D. M. Titterington
- Artificial Intelligence top 0.1%
- Statistics and Probability top 0.05%
- Computer Vision and Pattern Recognition top 1%
- Management Science and Operations Research top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Co-authors
- A. F. M. SmithUdi MakovBruce G. LindsayJim KayPeter HallCaroline RobertFlorence ForbesGilles Celeux
- Topics
- Bayesian Methods and Mixture Models (49 papers)Statistical Methods and Inference (45 papers)Statistical Methods and Bayesian Inference (30 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
D. M. Titterington
169 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 217
- Artificial Intelligence 4.4k
- Statistics and Probability 3.9k
- Computer Vision and Pattern Recognition 1.2k
- Management Science and Operations Research 1.0k
- Statistics, Probability and Uncertainty 730
Countries citing papers authored by D. M. Titterington
This map shows the geographic impact of D. M. Titterington'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. M. Titterington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. M. Titterington more than expected).
Fields of papers citing papers by D. M. Titterington
This network shows the impact of papers produced by D. M. Titterington. 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. M. Titterington. The network helps show where D. M. Titterington may publish in the future.
Co-authorship network of co-authors of D. M. Titterington
This figure shows the co-authorship network connecting the top 25 collaborators of D. M. Titterington. A scholar is included among the top collaborators of D. M. Titterington 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. M. Titterington. D. M. Titterington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 82 | |
| 3 | Inadequacy of interval estimates corresponding to variational Bayesian approximations | 45 |
| 4 | Convergence and Asymptotic Normality of Variational Bayesian Approximations for Expon. | 1 |
| 5 | 34 | |
| 6 | Statistics and neural networks: advances at the interface | 38 |
| 7 | The exploration of new methods for learning in binary Boltzmann machines. | 4 |
| 8 | 24 | |
| 9 | On a Modification to the Mean Field EM Algorithm in Factorial Learning | 3 |
| 10 | Complex stochastic systems and engineering : based on the proceedings of a Conference on Complex Stochastic Systems and Engineering, organized by the Institute of Mathematics and Its Applications and the Royal Statistical Society, and held at the University of Leeds in September 1993 | 1 |
| 11 | 2 | |
| 12 | 56 | |
| 13 | 137 | |
| 14 | 28 | |
| 15 | 96 | |
| 16 | 31 | |
| 17 | 173 | |
| 18 | 83 | |
| 19 | The statistical Analysis of compositional data - Aitchison, J. . | 1 |
| 20 | 32 |
About D. M. Titterington
D. M. Titterington is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 173 papers that have together received 11.1k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (49 papers), Statistical Methods and Inference (45 papers) and Statistical Methods and Bayesian Inference (30 papers). The work is most often cited by research in Statistics and Probability (3.9k citations), Artificial Intelligence (4.4k citations) and Statistics, Probability and Uncertainty (730 citations). D. M. Titterington has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include A. F. M. Smith, Udi Makov, Bruce G. Lindsay, Jim Kay, Peter Hall, Caroline Robert, Florence Forbes, Gilles Celeux, Iain M. Johnstone and Christian P. Robert. Their work appears in journals such as Nature, The Lancet and Journal of the American Statistical Association.
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.