David Higdon
Impact in
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- Probabilistic and Robust Engineering Design
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
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- Gaussian Processes and Bayesian Inference 13
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- Galaxies: Formation, Evolution, Phenomena 9
- Cosmology and Gravitation Theories 7
- Co-authors
- Julian Besag (4 shared papers)Houman Owhadi (2 shared papers)Roger Ghanem (2 shared papers)Kerrie Mengersen (3 shared papers)Peter Green (2 shared papers)Katrin Heitmann (15 shared papers)Salman Habib (13 shared papers)Jasper A. Vrugt (1 shared paper)
- Journals
- Statistical Science (4 papers)The Astrophysical Journal (4 papers)Journal of the American Statistical Association (4 papers)Bayesian Analysis (4 papers)Physical Review Letters (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David Higdon
71 papers receiving 5.2k citations
David Higdon's Hit Papers
Peers
Comparison fields: 5 of 172
- Statistics, Probability and Uncertainty 687
- Statistics and Probability 791
- Environmental Engineering 847
- Astronomy and Astrophysics 904
- Instrumentation 155
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 71 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 | 892 |
| 2 | Bayesian Computation and Stochastic Systems Hit paper breakdown → | 1995 | 669 |
| 3 | Handbook of Uncertainty Quantification Hit paper breakdown → | 2016 | 489 |
| 4 | 1998 | 252 | |
| 5 | 2017 | 224 | |
| 6 | 2010 | 208 | |
| 7 | 1995 | 180 | |
| 8 | 2010 | 145 | |
| 9 | 1997 | 135 | |
| 10 | 2001 | 131 | |
| 11 | 1999 | 120 | |
| 12 | 1998 | 114 | |
| 13 | 2006 | 107 | |
| 14 | 2010 | 101 | |
| 15 | 2004 | 100 | |
| 16 | 2015 | 91 | |
| 17 | 2017 | 89 | |
| 18 | 2007 | 88 | |
| 19 | 1997 | 85 | |
| 20 | 2014 | 84 |
About David Higdon
David Higdon is a scholar working on Artificial Intelligence, Astronomy and Astrophysics, Statistics and Probability, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 71 papers that have together received 5.4k indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (13 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Galaxies: Formation, Evolution, Phenomena (9 papers), Cosmology and Gravitation Theories (7 papers), Statistical Methods and Inference (7 papers), Probabilistic and Robust Engineering Design (7 papers), Soil Geostatistics and Mapping (6 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (687 citations), Statistics and Probability (791 citations), Environmental Engineering (847 citations), Astronomy and Astrophysics (904 citations) and Instrumentation (155 citations). David Higdon has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Julian Besag, Houman Owhadi, Roger Ghanem, Kerrie Mengersen, Peter Green, Katrin Heitmann, Salman Habib, Jasper A. Vrugt, Cees Diks and B.A. Robinson. Their work appears in journals such as Statistical Science, The Astrophysical Journal, Journal of the American Statistical Association, Bayesian Analysis and Physical Review Letters.
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.