optical Damage Performance Assessment of Petawatt Final Optics for the Advanced Radiographic Capability. 44. JTh3J.2–JTh3J.2. 3 indexed citations
6.
Gilmore, M., A. G. Lynn, Tiffany Desjardins, et al.. (2014). The HelCat basic plasma science device. Journal of Plasma Physics. 81(1). 18 indexed citations
7.
Alessi, D., Thomas Spinka, S. M. Betts, et al.. (2012). High Dynamic Range Temporal Contrast Measurement and Characterization of Oscillators for Seeding High Energy Petawatt Laser Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). CM4D.5–CM4D.5.
8.
Moody, J. T., P. Musumeci, S. G. Anderson, et al.. (2012). The LLNL/UCLA high gradient inverse free electron laser. AIP conference proceedings. 482–487. 1 indexed citations
9.
Shverdin, M. Y., Igor Jovanovic, V. A. Semenov, et al.. (2010). High-power picosecond laser pulse recirculation. Optics Letters. 35(13). 2224–2224. 8 indexed citations
10.
Albert, F., S. G. Anderson, S. M. Betts, et al.. (2010). Isotope-specific detection of low-density materials with laser-based monoenergetic gamma-rays. Optics Letters. 35(3). 354–354. 35 indexed citations
11.
Shverdin, M. Y., F. Albert, S. G. Anderson, et al.. (2010). Chirped-pulse amplification with narrowband pulses. Optics Letters. 35(14). 2478–2478. 13 indexed citations
12.
Gibson, David J., F. Albert, S. G. Anderson, et al.. (2010). Design and operation of a tunable MeV-level Compton-scattering-basedγ-ray source. Physical Review Special Topics - Accelerators and Beams. 13(7). 50 indexed citations
13.
Tremaine, A., S. G. Anderson, S. M. Betts, et al.. (2006). High Energy, High Brightness X-Rays Produced by Compton Backscattering at the Livermore Pleiades Facility. Proceedings of the 2005 Particle Accelerator Conference. 286. 1464–1466. 1 indexed citations
14.
Hartemann, F. V., W.J. Brown, S. G. Anderson, et al.. (2004). COMPTON SCATTERING AND ITS APPLICATIONS: THE PLEIADES FEMTOSECOND X-RAY SOURCE AT LLNL. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 49–62. 1 indexed citations
15.
Anderson, S. G., C. P. J. Barty, S. M. Betts, et al.. (2004). Short-pulse, high-brightness X-ray production with the PLEIADES Thomson-scattering source. Applied Physics B. 78(7-8). 891–894. 27 indexed citations
16.
Gibson, David J., C. P. J. Barty, S. M. Betts, et al.. (2004). PLEIADES: A picosecond Compton scattering x-ray source for advanced backlighting and time-resolved material studies. Physics of Plasmas. 11(5). 2857–2864. 53 indexed citations
17.
Hartemann, F. V., A. Tremaine, S. G. Anderson, et al.. (2004). Characterization of a bright, tunable, ultrafast Compton scattering X-ray source. Laser and Particle Beams. 22(3). 221–244. 23 indexed citations
18.
Brown, W.J., S. G. Anderson, C. P. J. Barty, et al.. (2004). Experimental characterization of an ultrafast Thomson scattering x-ray source with three-dimensional time and frequency-domain analysis. Physical Review Special Topics - Accelerators and Beams. 7(6). 53 indexed citations
19.
Kuba, J., C. P. J. Barty, S. M. Betts, et al.. (2003). PLEIADES: high peak brightness, subpicosecond Thomson hard x-ray source. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5197. 241–241. 1 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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