G. A. Young

3.3k citations
84 papers · 2.0k indexed · h-index 24

Impact in

    • Hydrogen embrittlement and corrosion behaviors in metals
    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference

Papers in

    • Statistical Methods and Inference 37
    • Statistical Methods and Bayesian Inference 22
    • Advanced Statistical Methods and Models 17
    • Hydrogen embrittlement and corrosion behaviors in metals 7

G. A. Young

78 papers receiving 1.9k citations

Peers

G. A. Young
Comparison fields: 5 of 156
  • Metals and Alloys 424
  • Statistics and Probability 719
  • Statistics, Probability and Uncertainty 160
  • Finance 132
  • Management Science and Operations Research 159
Replace Tareq Saeed with:
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V. Černý Slovakia
W. R. Buckland United Kingdom
Edwin L. Crow United States
Thomas Taimre Australia
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L. R. Shenton United States
I. D. Hill United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by G. A. Young

Since Specialization
Citations

This map shows the geographic impact of G. A. 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. A. 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. A. Young more than expected).

Fields of papers citing papers by G. A. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside G. A. Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. A. Young Line = papers co-authored together G. A. Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20194
2 20161
3 201524
4
ITERATING THE m OUT OF n BOOTSTRAP IN NONREGULAR SMOOTH FUNCTION MODELS
20054
5 2005113
6 200331
7 200130
8 200135
9 19977
10 199646
11 19944
12 19912
13 199013
14
Earthquake vibratory ground-motion intensity attenuation
19801
15
Proceedings of the Conference on the Environmental Effects of Explosives and Explosions (2nd) 13-14 October 1976
19771
16
Proceedings of the First Conference on the Environmental Effects of Explosives and Explosions (May 30-31, 1973)
19741
17 19642
18
Epizootiology of bovine myxovirus parainfluenza 3 (SF-4) in Nebraska cattle as determined by antibody titers.
19638
19
A Lightning Strike of an Underwater Explosion Plume
19621
20 196110

About G. A. Young

G. A. Young is a scholar working on Statistics and Probability, Metals and Alloys, Statistics, Probability and Uncertainty, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (37 papers), Statistical Methods and Bayesian Inference (22 papers), Advanced Statistical Methods and Models (17 papers), Bayesian Methods and Mixture Models (9 papers), Hydrogen embrittlement and corrosion behaviors in metals (7 papers), Probabilistic and Robust Engineering Design (6 papers), Viral gastroenteritis research and epidemiology (4 papers) and High Temperature Alloys and Creep (4 papers). The work is most often cited by research in Metals and Alloys (424 citations), Statistics and Probability (719 citations), Statistics, Probability and Uncertainty (160 citations), Finance (132 citations) and Management Science and Operations Research (159 citations). G. A. Young has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include John R. Scully, Bernard W. Silverman, Richard L. Smith, Julie D. Tucker, D. V. Hinkley, A. C. Davison, Thomas J. DiCiccio, M.K. Miller, Daniela De Angelis and H. E. Daniels. Their work appears in journals such as Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology), International Statistical Review, Statistical Science and Acta Materialia.

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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