David Higdon
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
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- Probabilistic and Robust Engineering Design
Papers in
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- Statistical Methods and Inference 7
- Statistical Methods and Bayesian Inference 6
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- Probabilistic and Robust Engineering Design 9
- Co-authors
- Julian E. Besag (4 shared papers)Kerrie Lee Mengersen (3 shared papers)Peter Green (2 shared papers)Roger Ghanem (3 shared papers)Houman Owhadi (3 shared papers)Katrin Heitmann (16 shared papers)Salman Habib (14 shared papers)Jasper Alexander Vrugt (2 shared papers)
- Journals
- The Astrophysical Journal (4 papers)Bayesian Analysis (4 papers)Technometrics (4 papers)Statistical Science (4 papers)Journal of the American Statistical Association (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David Higdon
77 papers receiving 5.6k citations
David Higdon's Hit Papers
Peers
Comparison fields: 5 of 173
- Statistics and Probability 916
- Statistics, Probability and Uncertainty 659
- Environmental Engineering 979
- Astronomy and Astrophysics 971
- Instrumentation 177
Countries citing papers authored by David Higdon
This map shows the geographic impact of David Higdon'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 David Higdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Higdon more than expected).
Fields of papers citing papers by David Higdon
This network shows the impact of papers produced by David Higdon. 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 David Higdon. The network helps show where David Higdon may publish in the future.
Co-authors
The 25 scholars most cited alongside David Higdon, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling Hit paper breakdown → | 2009 | 907 |
| 2 | Bayesian Computation and Stochastic Systems Hit paper breakdown → | 1995 | 734 |
| 3 | Handbook of Uncertainty Quantification Hit paper breakdown → | 2016 | 512 |
| 4 | 1998 | 272 | |
| 5 | 2010 | 218 | |
| 6 | 1995 | 192 | |
| 7 | 1997 | 187 | |
| 8 | 1999 | 167 | |
| 9 | 2010 | 153 | |
| 10 | 2001 | 132 | |
| 11 | 1999 | 129 | |
| 12 | 1998 | 126 | |
| 13 | 2006 | 117 | |
| 14 | 2010 | 111 | |
| 15 | 2004 | 106 | |
| 16 | 2016 | 99 | |
| 17 | 2007 | 97 | |
| 18 | 2017 | 96 | |
| 19 | 2016 | 94 | |
| 20 | 2015 | 94 |
About David Higdon
David Higdon is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Astronomy and Astrophysics, Artificial Intelligence and Environmental Engineering, having authored 77 papers that have together received 5.9k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (14 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Probabilistic and Robust Engineering Design (9 papers), Galaxies: Formation, Evolution, Phenomena (9 papers), Soil Geostatistics and Mapping (8 papers), Cosmology and Gravitation Theories (7 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (6 papers). The work is most often cited by research in Statistics and Probability (916 citations), Statistics, Probability and Uncertainty (659 citations), Environmental Engineering (979 citations), Astronomy and Astrophysics (971 citations) and Instrumentation (177 citations). David Higdon has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Julian E. Besag, Kerrie Lee Mengersen, Peter Green, Roger Ghanem, Houman Owhadi, Katrin Heitmann, Salman Habib, Jasper Alexander Vrugt, James Mac Hyman and Cees G. H. Diks. Their work appears in journals such as The Astrophysical Journal, Bayesian Analysis, Technometrics, Statistical Science and Journal of the American Statistical Association.
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.