D. V. Lindley
- Statistics and Probability top 0.02%
- Advanced Statistical Methods and Models 17
- Statistical Methods and Bayesian Inference 13
- Statistical Distribution Estimation and Applications 9
- Statistical Methods and Inference 9
- General Decision Sciences top 0.2%
- Decision-Making and Behavioral Economics 10
- Statistics, Probability and Uncertainty top 0.02%
- Advanced Statistical Process Monitoring 7
- Artificial Intelligence top 0.2%
- Bayesian Modeling and Causal Inference 17
- Bayesian Methods and Mixture Models 7
- Co-authors
- A. F. M. SmithLeonard J. SavageRobert SchlaiferHoward RaiffaS. KullbackA. N. KolmogorovБ. В. ГнеденкоKai Lai Chung
- Journals
- Nature (5 papers)Journal of the American Statistical Association (25 papers)Econometrica (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
D. V. Lindley
187 papers receiving 14.9k citations
Hit Papers
Peers
Comparison fields: 5 of 226
- Statistics and Probability 5.5k
- General Decision Sciences 925
- Statistics, Probability and Uncertainty 2.6k
- Management Science and Operations Research 3.7k
- Artificial Intelligence 3.8k
Countries citing papers authored by D. V. Lindley
This map shows the geographic impact of D. V. Lindley'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. V. Lindley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. V. Lindley more than expected).
Fields of papers citing papers by D. V. Lindley
This network shows the impact of papers produced by D. V. Lindley. 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. V. Lindley. The network helps show where D. V. Lindley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. V. Lindley, 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 | 2006 | 4 | |
| 2 | 2002 | 2 | |
| 3 | 2001 | 0 | |
| 4 | 2000 | 2 | |
| 5 | 1999 | 1 | |
| 6 | 1999 | 2 | |
| 7 | 1999 | 1 | |
| 8 | 1998 | 0 | |
| 9 | 1991 | 2 | |
| 10 | 1990 | 145 | |
| 11 | 1990 | 18 | |
| 12 | 1987 | 0 | |
| 13 | 1986 | 176 | |
| 14 | 1982 | 15 | |
| 15 | 1979 | 15 | |
| 16 | 1975 | 12 | |
| 17 | 1975 | 9 | |
| 18 | The Foundations of Statisticsbreakdown → | 1973 | 1108 |
| 19 | 1970 | 1 | |
| 20 | A STATISTICAL PARADOXbreakdown → | 1957 | 622 |
About D. V. Lindley
D. V. Lindley is a scholar working on General Decision Sciences, Statistics and Probability and Management Science and Operations Research, having authored 199 papers that have together received 16.9k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (17 papers), Advanced Statistical Methods and Models (17 papers), Statistical Methods and Bayesian Inference (13 papers), Decision-Making and Behavioral Economics (10 papers), Statistical Distribution Estimation and Applications (9 papers), Statistical Methods and Inference (9 papers), Bayesian Methods and Mixture Models (7 papers) and Advanced Statistical Process Monitoring (7 papers). The work is most often cited by research in Statistics and Probability (5.5k citations), General Decision Sciences (925 citations) and Statistics, Probability and Uncertainty (2.6k citations). D. V. Lindley has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include A. F. M. Smith, Leonard J. Savage, Robert Schlaifer, Howard Raiffa, S. Kullback, A. N. Kolmogorov, Б. В. Гнеденко, Kai Lai Chung, C. Radhakrishna Rao and Nozer D. Singpurwalla. Their work appears in journals such as Nature, Journal of the American Statistical Association and Econometrica.
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.