Adrian E. Raftery
Impact in
- Statistics and Probability top 0.01%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- General Decision Sciences top 0.5%
Papers in
-
- Statistical Methods and Bayesian Inference 50
- Statistical Methods and Inference 38
-
- Bayesian Methods and Mixture Models 55
- Co-authors
- Robert E. Kass (4 shared papers)Tilmann Gneiting (20 shared papers)Chris Fraley (23 shared papers)David Madigan (9 shared papers)Chris Volinsky (4 shared papers)Jennifer A. Hoeting (6 shared papers)Jeffrey D. Banfield (4 shared papers)Fadoua Balabdaoui (2 shared papers)
- Journals
- Journal of the American Statistical Association (54 papers)Monthly Weather Review (11 papers)Journal of Computational and Graphical Statistics (10 papers)Proceedings of the National Academy of Sciences (8 papers)The Annals of Applied Statistics (7 papers)
- Partner nations
- United StatesIrelandCanada
In The Last Decade
Adrian E. Raftery
271 papers receiving 52.8k citations
Adrian E. Raftery's Hit Papers
Peers
Comparison fields: 5 of 238
- Statistics and Probability 8.6k
- General Decision Sciences 662
- Artificial Intelligence 11.0k
- Management Science and Operations Research 3.9k
- Global and Planetary Change 6.4k
Countries citing papers authored by Adrian E. Raftery
This map shows the geographic impact of Adrian E. Raftery'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 Adrian E. Raftery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian E. Raftery more than expected).
Fields of papers citing papers by Adrian E. Raftery
This network shows the impact of papers produced by Adrian E. Raftery. 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 Adrian E. Raftery. The network helps show where Adrian E. Raftery may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrian E. Raftery, 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 277 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bayes Factors Hit paper breakdown → | 1995 | 9294 |
| 2 | Bayesian Model Selection in Social Research Hit paper breakdown → | 1995 | 5162 |
| 3 | Strictly Proper Scoring Rules, Prediction, and Estimation Hit paper breakdown → | 2007 | 3105 |
| 4 | Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors Hit paper breakdown → | 1999 | 2965 |
| 5 | Model-Based Clustering, Discriminant Analysis, and Density Estimation Hit paper breakdown → | 2002 | 2782 |
| 6 | mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models Hit paper breakdown → | 2016 | 1794 |
| 7 | Computing Bayes Factors by Combining Simulation and Asymptotic Approximations Hit paper breakdown → | 1997 | 1516 |
| 8 | Model-Based Gaussian and Non-Gaussian Clustering Hit paper breakdown → | 1993 | 1506 |
| 9 | Bayes Factors Hit paper breakdown → | 1995 | 1445 |
| 10 | Using Bayesian Model Averaging to Calibrate Forecast Ensembles Hit paper breakdown → | 2005 | 1415 |
| 11 | Approximate Bayesian Inference with the Weighted Likelihood Bootstrap Hit paper breakdown → | 1994 | 1127 |
| 12 | Probabilistic Forecasts, Calibration and Sharpness Hit paper breakdown → | 2007 | 1096 |
| 13 | Latent Space Approaches to Social Network Analysis Hit paper breakdown → | 2002 | 1042 |
| 14 | World population stabilization unlikely this century Hit paper breakdown → | 2014 | 921 |
| 15 | Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window Hit paper breakdown → | 1994 | 821 |
| 16 | Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation Hit paper breakdown → | 2005 | 753 |
| 17 | Maximally Maintained Inequality: Expansion, Reform, and Opportunity in Irish Education, 1921-75 Hit paper breakdown → | 1993 | 670 |
| 18 | Model-based clustering and data transformations for gene expression data Hit paper breakdown → | 2001 | 572 |
| 19 | Less than 2 °C warming by 2100 unlikely Hit paper breakdown → | 2017 | 465 |
| 20 | Model-Based Clustering for Social Networks Hit paper breakdown → | 2007 | 458 |
About Adrian E. Raftery
Adrian E. Raftery is a scholar working on Statistics and Probability, Artificial Intelligence, Demography, Management Science and Operations Research and Global and Planetary Change, having authored 277 papers that have together received 55.6k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (55 papers), Statistical Methods and Bayesian Inference (50 papers), Insurance, Mortality, Demography, Risk Management (39 papers), Statistical Methods and Inference (38 papers), demographic modeling and climate adaptation (22 papers), Meteorological Phenomena and Simulations (22 papers), Gene expression and cancer classification (21 papers) and Global Health Care Issues (19 papers). The work is most often cited by research in Statistics and Probability (8.6k citations), General Decision Sciences (662 citations), Artificial Intelligence (11.0k citations), Management Science and Operations Research (3.9k citations) and Global and Planetary Change (6.4k citations). Adrian E. Raftery has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Robert E. Kass, Tilmann Gneiting, Chris Fraley, David Madigan, Chris Volinsky, Jennifer A. Hoeting, Jeffrey D. Banfield, Fadoua Balabdaoui, Michael A. Newton and Mark S. Handcock. Their work appears in journals such as Journal of the American Statistical Association, Monthly Weather Review, Journal of Computational and Graphical Statistics, Proceedings of the National Academy of Sciences and The Annals of Applied Statistics.
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.