L.R. Baylor

2.1k total citations
29 papers, 513 citations indexed

About

L.R. Baylor is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, L.R. Baylor has authored 29 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nuclear and High Energy Physics, 23 papers in Materials Chemistry and 16 papers in Biomedical Engineering. Recurrent topics in L.R. Baylor's work include Magnetic confinement fusion research (26 papers), Fusion materials and technologies (22 papers) and Superconducting Materials and Applications (16 papers). L.R. Baylor is often cited by papers focused on Magnetic confinement fusion research (26 papers), Fusion materials and technologies (22 papers) and Superconducting Materials and Applications (16 papers). L.R. Baylor collaborates with scholars based in United States, France and United Kingdom. L.R. Baylor's co-authors include P.B. Parks, T.C. Jernigan, J. B. O. Caughman, S. K. Combs, D. A. Rasmussen, S. Maruyama, C. R. Foust, S. J. Meitner, D. Shiraki and W. A. Houlberg and has published in prestigious journals such as Physical Review Letters, Review of Scientific Instruments and Scientific American.

In The Last Decade

L.R. Baylor

29 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.R. Baylor United States 13 479 332 173 155 59 29 513
D. T. Fehling United States 12 383 0.8× 249 0.8× 171 1.0× 123 0.8× 44 0.7× 43 440
S. Maruyama France 12 421 0.9× 316 1.0× 185 1.1× 164 1.1× 37 0.6× 37 466
J. Bucalossi France 12 434 0.9× 392 1.2× 144 0.8× 113 0.7× 48 0.8× 48 548
J.P. Gunn France 14 394 0.8× 308 0.9× 157 0.9× 89 0.6× 78 1.3× 39 489
Auna Moser United States 15 457 1.0× 285 0.9× 106 0.6× 105 0.7× 154 2.6× 35 517
M.-L. Mayoral Germany 8 511 1.1× 311 0.9× 169 1.0× 136 0.9× 161 2.7× 22 599
ITER Joint Central Team Germany 8 306 0.6× 195 0.6× 113 0.7× 130 0.8× 117 2.0× 12 419
F. Koechl United Kingdom 13 517 1.1× 329 1.0× 158 0.9× 161 1.0× 140 2.4× 51 548
G. Sips United Kingdom 9 360 0.8× 292 0.9× 107 0.6× 80 0.5× 80 1.4× 17 441
W. P. West United States 8 404 0.8× 226 0.7× 121 0.7× 113 0.7× 165 2.8× 39 460

Countries citing papers authored by L.R. Baylor

Since Specialization
Citations

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

Fields of papers citing papers by L.R. Baylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.R. Baylor. 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 L.R. Baylor. The network helps show where L.R. Baylor may publish in the future.

Co-authorship network of co-authors of L.R. Baylor

This figure shows the co-authorship network connecting the top 25 collaborators of L.R. Baylor. A scholar is included among the top collaborators of L.R. Baylor 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 L.R. Baylor. L.R. Baylor 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.
Baylor, L.R., S. J. Meitner, T. E. Gebhart, et al.. (2021). Design and performance of shattered pellet injection systems for JET and KSTAR disruption mitigation research in support of ITER *. Nuclear Fusion. 61(10). 106001–106001. 25 indexed citations
2.
Hollmann, E.M., D. Shiraki, L.R. Baylor, et al.. (2020). Observation of non-thermal electron formation during the thermal quench of shattered pellet injection shutdowns in DIII-D. Nuclear Fusion. 61(1). 16023–16023. 9 indexed citations
3.
Herfindal, J. L., D. Shiraki, L.R. Baylor, et al.. (2019). Injection of multiple shattered pellets for disruption mitigation in DIII-D. Nuclear Fusion. 59(10). 106034–106034. 29 indexed citations
4.
Baylor, L.R. & S. J. Meitner. (2017). Tritium Aspects of Fueling and Exhaust Pumping in Magnetic Fusion Energy. Fusion Science & Technology. 71(3). 256–260. 1 indexed citations
5.
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
6.
Futatani, S., G. T. A. Huijsmans, A. Loarte, et al.. (2014). Non-linear MHD modelling of ELM triggering by pellet injection in DIII-D and implications for ITER. Nuclear Fusion. 54(7). 73008–73008. 46 indexed citations
7.
Wang, ‪Zhehui, S. K. Combs, L.R. Baylor, et al.. (2014). Fast imaging of intact and shattered cryogenic neon pellets. Review of Scientific Instruments. 85(11). 11E805–11E805. 2 indexed citations
8.
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
9.
Maruyama, S., R.A. Pitts, M. Sugihara, et al.. (2010). ITER fuelling system design and challenges. 2 indexed citations
10.
Baylor, L.R., P.B. Parks, T.C. Jernigan, et al.. (2007). Pellet fuelling and control of burning plasmas in ITER. Nuclear Fusion. 47(5). 443–448. 90 indexed citations
11.
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
12.
Parks, P.B. & L.R. Baylor. (2005). Effect of Parallel Flows and Toroidicity on Cross-Field Transport of Pellet Ablation Matter in Tokamak Plasmas. Physical Review Letters. 94(12). 125002–125002. 42 indexed citations
13.
Jernigan, T. C., L.R. Baylor, S. K. Combs, et al.. (2005). Massive Gas Injection Systems for Disruption Mitigation on the DIII-D Tokamak. 73. 1–3. 7 indexed citations
14.
Baylor, L.R., T.C. Jernigan, R. J. Colchin, et al.. (2003). Comparison of fueling efficiency from different fueling locations on DIII-D. Journal of Nuclear Materials. 313-316. 530–533. 21 indexed citations
15.
Milora, S. L., M.J. Gouge, P.W. Fisher, et al.. (2002). Design of a tritium pellet injector for TFTR. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1. 716–720. 2 indexed citations
16.
Baylor, L.R., T.C. Jernigan, C.J. Lasnier, R. Maingi, & M. A. Mahdavi. (1999). Fueling efficiency of pellet injection on DIII-D. Journal of Nuclear Materials. 266-269. 457–461. 18 indexed citations
17.
Baylor, L.R., T. C. Jernigan, W. A. Houlberg, et al.. (1995). Pellet injection into H-mode plasmas on DIII-D. University of North Texas Digital Library (University of North Texas). 2 indexed citations
18.
Houlberg, W. A., S.E. Attenberger, L.R. Baylor, et al.. (1992). Pellet penetration experiments on JET. Nuclear Fusion. 32(11). 1951–1965. 26 indexed citations
19.
Uckan, T., L.R. Baylor, T. S. Bigelow, et al.. (1991). Biasing experiments on the ATF torsatron. University of North Texas Digital Library (University of North Texas). 1 indexed citations
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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