D. V. Lindley
- Statistics and Probability top 0.02%
- Artificial Intelligence top 0.2%
- Management Science and Operations Research top 0.05%
- Statistics, Probability and Uncertainty top 0.02%
- Economics and Econometrics top 0.2%
- Co-authors
- A. F. M. SmithLeonard J. SavageRobert SchlaiferHoward RaiffaS. KullbackA. N. KolmogorovБ. В. ГнеденкоKai Lai Chung
- Topics
- Bayesian Modeling and Causal Inference (17 papers)Advanced Statistical Methods and Models (17 papers)Statistical Methods and Bayesian Inference (13 papers)
- 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
- Artificial Intelligence 3.8k
- Management Science and Operations Research 3.7k
- Statistics, Probability and Uncertainty 2.6k
- Economics and Econometrics 2.2k
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 of co-authors of D. V. Lindley
This figure shows the co-authorship network connecting the top 25 collaborators of D. V. Lindley. A scholar is included among the top collaborators of D. V. Lindley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. V. Lindley. D. V. Lindley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 145 | |
| 11 | 18 | |
| 12 | 0 | |
| 13 | 176 | |
| 14 | 15 | |
| 15 | 15 | |
| 16 | 12 | |
| 17 | 9 | |
| 18 | The Foundations of Statisticsbreakdown → | 1108 |
| 19 | 1 | |
| 20 | A STATISTICAL PARADOXbreakdown → | 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) and Statistical Methods and Bayesian Inference (13 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.