G. A. Young
Impact in
- Metals and Alloys top 1%
- Hydrogen embrittlement and corrosion behaviors in metals
- Statistics and Probability top 0.5%
- 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
-
- Bayesian Methods and Mixture Models 9
- Co-authors
- John R. Scully (5 shared papers)Bernard W. Silverman (1 shared paper)Richard L. Smith (1 shared paper)Julie D. Tucker (2 shared papers)D. V. Hinkley (1 shared paper)A. C. Davison (1 shared paper)M.K. Miller (1 shared paper)Thomas J. DiCiccio (12 shared papers)
- Journals
- Biometrika (17 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (7 papers)International Statistical Review (4 papers)Statistical Science (3 papers)CORROSION (3 papers)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
G. A. Young
78 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 151
- Metals and Alloys 429
- Statistics and Probability 720
- Statistics, Probability and Uncertainty 161
- Finance 131
- Management Science and Operations Research 160
Countries citing papers authored by G. A. Young
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
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-authors
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.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 247 | |
| 2 | 1987 | 161 | |
| 3 | 2003 | 143 | |
| 4 | 2015 | 136 | |
| 5 | 1994 | 129 | |
| 6 | 2005 | 112 | |
| 7 | 2000 | 88 | |
| 8 | 1991 | 61 | |
| 9 | 1992 | 47 | |
| 10 | 1996 | 46 | |
| 11 | 1997 | 39 | |
| 12 | 1995 | 37 | |
| 13 | 1993 | 36 | |
| 14 | 2001 | 34 | |
| 15 | 1992 | 33 | |
| 16 | 2003 | 32 | |
| 17 | 2003 | 31 | |
| 18 | 2008 | 30 | |
| 19 | 2004 | 30 | |
| 20 | 2001 | 30 |
About G. A. Young
G. A. Young is a scholar working on Statistics and Probability, Artificial Intelligence, Mechanical Engineering, Statistics, Probability and Uncertainty and Materials Chemistry, 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 (429 citations), Statistics and Probability (720 citations), Statistics, Probability and Uncertainty (161 citations), Finance (131 citations) and Management Science and Operations Research (160 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, M.K. Miller, Thomas J. DiCiccio, 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 CORROSION.
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.