Hugh Chipman
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
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- Optimal Experimental Design Methods
Papers in
-
- Statistical Methods and Inference 12
- Advanced Statistical Methods and Models 9
- Statistical Methods and Bayesian Inference 8
- Statistical Methods in Clinical Trials 3
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- Optimal Experimental Design Methods 17
- Co-authors
- Robert E. McCullochEdward I. GeorgeEric D. KolaczykMichael S. HamadaC. F. Jeff WuChangbao WuMu ZhuB. Abraham
- Journals
- Technometrics (12 papers)Journal of the American Statistical Association (5 papers)Canadian Journal of Statistics (3 papers)Journal of Computational and Graphical Statistics (2 papers)Journal of Chemical Information and Modeling (2 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Hugh Chipman
47 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 167
- Statistics and Probability 712
- Management Science and Operations Research 551
- Statistics, Probability and Uncertainty 279
- Computational Theory and Mathematics 440
- Artificial Intelligence 801
Countries citing papers authored by Hugh Chipman
This map shows the geographic impact of Hugh Chipman'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 Hugh Chipman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugh Chipman more than expected).
Fields of papers citing papers by Hugh Chipman
This network shows the impact of papers produced by Hugh Chipman. 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 Hugh Chipman. The network helps show where Hugh Chipman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hugh Chipman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 0 | |
| 2 | 2016 | 2 | |
| 3 | 2015 | 67 | |
| 4 | 2014 | 22 | |
| 5 | 2014 | 40 | |
| 6 | 2013 | 10 | |
| 7 | 2012 | 15 | |
| 8 | 2012 | 2 | |
| 9 | 2010 | 10 | |
| 10 | 2007 | 25 | |
| 11 | 2006 | 50 | |
| 12 | Bayesian Additive Regression Trees | 2006 | 123 |
| 13 | 2005 | 36 | |
| 14 | 2005 | 106 | |
| 15 | Managing Multiple Models. | 2001 | 7 |
| 16 | 1999 | 66 | |
| 17 | 1999 | 33 | |
| 18 | 1998 | 422 | |
| 19 | 1997 | 351 | |
| 20 | 1996 | 11 |
About Hugh Chipman
Hugh Chipman is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Artificial Intelligence, having authored 48 papers that have together received 2.5k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (17 papers), Statistical Methods and Inference (12 papers), Advanced Statistical Methods and Models (9 papers), Statistical Methods and Bayesian Inference (8 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Gaussian Processes and Bayesian Inference (6 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Statistics and Probability (712 citations), Management Science and Operations Research (551 citations), Statistics, Probability and Uncertainty (279 citations), Computational Theory and Mathematics (440 citations) and Artificial Intelligence (801 citations). Hugh Chipman has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Robert E. McCulloch, Edward I. George, Eric D. Kolaczyk, Michael S. Hamada, C. F. Jeff Wu, Changbao Wu, Mu Zhu, B. Abraham, K. Vijayan and Pritam Ranjan. Their work appears in journals such as Technometrics, Journal of the American Statistical Association, Canadian Journal of Statistics, Journal of Computational and Graphical Statistics and Journal of Chemical Information and Modeling.
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.