Travis Gray

2.0k total citations
54 papers, 832 citations indexed

About

Travis Gray is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Travis Gray has authored 54 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Nuclear and High Energy Physics, 38 papers in Materials Chemistry and 17 papers in Biomedical Engineering. Recurrent topics in Travis Gray's work include Magnetic confinement fusion research (49 papers), Fusion materials and technologies (37 papers) and Superconducting Materials and Applications (17 papers). Travis Gray is often cited by papers focused on Magnetic confinement fusion research (49 papers), Fusion materials and technologies (37 papers) and Superconducting Materials and Applications (17 papers). Travis Gray collaborates with scholars based in United States, Japan and China. Travis Gray's co-authors include R. Maingi, J.M. Canik, Michael Jaworski, V. Soukhanovskii, R. Kaita, A.G. McLean, D. N. Ruzic, B.P. LeBlanc, A.G. McLean and J. L. Terry and has published in prestigious journals such as Physical Review Letters, Thin Solid Films and Review of Scientific Instruments.

In The Last Decade

Travis Gray

52 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis Gray United States 16 676 517 227 196 167 54 832
O. Neubauer Germany 14 545 0.8× 363 0.7× 242 1.1× 283 1.4× 123 0.7× 91 776
J.G. Li China 17 584 0.9× 541 1.0× 244 1.1× 227 1.2× 71 0.4× 46 842
C. Lowry United Kingdom 17 859 1.3× 751 1.5× 334 1.5× 263 1.3× 172 1.0× 45 1.1k
M. Lipa France 16 584 0.9× 518 1.0× 239 1.1× 189 1.0× 119 0.7× 70 911
S. Devaux Germany 21 830 1.2× 671 1.3× 176 0.8× 226 1.2× 153 0.9× 50 951
J. Li China 12 689 1.0× 495 1.0× 365 1.6× 273 1.4× 185 1.1× 44 923
G. Strohmayer Germany 10 716 1.1× 819 1.6× 158 0.7× 146 0.7× 127 0.8× 11 1.0k
R.R. Parker United States 13 492 0.7× 318 0.6× 206 0.9× 161 0.8× 216 1.3× 64 730
E. Sytova Germany 8 514 0.8× 563 1.1× 141 0.6× 144 0.7× 65 0.4× 12 660
F. Maviglia Italy 15 495 0.7× 348 0.7× 218 1.0× 238 1.2× 78 0.5× 61 635

Countries citing papers authored by Travis Gray

Since Specialization
Citations

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

Fields of papers citing papers by Travis Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Travis Gray. A scholar is included among the top collaborators of Travis Gray 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 Travis Gray. Travis Gray 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.
Gray, Travis, et al.. (2024). HEAT simulation and IR data comparison for ST40 plasma-facing components. Nuclear Materials and Energy. 41. 101791–101791. 1 indexed citations
2.
Robinson, Martin P., Salomon Janhunen, A. Scarabosio, et al.. (2024). Experimental observations of bifurcated power decay lengths in the near Scrape-Off Layer of ST40 High Field Spherical Tokamak. Nuclear Materials and Energy. 41. 101772–101772. 6 indexed citations
3.
Gan, K.F., Travis Gray, S. J. Zweben, et al.. (2022). Impact of edge harmonic oscillations on the divertor heat flux in NSTX. Physics of Plasmas. 29(1). 2 indexed citations
4.
Reinke, M.L., et al.. (2022). 3D ion gyro-orbit heat load predictions for NSTX-U. Nuclear Fusion. 62(10). 106020–106020. 3 indexed citations
5.
Kuang, A.Q., S. Ballinger, D. Brunner, et al.. (2020). Divertor heat flux challenge and mitigation in SPARC. Journal of Plasma Physics. 86(5). 67 indexed citations
6.
Youchison, D.L., J.W. Coenen, Travis Gray, et al.. (2019). Development and Performance of Tungsten-Coated Graphitic Foam for Plasma-Facing Components. Fusion Science & Technology. 75(6). 551–557. 3 indexed citations
7.
Ono, M., R. Majeski, Y. Hirooka, et al.. (2017). Liquid lithium loop system to solve challenging technology issues for fusion power plant. Nuclear Fusion. 57(11). 116056–116056. 23 indexed citations
8.
Heidbrink, W. W., M. E. Austin, C. Collins, et al.. (2015). Synergy between fast-ion transport by core MHD and test blanket module fields in DIII-D experiments. Nuclear Fusion. 55(8). 83023–83023. 7 indexed citations
9.
Gray, Travis, J.M. Canik, R. Maingi, et al.. (2014). The effects of increasing lithium deposition on the power exhaust channel in NSTX. Nuclear Fusion. 54(2). 23001–23001. 11 indexed citations
10.
Ahn, J.-W., R. Maingi, J.M. Canik, et al.. (2014). Broadening of divertor heat flux profile with increasing number of ELM filaments in NSTX. Nuclear Fusion. 54(12). 122004–122004. 6 indexed citations
11.
Ahn, J.-W., et al.. (2014). Impact of ELM filaments on divertor heat flux dynamics in NSTX. Journal of Nuclear Materials. 463. 701–704. 4 indexed citations
12.
Abrams, T., Michael Jaworski, J. Kallman, et al.. (2013). Response of NSTX liquid lithium divertor to high heat loads. Journal of Nuclear Materials. 438. S313–S316. 9 indexed citations
13.
Eich, T., A.W. Leonard, R.A. Pitts, et al.. (2013). Efd-P(13)28 Scaling Of The Tokamak Near Scrape-Off Layer H-Mode Power Width And Implications For Iter. Zenodo (CERN European Organization for Nuclear Research).
14.
Perkins, R.J., J. Hosea, G. Krämer, et al.. (2012). High-Harmonic Fast-Wave Power Flow along Magnetic Field Lines in the Scrape-Off Layer of NSTX. Physical Review Letters. 109(4). 45001–45001. 48 indexed citations
15.
Maingi, R., S. Kaye, C.H. Skinner, et al.. (2011). Continuous Improvement of H-Mode Discharge Performance with Progressively Increasing Lithium Coatings in the National Spherical Torus Experiment. Physical Review Letters. 107(14). 145004–145004. 68 indexed citations
16.
Ahn, J.-W., J.M. Canik, R. Maingi, et al.. (2011). Characteristics of divertor heat and particle deposition with intrinsic and applied 3-D fields in NSTX H-mode plasmas. Journal of Nuclear Materials. 415(1). S918–S922. 6 indexed citations
17.
Jaworski, Maciej, Travis Gray, Marta Antonelli, et al.. (2010). Thermoelectric Magnetohydrodynamic Stirring of Liquid Metals. Physical Review Letters. 104(9). 94503–94503. 57 indexed citations
18.
Gray, Travis, Michael Jaworski, & D. N. Ruzic. (2007). Target heat loading due to fast, transient heat pulses produced from a conical θ-pinch as a prototype for benchmarking simulations of transient heat loads. Journal of Nuclear Materials. 363-365. 1032–1036. 1 indexed citations
19.
Gray, Travis, R. M. Mayo, & Mohamed Bourham. (2005). Quasi-steady state, low current behaviour of a magnetized coaxial plasma source. Plasma Sources Science and Technology. 14(4). 712–721. 2 indexed citations
20.
Majeski, R., Travis Gray, R. Kaita, et al.. (2005). Final results from the CDX-U lithium program. Bulletin of the American Physical Society. 47. 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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