V. Gopalaswamy

660 total citations
35 papers, 197 citations indexed

About

V. Gopalaswamy is a scholar working on Nuclear and High Energy Physics, Mechanics of Materials and Geophysics. According to data from OpenAlex, V. Gopalaswamy has authored 35 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Nuclear and High Energy Physics, 13 papers in Mechanics of Materials and 12 papers in Geophysics. Recurrent topics in V. Gopalaswamy's work include Laser-Plasma Interactions and Diagnostics (30 papers), High-pressure geophysics and materials (12 papers) and Laser-induced spectroscopy and plasma (11 papers). V. Gopalaswamy is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (30 papers), High-pressure geophysics and materials (12 papers) and Laser-induced spectroscopy and plasma (11 papers). V. Gopalaswamy collaborates with scholars based in United States, United Kingdom and Spain. V. Gopalaswamy's co-authors include R. Betti, A. R. Christopherson, Owen Mannion, P. B. Radha, K. M. Woo, D. Patel, D. Cao, C. J. Forrest, A. Bose and J. P. Knauer and has published in prestigious journals such as Journal of Applied Physics, Review of Scientific Instruments and Physics of Plasmas.

In The Last Decade

V. Gopalaswamy

28 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Gopalaswamy United States 9 183 76 60 58 57 35 197
Owen Mannion United States 9 220 1.2× 64 0.8× 110 1.8× 63 1.1× 42 0.7× 33 238
Tom Dittrich United States 3 174 1.0× 71 0.9× 25 0.4× 62 1.1× 80 1.4× 4 196
M. Schoff United States 9 124 0.7× 62 0.8× 58 1.0× 29 0.5× 36 0.6× 25 180
S. W. Haan United States 6 172 0.9× 58 0.8× 66 1.1× 56 1.0× 61 1.1× 6 196
A. M. Saunders United States 8 113 0.6× 61 0.8× 27 0.5× 69 1.2× 56 1.0× 26 175
B. Lahmann United States 9 136 0.7× 65 0.9× 68 1.1× 51 0.9× 36 0.6× 30 173
Wudi Zheng China 8 190 1.0× 130 1.7× 18 0.3× 69 1.2× 116 2.0× 39 223
R. L. Keck United States 6 217 1.2× 119 1.6× 30 0.5× 80 1.4× 91 1.6× 12 228
S. Lazier United States 6 171 0.9× 49 0.6× 30 0.5× 52 0.9× 94 1.6× 14 192
N. E. Palmer United States 10 151 0.8× 79 1.0× 58 1.0× 31 0.5× 74 1.3× 32 212

Countries citing papers authored by V. Gopalaswamy

Since Specialization
Citations

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

Fields of papers citing papers by V. Gopalaswamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Gopalaswamy

This figure shows the co-authorship network connecting the top 25 collaborators of V. Gopalaswamy. A scholar is included among the top collaborators of V. Gopalaswamy 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 V. Gopalaswamy. V. Gopalaswamy 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.
Gopalaswamy, V., et al.. (2025). AutoUncertainties: A Python Package for Uncertainty Propagation. The Journal of Open Source Software. 10(111). 8037–8037.
2.
3.
Johnson, M. Gatu, J. H. Kunimune, G.P.A. Berg, et al.. (2024). The next-generation magnetic recoil spectrometer (MRSnext) on OMEGA and NIF for diagnosing ion temperature, yield, areal density, and alpha heating. Review of Scientific Instruments. 95(8). 2 indexed citations
4.
Gopalaswamy, V., et al.. (2024). Deep learning-based predictive models for laser direct drive at the Omega Laser Facility. Physics of Plasmas. 31(5). 1 indexed citations
5.
Woo, K. M., W. Theobald, R. Betti, et al.. (2024). Three-dimensional reconstruction of laser-direct-drive inertial confinement fusion hot-spot plasma from x-ray diagnostics on the OMEGA laser facility (invited). Review of Scientific Instruments. 95(10). 1 indexed citations
6.
Patel, D., Rahul Shah, R. Betti, et al.. (2023). Measuring higher-order moments of neutron-time-of-flight data for cryogenic inertial confinement fusion implosions on OMEGA. Physics of Plasmas. 30(10). 2 indexed citations
7.
Mannion, Owen, Aidan Crilly, C. J. Forrest, et al.. (2022). Measurements of the temperature and velocity of the dense fuel layer in inertial confinement fusion experiments. Physical review. E. 105(5). 55205–55205. 7 indexed citations
8.
Patel, D., A. Lees, C. Stöeckl, et al.. (2022). Predicting hot electron generation in inertial confinement fusion with particle-in-cell simulations. Physical review. E. 106(5). 55214–55214. 5 indexed citations
9.
Gopalaswamy, V., R. Betti, P. B. Radha, et al.. (2022). Analysis of limited coverage effects on areal density measurements in inertial confinement fusion implosions. Physics of Plasmas. 29(7). 2 indexed citations
10.
Forrest, C. J., Aidan Crilly, M. Gatu Johnson, et al.. (2022). Measurements of low-mode asymmetries in the areal density of laser-direct-drive deuterium–tritium cryogenic implosions on OMEGA using neutron spectroscopy. Review of Scientific Instruments. 93(10). 103505–103505. 4 indexed citations
11.
Shah, Rahul, S. X. Hu, I. V. Igumenshchev, et al.. (2021). Observations of anomalous x-ray emission at early stages of hot-spot formation in deuterium-tritium cryogenic implosions. Physical review. E. 103(2). 23201–23201. 7 indexed citations
12.
Gopalaswamy, V.. (2021). Advances toward hydro-equivalent ignition in OMEGA direct-drive implosions. Bulletin of the American Physical Society. 1 indexed citations
13.
Gopalaswamy, V., R. Betti, J. P. Knauer, et al.. (2021). Using statistical modeling to predict and understand fusion experiments. Physics of Plasmas. 28(12). 4 indexed citations
14.
Christopherson, A. R., et al.. (2020). Theory of ignition and burn propagation in inertial fusion implosions. Physics of Plasmas. 27(5). 17 indexed citations
15.
Turnbull, D., A. V. Maximov, D. Cao, et al.. (2020). Impact of spatiotemporal smoothing on the two-plasmon–decay instability. Physics of Plasmas. 27(10). 12 indexed citations
16.
Betti, R., et al.. (2020). Exploring Pathways to Hydro-Equivalent Ignition on the OMEGA Laser. APS Division of Plasma Physics Meeting Abstracts. 2020. 1 indexed citations
17.
Mannion, Owen, J. P. Knauer, R. Betti, et al.. (2020). Modeling the Effects of Ion Viscosity on the Dynamics of OMEGA Direct-Drive Cryogenic Implosions. APS Division of Plasma Physics Meeting Abstracts. 2020. 1 indexed citations
18.
Mannion, Owen, D. Cao, C. J. Forrest, et al.. (2019). Experimental Analysis of nT Kinematic Edge Data on OMEGA. APS Division of Plasma Physics Meeting Abstracts. 2019. 1 indexed citations
19.
Gopalaswamy, V.. (2018). Optimization of Direct-Drive Inertial Fusion Implosions Through Predictive Statistical Modeling. Bulletin of the American Physical Society. 2018. 1 indexed citations
20.
Woo, K. M., et al.. (2017). Statistical Relations for Yield Degradation in Inertial Confinement Fusion. Bulletin of the American Physical Society. 2017. 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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