B. K. Spears

7.5k total citations
72 papers, 1.3k citations indexed

About

B. K. Spears is a scholar working on Nuclear and High Energy Physics, Mechanics of Materials and Geophysics. According to data from OpenAlex, B. K. Spears has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Nuclear and High Energy Physics, 20 papers in Mechanics of Materials and 20 papers in Geophysics. Recurrent topics in B. K. Spears's work include Laser-Plasma Interactions and Diagnostics (50 papers), High-pressure geophysics and materials (20 papers) and Laser-induced spectroscopy and plasma (14 papers). B. K. Spears is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (50 papers), High-pressure geophysics and materials (20 papers) and Laser-induced spectroscopy and plasma (14 papers). B. K. Spears collaborates with scholars based in United States, Israel and United Kingdom. B. K. Spears's co-authors include J. L. Peterson, R. Nora, Kelli Humbird, J. D. Lindl, S. W. Haan, O. L. Landen, M. J. Edwards, D. H. Munro, D. A. Callahan and O. S. Jones and has published in prestigious journals such as Science, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

B. K. Spears

65 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. K. Spears United States 22 968 416 346 330 272 72 1.3k
J. L. Peterson United States 19 695 0.7× 256 0.6× 145 0.4× 220 0.7× 97 0.4× 54 1.0k
Mike Dunne United Kingdom 20 804 0.8× 498 1.2× 232 0.7× 525 1.6× 166 0.6× 57 1.3k
T. J. T. Kwan United States 15 816 0.8× 444 1.1× 221 0.6× 556 1.7× 57 0.2× 24 1.2k
Cris W. Barnes United States 24 1.6k 1.6× 217 0.5× 114 0.3× 321 1.0× 504 1.9× 108 2.1k
S. H. Langer United States 17 345 0.4× 150 0.4× 136 0.4× 205 0.6× 108 0.4× 44 986
Leopoldo Soto Chile 23 1.3k 1.3× 470 1.1× 92 0.3× 495 1.5× 561 2.1× 141 1.8k
K.H. Warren United States 5 379 0.4× 320 0.8× 371 1.1× 328 1.0× 41 0.2× 15 1000
J. Madsen Denmark 25 880 0.9× 91 0.2× 60 0.2× 514 1.6× 124 0.5× 60 1.8k
Jean-Luc Vay United States 26 2.3k 2.4× 825 2.0× 335 1.0× 1.2k 3.5× 274 1.0× 182 3.0k
Xian-Zhu Tang United States 20 1.1k 1.1× 213 0.5× 152 0.4× 318 1.0× 11 0.0× 116 1.7k

Countries citing papers authored by B. K. Spears

Since Specialization
Citations

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

Fields of papers citing papers by B. K. Spears

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. K. Spears. 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 B. K. Spears. The network helps show where B. K. Spears may publish in the future.

Co-authorship network of co-authors of B. K. Spears

This figure shows the co-authorship network connecting the top 25 collaborators of B. K. Spears. A scholar is included among the top collaborators of B. K. Spears 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 B. K. Spears. B. K. Spears 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.
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
2.
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
3.
Kluth, G., Kelli Humbird, B. K. Spears, et al.. (2020). Deep learning for NLTE spectral opacities. Physics of Plasmas. 27(5). 28 indexed citations
4.
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
5.
Kustowski, Bogdan, Jim Gaffney, B. K. Spears, & Rushil Anirudh. (2020). Fitting surrogate models of ICF radiation hydrodynamic simulations to multimodal experimental data with unknown inputs. Bulletin of the American Physical Society. 2020.
6.
Hohenberger, M., D. T. Casey, C. A. Thomas, et al.. (2019). Maintaining low-mode symmetry control with extended pulse shapes for lower-adiabat Bigfoot implosions on the National Ignition Facility. Physics of Plasmas. 26(11). 6 indexed citations
7.
Kruse, Michael, J. E. Field, James A. Gaffney, et al.. (2019). Area-Based Image Metrics Elucidate Differences Between Radiation-Hydrodynamics Simulations and NIF Experimental X-ray Images. APS Division of Plasma Physics Meeting Abstracts. 2019. 1 indexed citations
8.
Nora, R., J. E. Field, C. V. Young, et al.. (2018). 3D HYDRA Capsule Studies on the Effect of Hohlraum Windows. Bulletin of the American Physical Society. 2018.
9.
Chen, Hui, T. Ma, R. Nora, et al.. (2017). On krypton-doped capsule implosion experiments at the National Ignition Facility. Physics of Plasmas. 24(7). 18 indexed citations
10.
Humbird, Kelli, Ryan G. McClarren, J. E. Field, et al.. (2017). Using deep neural networks to augment NIF post-shot analysis. Bulletin of the American Physical Society. 2017. 1 indexed citations
11.
Ma, T., P. K. Patel, M. B. Schneider, et al.. (2016). Development of a krypton-doped gas symmetry capsule platform for x-ray spectroscopy of implosion cores on the NIF. Review of Scientific Instruments. 87(11). 11E327–11E327. 14 indexed citations
12.
Bachmann, B., T. J. Hilsabeck, J. E. Field, et al.. (2016). Resolving hot spot microstructure using x-ray penumbral imaging (invited). Review of Scientific Instruments. 87(11). 11E201–11E201. 23 indexed citations
13.
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
14.
Spears, B. K., D. H. Munro, S. M. Sepke, et al.. (2015). Three-dimensional simulations of National Ignition Facility implosions: Insight into experimental observablesa). Physics of Plasmas. 22(5). 56317–56317. 24 indexed citations
15.
Nora, R., B. K. Spears, Riccardo Tommasini, et al.. (2015). Quantifying low-mode shell asymmetry as a means to predict ICF implosion performance on the NIF. Bulletin of the American Physical Society. 2015. 1 indexed citations
16.
Gaffney, Jim, et al.. (2015). Data driven models of the performance and repeatability of NIF high foot implosions. Bulletin of the American Physical Society. 2015. 2 indexed citations
17.
Khan, S. F., B. K. Spears, L. R. Benedetti, et al.. (2013). Tracking the movement of the ICF hot spot using the time variance of the shape measured with gated x-ray cameras at NIF. Bulletin of the American Physical Society. 2013. 1 indexed citations
18.
Spears, B. K., D. S. Clark, M.J. Edwards, et al.. (2012). Alpha heating and implosion performance in cryogenic layered NIF implosions. Bulletin of the American Physical Society. 54.
19.
Spears, B. K.. (2011). The simulation basis for cryogenic layered implosion experiments on the National Ignition Facility. APS Division of Plasma Physics Meeting Abstracts. 53. 1 indexed citations
20.
Izumi, N., P. A. Amendt, Thomas Dittrich, et al.. (2006). Experimental study of fill-tube hydrodynamic effects on implosions using capsules with plastic stalks. Bulletin of the American Physical Society. 48.

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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