Thomas Spinka

1.8k total citations
37 papers, 295 citations indexed

About

Thomas Spinka is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Nuclear and High Energy Physics. According to data from OpenAlex, Thomas Spinka has authored 37 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 21 papers in Atomic and Molecular Physics, and Optics and 11 papers in Nuclear and High Energy Physics. Recurrent topics in Thomas Spinka's work include Laser Design and Applications (17 papers), Solid State Laser Technologies (17 papers) and Laser-Matter Interactions and Applications (13 papers). Thomas Spinka is often cited by papers focused on Laser Design and Applications (17 papers), Solid State Laser Technologies (17 papers) and Laser-Matter Interactions and Applications (13 papers). Thomas Spinka collaborates with scholars based in United States and Czechia. Thomas Spinka's co-authors include J. G. Eden, David L. Carroll, C. J. Wagner, J. T. Verdeyen, Thomas Galvin, Emily Sistrunk, C. Haefner, Brendan A. Reagan, C. W. Siders and A Bayramian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Thomas Spinka

29 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Spinka United States 10 184 143 52 41 37 37 295
H. Imao Japan 7 142 0.8× 60 0.4× 52 1.0× 36 0.9× 31 0.8× 40 225
R. Leroy France 10 144 0.8× 231 1.6× 120 2.3× 49 1.2× 32 0.9× 58 399
V. V. Ivanov Russia 11 88 0.5× 234 1.6× 32 0.6× 110 2.7× 27 0.7× 26 314
Dogeun Jang South Korea 10 142 0.8× 156 1.1× 58 1.1× 58 1.4× 19 0.5× 34 254
Jinxiang Cao China 11 97 0.5× 191 1.3× 89 1.7× 46 1.1× 8 0.2× 55 337
A. Shornikov Germany 8 94 0.5× 60 0.4× 41 0.8× 13 0.3× 17 0.5× 18 214
R. Dabu Romania 11 163 0.9× 113 0.8× 66 1.3× 64 1.6× 36 1.0× 45 336
Łukasz Węgrzyński Poland 12 128 0.7× 103 0.7× 102 2.0× 146 3.6× 67 1.8× 61 405
D. Voulot Switzerland 11 77 0.4× 94 0.7× 86 1.7× 44 1.1× 6 0.2× 37 266
A. Tsunemi Japan 8 111 0.6× 94 0.7× 115 2.2× 73 1.8× 82 2.2× 21 276

Countries citing papers authored by Thomas Spinka

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Spinka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Spinka

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Spinka. A scholar is included among the top collaborators of Thomas Spinka 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 Thomas Spinka. Thomas Spinka 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.
Banerjee, Saumyabrata, Anthony T. Vella, František Batysta, et al.. (2025). Thermal stress-induced depolarization compensation in wide-bandwidth, high-energy, high-repetition-rate multi-slab laser amplifiers. High Power Laser Science and Engineering. 13. 1 indexed citations
2.
Batysta, František, Jakub Novák, Anthony T. Vella, et al.. (2025). Characterization of a multi-kW, large-aperture gas-cooled Faraday rotator. Optics Express. 33(4). 7372–7372.
3.
Church, Andrew, František Batysta, Thomas Galvin, et al.. (2024). Demonstration of a 1 TW peak power, joule-level ultrashort Tm:YLF laser. Optics Letters. 49(6). 1583–1583. 6 indexed citations
4.
Sistrunk, Emily, František Batysta, Andrew Church, et al.. (2023). Thermally Induced Fracture of Laser Glass in High Average Power Gas-Cooled Laser Systems. SM1D.4–SM1D.4.
5.
Reagan, Brendan A., Thomas Galvin, František Batysta, et al.. (2023). 100J-Level Energy Extraction in a Compact, Diode-Pumped Tm:YLF Amplifier. 83. SF1N.3–SF1N.3. 1 indexed citations
6.
Reagan, Brendan A., et al.. (2022). Multi-joule energy extraction in diode-pumped Tm:YLF. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 11034. 14–14. 1 indexed citations
7.
Reagan, Brendan A., Thomas Galvin, František Batysta, et al.. (2022). 1 GW peak power and 100 J pulsed operation of a diode-pumped Tm:YLF laser. Optics Express. 30(26). 46336–46336. 21 indexed citations
8.
Reagan, Brendan A., et al.. (2021). Demonstration of a compact, multi-joule, diode-pumped Tm:YLF laser. Optics Letters. 46(20). 5096–5096. 40 indexed citations
9.
Laurence, Ted A., D. Alessi, Eyal Feigenbaum, et al.. (2020). Mirrors for petawatt lasers: Design principles, limitations, and solutions. Journal of Applied Physics. 128(7). 12 indexed citations
10.
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
11.
Spinka, Thomas, et al.. (2019). Temporal pre-pulse generation in high-intensity CPA lasers from imperfect domain orientation in anisotropic crystals. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 13–13.
12.
Galvin, Thomas, A Bayramian, C. W. Siders, et al.. (2019). Scaling of petawatt-class lasers to multi-kHZ repetition rates. 1–1. 9 indexed citations
13.
Williams, Wade H., Sachin S. Talathi, Thomas Spinka, et al.. (2018). Active learning with deep Bayesian neural network for laser control. 22–22. 4 indexed citations
14.
Spinka, Thomas & C. Haefner. (2017). High-Average-Power Ultrafast Lasers. Optics and Photonics News. 28(10). 26–26. 12 indexed citations
15.
Alessi, D., Emily Sistrunk, Hoàng Tùng Nguyễn, et al.. (2017). A Compressor for High Average Power Ultrafast Laser Pulses with High Energies. Conference on Lasers and Electro-Optics. 12. STh1L.3–STh1L.3. 5 indexed citations
16.
Kafka, Kyle R. P., Enam Chowdhury, Raluca A. Negres, et al.. (2015). Test station development for laser-induced optical damage performance of broadband multilayer dielectric coatings. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9632. 96321C–96321C. 8 indexed citations
17.
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.
18.
Spinka, Thomas. (2010). Nonlinear optical processes and the nearest neighbor distribution in rubidium vapor. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 73(1). 101–3. 2 indexed citations
19.
Sung, Seung-Hun, et al.. (2008). Evidence for Nearest Neighbor Coupling in Arrays of Ellipsoidal Microcavity Plasmas. IEEE Transactions on Plasma Science. 36(4). 1246–1247. 5 indexed citations
20.

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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