J. G. Shaw

3.6k total citations
99 papers, 2.6k citations indexed

About

J. G. Shaw 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, J. G. Shaw has authored 99 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 23 papers in Atomic and Molecular Physics, and Optics and 20 papers in Nuclear and High Energy Physics. Recurrent topics in J. G. Shaw's work include Thin-Film Transistor Technologies (26 papers), Laser-Plasma Interactions and Diagnostics (19 papers) and Laser-induced spectroscopy and plasma (14 papers). J. G. Shaw is often cited by papers focused on Thin-Film Transistor Technologies (26 papers), Laser-Plasma Interactions and Diagnostics (19 papers) and Laser-induced spectroscopy and plasma (14 papers). J. G. Shaw collaborates with scholars based in United States, United Kingdom and Canada. J. G. Shaw's co-authors include M. Hack, M. S. Shur, R. K. Follett, J. F. Myatt, D. W. Sutcliffe, D. H. Froula, Mike Hack, Arthur G. Hunt, J. P. Palastro and I.B. Maiti and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

J. G. Shaw

96 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. G. Shaw United States	29	937	643	413	386	312	99	2.6k
Shogo Nakamura Japan	24	169 0.2×	308 0.5×	194 0.5×	241 0.6×	44 0.1×	148	2.0k
D. G. McDonald United States	27	891 1.0×	243 0.4×	467 1.1×	50 0.1×	811 2.6×	62	2.7k
T. Minami Japan	18	140 0.1×	271 0.4×	128 0.3×	942 2.4×	140 0.4×	196	1.6k
Gavin Burnell United Kingdom	34	431 0.5×	675 1.0×	1.9k 4.6×	22 0.1×	806 2.6×	174	5.0k
R. Müller Germany	23	547 0.6×	205 0.3×	91 0.2×	167 0.4×	377 1.2×	66	2.2k
K. Müller Germany	30	366 0.4×	216 0.3×	106 0.3×	24 0.1×	132 0.4×	135	2.8k
George T. Reynolds United States	20	160 0.2×	79 0.1×	101 0.2×	124 0.3×	72 0.2×	58	1.8k
James S. Clegg United States	42	1.9k 2.0×	37 0.1×	172 0.4×	70 0.2×	457 1.5×	127	5.3k
Sakae Tsuda Japan	35	1.2k 1.3×	30 0.0×	135 0.3×	35 0.1×	167 0.5×	117	3.3k
Jacob F. Schaefer United States	28	913 1.0×	29 0.0×	30 0.1×	135 0.3×	393 1.3×	89	2.2k

Countries citing papers authored by J. G. Shaw

Since Specialization

Citations

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

Fields of papers citing papers by J. G. Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. G. Shaw. 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 J. G. Shaw. The network helps show where J. G. Shaw may publish in the future.

Co-authorship network of co-authors of J. G. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Shaw. A scholar is included among the top collaborators of J. G. Shaw 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 J. G. Shaw. J. G. Shaw 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

Sexton, A., et al.. (2024). Verification of a Monte Carlo binary collision model for simulating elastic and inelastic collisions in particle-in-cell simulations. Physics of Plasmas. 31(4). 3 indexed citations

Bates, J. W., R. K. Follett, J. G. Shaw, et al.. (2023). Suppressing parametric instabilities in direct-drive inertial-confinement-fusion plasmas using broadband laser light. Physics of Plasmas. 30(5). 20 indexed citations

Follett, R. K., et al.. (2021). Thresholds of absolute two-plasmon-decay and stimulated Raman scattering instabilities driven by multiple broadband lasers. Physics of Plasmas. 28(3). 36 indexed citations

Follett, R. K., J. G. Shaw, J. F. Myatt, D. H. Froula, & J. P. Palastro. (2020). Multibeam absolute stimulated Raman scattering and two-plasmon decay. Physical review. E. 101(4). 43214–43214. 14 indexed citations

Bates, J. W., R. K. Follett, J. G. Shaw, et al.. (2020). Suppressing cross-beam energy transfer with broadband lasers. High Energy Density Physics. 36. 100772–100772. 24 indexed citations

Maximov, A. V., J. G. Shaw, & J. P. Palastro. (2020). Nonlinear transmission of laser light through coronal plasma due to self-induced incoherence. Physical review. E. 102(2). 23205–23205. 1 indexed citations

Follett, R. K., et al.. (2018). Suppressing Two-Plasmon Decay with Laser Frequency Detuning. Physical Review Letters. 120(13). 135005–135005. 36 indexed citations

Follett, R. K., J. A. Delettrez, V. N. Goncharov, et al.. (2016). Two-Plasmon Decay Mitigation in Direct-Drive Inertial-Confinement-Fusion Experiments Using Multilayer Targets. Physical Review Letters. 116(15). 155002–155002. 26 indexed citations

Follett, R. K., D. H. Edgell, S. X. Hu, et al.. (2015). Direct observation of the two-plasmon-decay common plasma wave using ultraviolet Thomson scattering. Physical Review E. 91(3). 31104–31104. 18 indexed citations

10.

Shaw, J. G., et al.. (1999). Particle Simulation of Xerographic Line Images. Technical programs and proceedings. 15(1). 467–469. 1 indexed citations

11.

Wilson, J. B., Stephen O. Brennan, Jeffrey C. Allen, et al.. (1993). The Mγ chain of human fetal hemoglobin is an Aγ chain with an in vitro modification of γ141 leucine to hydroxyleucine. Journal of Chromatography B Biomedical Sciences and Applications. 617(1). 37–42. 4 indexed citations

12.

Brennan, Stephen O., et al.. (1993). Posttranslational Modification of β141 LEU Associated with the β75(E19)Leu→pro Mutation in HB Atlanta. Hemoglobin. 17(1). 1–7. 11 indexed citations

13.

Brennan, Stephen O., J. G. Shaw, John M. Allen, & Peter M. George. (1992). β141 Leu is not deleted in the unstable haemoglobin Atlanta‐Coventry but is replaced by a novel amino acid of mass 129 daltons. British Journal of Haematology. 81(1). 99–103. 18 indexed citations

14.

Hack, Mike, J. G. Shaw, & M. S. Shur. (1989). Development of Spice Models for Amorphous Silicon Thin-Film Transistors. MRS Proceedings. 149. 9 indexed citations

15.

Graybosch, Robert A., Gary M. Hellmann, J. G. Shaw, Robert E. Rhoads, & Arthur G. Hunt. (1989). Expression of a potyvirus non-structural protein in transgenic tobacco. Biochemical and Biophysical Research Communications. 160(2). 425–432. 8 indexed citations

16.

Shur, M. S., M. Hack, J. G. Shaw, & Richard J. Martin. (1989). Capacitance-voltage characteristics of amorphous silicon thin-film transistors. Journal of Applied Physics. 66(7). 3381–3385. 20 indexed citations

17.

Hack, Mike, J. G. Shaw, & M. S. Shur. (1988). Novel Amorphous Silicon Thin-Film Transistors for use in Large-Area Microelectronics. MRS Proceedings. 118. 10 indexed citations

18.

Fannin, Franklin F. & J. G. Shaw. (1983). Production of extracellular fibers by tobacco leaf epidermal protoplasts. Planta. 159(3). 282–285. 1 indexed citations

19.

Card, H.C., et al.. (1982). Carrier transport at grain boundaries in silicon. 633–639.

20.

Shaw, J. G.. (1955). Ionic Regulation in the Muscle Fibres of Carcinus Maenas : II. The Effect of Reduced Blood Concentration. Journal of Experimental Biology. 32(4). 664–680. 41 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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