D. J. Best
Impact in
- Statistics and Probability top 0.2%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
Papers in
-
- Statistical Distribution Estimation and Applications 35
- Statistical Methods and Bayesian Inference 33
- Advanced Statistical Methods and Models 31
- Statistical Methods in Clinical Trials 10
- Statistical Methods and Inference 7
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- Optimal Experimental Design Methods 8
- Co-authors
- J. C. W. RaynerB. W. SilvermanDavid E. RobertsN. I. FisherOlivier ThasTerry KingDavid G. LaingP G Gipps
- Journals
- Journal of the Royal Statistical Society Series C (Applied Statistics) (6 papers)Food Quality and Preference (6 papers)Biometrics (6 papers)Journal of Sensory Studies (5 papers)Biometrika (5 papers)
- Partner nations
- AustraliaBelgiumNew Zealand
In The Last Decade
D. J. Best
117 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Statistics and Probability 1.1k
- Statistics, Probability and Uncertainty 181
- Sensory Systems 91
- Food Science 331
- Finance 169
Countries citing papers authored by D. J. Best
This map shows the geographic impact of D. J. Best'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 D. J. Best with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. Best more than expected).
Fields of papers citing papers by D. J. Best
This network shows the impact of papers produced by D. J. Best. 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 D. J. Best. The network helps show where D. J. Best may publish in the future.
Co-authors
The 25 scholars most cited alongside D. J. Best, 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 | 2014 | 5 | |
| 2 | 2012 | 6 | |
| 3 | 2011 | 5 | |
| 4 | 2010 | 5 | |
| 5 | Smooth Tests of Goodness of Fit: Using R | 2009 | 32 |
| 6 | 2008 | 6 | |
| 7 | 2007 | 9 | |
| 8 | 2006 | 3 | |
| 9 | 2005 | 17 | |
| 10 | Nonparametrics for Sensory Science: A More Informative Approach | 2005 | 8 |
| 11 | 1999 | 14 | |
| 12 | 1997 | 1 | |
| 13 | 1994 | 48 | |
| 14 | 1993 | 10 | |
| 15 | 1990 | 7 | |
| 16 | 1990 | 16 | |
| 17 | 1988 | 9 | |
| 18 | 1986 | 27 | |
| 19 | Some Easily Programmed Pseudo-Random Normal Generators. | 1979 | 3 |
| 20 | 1972 | 9 |
About D. J. Best
D. J. Best is a scholar working on Statistics and Probability, Management Science and Operations Research, Food Science, Artificial Intelligence and Sensory Systems, having authored 120 papers that have together received 2.9k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (35 papers), Statistical Methods and Bayesian Inference (33 papers), Advanced Statistical Methods and Models (31 papers), Bayesian Methods and Mixture Models (21 papers), Sensory Analysis and Statistical Methods (18 papers), Statistical Methods in Clinical Trials (10 papers), Optimal Experimental Design Methods (8 papers) and Statistical Methods and Inference (7 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Statistics, Probability and Uncertainty (181 citations), Sensory Systems (91 citations), Food Science (331 citations) and Finance (169 citations). D. J. Best has collaborated with scholars based in Australia, Belgium and New Zealand. Frequent co-authors include J. C. W. Rayner, B. W. Silverman, David E. Roberts, N. I. Fisher, Olivier Thas, Terry King, David G. Laing, P G Gipps, S Holt and Lynne Cobiac. Their work appears in journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), Food Quality and Preference, Biometrics, Journal of Sensory Studies and Biometrika.
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.