S. K. Combs

3.0k total citations
129 papers, 2.0k citations indexed

About

S. K. Combs is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, S. K. Combs has authored 129 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Nuclear and High Energy Physics, 77 papers in Materials Chemistry and 55 papers in Biomedical Engineering. Recurrent topics in S. K. Combs's work include Magnetic confinement fusion research (106 papers), Fusion materials and technologies (73 papers) and Superconducting Materials and Applications (55 papers). S. K. Combs is often cited by papers focused on Magnetic confinement fusion research (106 papers), Fusion materials and technologies (73 papers) and Superconducting Materials and Applications (55 papers). S. K. Combs collaborates with scholars based in United States, France and Italy. S. K. Combs's co-authors include C. R. Foust, S. L. Milora, L. R. Baylor, P.B. Parks, S. J. Meitner, D. A. Rasmussen, T. C. Jernigan, M.J. Gouge, S. Maruyama and T.C. Jernigan and has published in prestigious journals such as Physical Review Letters, Review of Scientific Instruments and Scientific American.

In The Last Decade

S. K. Combs

122 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. K. Combs United States	24	1.7k	1.2k	746	609	242	129	2.0k
P. Barabaschi France	22	1.4k 0.8×	959 0.8×	777 1.0×	951 1.6×	210 0.9×	77	2.0k
V. Riccardo United Kingdom	25	1.7k 1.0×	1.3k 1.1×	403 0.5×	677 1.1×	406 1.7×	89	2.0k
R. Wenninger Germany	20	1.2k 0.7×	1.3k 1.1×	655 0.9×	406 0.7×	202 0.8×	58	1.8k
S. Wiesen Germany	24	1.9k 1.1×	1.7k 1.5×	478 0.6×	526 0.9×	376 1.6×	111	2.3k
G. Janeschitz Germany	23	1.4k 0.8×	1.4k 1.2×	374 0.5×	464 0.8×	386 1.6×	101	2.0k
I. Veselova Russia	17	1.5k 0.8×	1.2k 1.1×	392 0.5×	390 0.6×	314 1.3×	52	1.7k
F. Reimold Germany	23	1.7k 1.0×	1.3k 1.2×	369 0.5×	473 0.8×	368 1.5×	90	1.8k
S. L. Milora United States	23	1.2k 0.7×	685 0.6×	589 0.8×	309 0.5×	202 0.8×	77	1.5k
G. Pautasso Germany	22	1.4k 0.8×	817 0.7×	354 0.5×	519 0.9×	407 1.7×	89	1.6k
J. Bucalossi France	20	1.1k 0.6×	852 0.7×	381 0.5×	312 0.5×	240 1.0×	98	1.4k

Countries citing papers authored by S. K. Combs

Since Specialization

Citations

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

Fields of papers citing papers by S. K. Combs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. K. Combs

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

All Works

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20 of 20 papers shown

Frattolillo, A., L. R. Baylor, F. Bombarda, et al.. (2019). Addressing the feasibility of inboard direct-line injection of high-speed pellets, for core fueling of DEMO. Fusion Engineering and Design. 146. 2426–2429. 4 indexed citations

Combs, S. K., J.R. Reed, L. R. Baylor, et al.. (2017). Gas Gun Model and Comparison to Experimental Performance of Pipe Guns Operating with Light Propellant Gases and Large Cryogenic Pellets. Fusion Science & Technology. 1–12. 1 indexed citations

Baylor, L.R., J. Carmichael, S. K. Combs, et al.. (2015). Disruption Mitigation System Developments and Design for ITER. Fusion Science & Technology. 68(2). 211–215. 36 indexed citations

Baylor, L. R., N. Commaux, T. C. Jernigan, et al.. (2013). Reduction of Edge-Localized Mode Intensity Using High-Repetition-Rate Pellet Injection in TokamakH-Mode Plasmas. Physical Review Letters. 110(24). 245001–245001. 82 indexed citations

Combs, S. K., C. R. Foust, J. B. O. Caughman, et al.. (2013). Results from Laboratory Testing of a New Four-Barrel Pellet Injector for the TJ-II Stellarator. Fusion Science & Technology. 64(3). 513–520. 12 indexed citations

Combs, S. K., Jacob Leachman, S. J. Meitner, et al.. (2011). A Technique for Producing Large Dual-Layer Pellets in Support of Disruption Mitigation Experiments. Fusion Science & Technology. 60(2). 473–479. 11 indexed citations

Baylor, L. R., S. K. Combs, S. J. Meitner, et al.. (2010). High Speed Digital Holography for Density and Fluctuation Measurements. Review of Scientific Instruments. 81(10). 1 indexed citations

Combs, S. K., S. J. Meitner, L. R. Baylor, et al.. (2010). Alternative Techniques for Injecting Massive Quantities of Gas for Plasma-Disruption Mitigation. IEEE Transactions on Plasma Science. 38(3). 400–405. 36 indexed citations

Baylor, L. R., S. K. Combs, T. C. Jernigan, et al.. (2010). Shattered Pellet Disruption Mitigation Technology Development for ITER. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

10.

Jernigan, T. C., L. R. Baylor, S. K. Combs, et al.. (2009). Large, Shattered Pellets for Disruption Mitigation in DIII-D. Bulletin of the American Physical Society. 51. 1 indexed citations

11.

Meitner, S. J., L. R. Baylor, J.J. Carbajo, et al.. (2009). Development of a Twin-Screw D₂Extruder for the ITER Pellet Injection System. Fusion Science & Technology. 56(1). 52–56. 24 indexed citations

12.

Baylor, L. R., T. C. Jernigan, P.B. Parks, et al.. (2007). Comparison of deuterium pellet injection from different locations on the DIII-D tokamak. Nuclear Fusion. 47(11). 1598–1606. 52 indexed citations

13.

Jernigan, T.C., L.R. Baylor, S. K. Combs, et al.. (2006). New Valve for Massive Gas Injection in DIII-D. APS Division of Plasma Physics Meeting Abstracts. 48. 1 indexed citations

14.

Wyman, Max, B. E. Chapman, S. C. Prager, et al.. (2005). Density Control and Limit(s) in MST. Bulletin of the American Physical Society. 47.

15.

Whyte, D.G., T. C. Jernigan, David Humphreys, et al.. (2002). Mitigation of Tokamak Disruptions Using High-Pressure Gas Injection. Physical Review Letters. 89(5). 55001–55001. 112 indexed citations

16.

Combs, S. K., L. R. Baylor, P.W. Fisher, et al.. (2001). ORNL mock-up tests of inside launch pellet injection on JET and LHD. Fusion Engineering and Design. 58-59. 343–347. 24 indexed citations

17.

Anderson, P.M., L. R. Baylor, S. K. Combs, et al.. (1999). New Pellet Injection Schemes on DIII-D. University of North Texas Digital Library (University of North Texas). 5 indexed citations

18.

Gouge, M.J., et al.. (1992). Pellet fueling system for ITER. Fusion Engineering and Design. 19(1). 53–72. 22 indexed citations

19.

Combs, S. K., C. R. Foust, D. T. Fehling, M.J. Gouge, & S. L. Milora. (1991). Repetitive, small-bore two-stage light gas gun. University of North Texas Digital Library (University of North Texas).

20.

Milora, S. L., et al.. (1987). Design of a repeating pneumatic pellet injector for the Joint European Torus. Scientific American. 263(5). 26–26. 3 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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