David John Nott
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
-
- Statistical Methods and Inference 43
- Statistical Methods and Bayesian Inference 42
- Markov Chains and Monte Carlo Methods 23
-
- Bayesian Methods and Mixture Models 46
- Gaussian Processes and Bayesian Inference 23
- Co-authors
- Lucy Amanda Marshall (12 shared papers)Ashish Sharma (6 shared papers)Robert Kohn (16 shared papers)Minh‐Ngoc Tran (8 shared papers)Christopher Drovandi (13 shared papers)Chenlei Leng (3 shared papers)Scott A. Sisson (9 shared papers)Anthony Y. C. Kuk (5 shared papers)
- Journals
- Journal of Computational and Graphical Statistics (19 papers)Statistics and Computing (10 papers)Computational Statistics & Data Analysis (6 papers)Journal of the American Statistical Association (6 papers)Water Resources Research (5 papers)
- Partner nations
- SingaporeAustraliaUnited States
In The Last Decade
David John Nott
106 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 142
- Statistics and Probability 839
- Water Science and Technology 388
- Environmental Engineering 336
- Artificial Intelligence 796
- Statistics, Probability and Uncertainty 122
Countries citing papers authored by David John Nott
This map shows the geographic impact of David John Nott'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 John Nott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David John Nott more than expected).
Fields of papers citing papers by David John Nott
This network shows the impact of papers produced by David John Nott. 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 John Nott. The network helps show where David John Nott may publish in the future.
Co-authors
The 25 scholars most cited alongside David John Nott, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 194 | |
| 2 | 2017 | 111 | |
| 3 | 2013 | 91 | |
| 4 | 2009 | 86 | |
| 5 | 2005 | 83 | |
| 6 | 2006 | 73 | |
| 7 | 2012 | 69 | |
| 8 | 2005 | 66 | |
| 9 | 2006 | 64 | |
| 10 | 2000 | 58 | |
| 11 | 2002 | 47 | |
| 12 | 1999 | 47 | |
| 13 | 2017 | 47 | |
| 14 | 2004 | 39 | |
| 15 | 2017 | 38 | |
| 16 | 2006 | 37 | |
| 17 | 2012 | 32 | |
| 18 | 2010 | 32 | |
| 19 | 2017 | 31 | |
| 20 | 2013 | 30 |
About David John Nott
David John Nott is a scholar working on Statistics and Probability, Artificial Intelligence, Environmental Engineering, Water Science and Technology and Statistics, Probability and Uncertainty, having authored 113 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (46 papers), Statistical Methods and Inference (43 papers), Statistical Methods and Bayesian Inference (42 papers), Markov Chains and Monte Carlo Methods (23 papers), Gaussian Processes and Bayesian Inference (23 papers), Soil Geostatistics and Mapping (8 papers), Hydrology and Watershed Management Studies (8 papers) and Hydrology and Drought Analysis (7 papers). The work is most often cited by research in Statistics and Probability (839 citations), Water Science and Technology (388 citations), Environmental Engineering (336 citations), Artificial Intelligence (796 citations) and Statistics, Probability and Uncertainty (122 citations). David John Nott has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Lucy Amanda Marshall, Ashish Sharma, Robert Kohn, Minh‐Ngoc Tran, Christopher Drovandi, Chenlei Leng, Scott A. Sisson, Anthony Y. C. Kuk, Anthony Lee and Yanan Fan. Their work appears in journals such as Journal of Computational and Graphical Statistics, Statistics and Computing, Computational Statistics & Data Analysis, Journal of the American Statistical Association and Water Resources Research.
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.