G. W. Young

1.0k total citations
57 papers, 774 citations indexed

About

G. W. Young is a scholar working on Materials Chemistry, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, G. W. Young has authored 57 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 17 papers in Mechanical Engineering and 14 papers in Computational Mechanics. Recurrent topics in G. W. Young's work include Solidification and crystal growth phenomena (12 papers), Aluminum Alloy Microstructure Properties (10 papers) and Fluid Dynamics and Thin Films (6 papers). G. W. Young is often cited by papers focused on Solidification and crystal growth phenomena (12 papers), Aluminum Alloy Microstructure Properties (10 papers) and Fluid Dynamics and Thin Films (6 papers). G. W. Young collaborates with scholars based in United States and New Zealand. G. W. Young's co-authors include Stephen H. Davis, C. B. Clemons, Arnon Chait, K. L. Kreider, J. Patrick Wilber, K. Brattkus, Dmitry Golovaty, Alper Buldum, D. Dane Quinn and Wiley J. Youngs and has published in prestigious journals such as Physical review. B, Condensed matter, Journal of Applied Physics and Journal of Fluid Mechanics.

In The Last Decade

G. W. Young

54 papers receiving 747 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. W. Young United States	16	386	178	173	123	83	57	774
Safa Jamali United States	21	612 1.6×	363 2.0×	105 0.6×	189 1.5×	42 0.5×	53	1.4k
R. Deam Australia	14	163 0.4×	80 0.4×	320 1.8×	230 1.9×	69 0.8×	27	844
Jiaxing Wang China	21	207 0.5×	104 0.6×	287 1.7×	421 3.4×	159 1.9×	55	1.0k
Yixin Zhang China	19	268 0.7×	168 0.9×	95 0.5×	184 1.5×	129 1.6×	70	1.1k
Atsushi Makino Japan	17	273 0.7×	316 1.8×	336 1.9×	188 1.5×	32 0.4×	79	1.0k
Jogender Singh United States	16	485 1.3×	129 0.7×	201 1.2×	135 1.1×	178 2.1×	41	848
Zhifan Zhang China	15	364 0.9×	363 2.0×	80 0.5×	74 0.6×	58 0.7×	77	916
Yun Li China	20	395 1.0×	70 0.4×	477 2.8×	109 0.9×	121 1.5×	89	1.1k
Jie Feng United States	23	257 0.7×	345 1.9×	105 0.6×	536 4.4×	216 2.6×	65	1.5k
M.R. Cleland United States	18	295 0.8×	38 0.2×	103 0.6×	179 1.5×	186 2.2×	67	1.1k

Countries citing papers authored by G. W. Young

Since Specialization

Citations

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

Fields of papers citing papers by G. W. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. W. Young

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

Golovaty, Dmitry, et al.. (2016). Species-Dependent Crevice Corrosion Modeling of Ni-625. CORROSION. 72(11). 1328–1341. 5 indexed citations

Miller, James, K. L. Kreider, Amy Milsted, et al.. (2013). Mathematical modelling of Pseudomonas aeruginosa biofilm growth and treatment in the cystic fibrosis lung. Mathematical Medicine and Biology A Journal of the IMA. 31(2). 179–204. 10 indexed citations

Miller, James, C. B. Clemons, J. Patrick Wilber, et al.. (2013). Modeling the response of a biofilm to silver-based antimicrobial. Mathematical Biosciences. 244(1). 29–39. 10 indexed citations

Miller, James, C. B. Clemons, K. L. Kreider, et al.. (2012). Nanoparticle Deposition onto Biofilms. Annals of Biomedical Engineering. 41(1). 53–67. 22 indexed citations

Miller, James, et al.. (2012). Development of the Pseudomonas aeruginosa mushroom morphology and cavity formation by iron-starvation: A mathematical modeling study. Journal of Theoretical Biology. 308. 68–78. 11 indexed citations

Leid, Jeff G., Andrew J. Ditto, Andreas Knapp, et al.. (2011). In vitro antimicrobial studies of silver carbene complexes: activity of free and nanoparticle carbene formulations against clinical isolates of pathogenic bacteria. Journal of Antimicrobial Chemotherapy. 67(1). 138–148. 119 indexed citations

Aljarrah, Mohannad, et al.. (2011). Modeling of emission properties from a spatially distributed selective emitter. Journal of Applied Physics. 109(3). 2 indexed citations

Ferrara, Michael S., et al.. (2010). A Game-Theoretic Approach to Personnel Decisions in American Football. Journal of Quantitative Analysis in Sports. 6(4). 1 indexed citations

Clemons, C. B., et al.. (2010). Continuum Plate Theory and Atomistic Modeling to Find the Flexural Rigidity of a Graphene Sheet Interacting with a Substrate. Journal of Nanotechnology. 2010. 1–8. 31 indexed citations

10.

Clemons, C. B., et al.. (2008). Modeling, simulation, and experiments of coating growth on nanofibers. Journal of Applied Physics. 103(4).

11.

Braun, M. J., et al.. (2008). An Asymptotic Expansion Approach to Modeling the Heat Transfer in a Reservoir-Extended Porous Slider Bearing. 371–373. 2 indexed citations

12.

Clemons, C. B., et al.. (2007). Solutions of two-factor models with variable interest rates. Journal of Computational and Applied Mathematics. 222(1). 30–41. 5 indexed citations

13.

Clemons, C. B., et al.. (2007). Effects of the electric field shape on nano-scale oxidation. Surface Science. 601(23). 5340–5358. 7 indexed citations

14.

Moore, Kevin C., C. B. Clemons, K. L. Kreider, & G. W. Young. (2007). Modeling and simulation of axisymmetric coating growth on nanofibers. Journal of Applied Physics. 101(6). 8 indexed citations

15.

Ralich, R., R. D. Ramsier, D. Dane Quinn, C. B. Clemons, & G. W. Young. (2002). Measuring and modeling thermal fluctuations at nanometer length scales. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(5). 57601–57601. 1 indexed citations

16.

Clemons, C. B., G. W. Young, & S. I. Hariharan. (2002). Asymptotic Solutions of a Phase-Field Model for Alloy Solidification. SIAM Journal on Applied Mathematics. 62(6). 1952–1979. 2 indexed citations

17.

Evans, R, et al.. (2002). Development of experimental techniques and an analytical model for aluminum nitriding. Surface and Coatings Technology. 157(1). 59–65. 7 indexed citations

18.

Young, G. W., et al.. (2000). An asymptotic approach to the mathematical modeling of Ohno continuous casting of cored rods. Journal of Engineering Mathematics. 38(1). 51–76. 4 indexed citations

19.

Young, G. W. & Arnon Chait. (1990). Surface tension driven heat, mass, and momentum transport in a two-dimensional float-zone. Journal of Crystal Growth. 106(2-3). 445–466. 17 indexed citations

20.

Young, G. W., et al.. (1984). Prevalence andin-vitroantimicrobial sensitivity ofBordetella bronchisepticain the nasal cavity of pigs. New Zealand Veterinary Journal. 32(7). 111–114. 4 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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