Alan E. Gelfand
Impact in
- Statistics and Probability top 0.01%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Ecological Modeling top 0.5%
- Species Distribution and Climate Change
Papers in
-
- Statistical Methods and Bayesian Inference 71
- Statistical Methods and Inference 50
-
- Bayesian Methods and Mixture Models 60
- Co-authors
- A. F. M. Smith (12 shared papers)Sudipto Banerjee (25 shared papers)Bradley P. Carlin (29 shared papers)Dipak K. Dey (11 shared papers)Andrew O. Finley (7 shared papers)Huiyan Sang (5 shared papers)Sujit K. Sahu (12 shared papers)David M. Holland (15 shared papers)
- Journals
- Journal of the American Statistical Association (47 papers)Journal of Agricultural Biological and Environmental Statistics (18 papers)Spatial Statistics (13 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (13 papers)Environmetrics (11 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Alan E. Gelfand
306 papers receiving 22.7k citations
Alan E. Gelfand's Hit Papers
Peers
Comparison fields: 5 of 216
- Statistics and Probability 8.3k
- Ecological Modeling 1.1k
- Environmental Engineering 3.7k
- Economics and Econometrics 5.3k
- Artificial Intelligence 6.0k
Countries citing papers authored by Alan E. Gelfand
This map shows the geographic impact of Alan E. Gelfand'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 Alan E. Gelfand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan E. Gelfand more than expected).
Fields of papers citing papers by Alan E. Gelfand
This network shows the impact of papers produced by Alan E. Gelfand. 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 Alan E. Gelfand. The network helps show where Alan E. Gelfand may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan E. Gelfand, 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 318 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sampling-Based Approaches to Calculating Marginal Densities Hit paper breakdown → | 1990 | 4602 |
| 2 | Hierarchical Modeling and Analysis for Spatial Data Hit paper breakdown → | 2003 | 1266 |
| 3 | Hierarchical Modeling and Analysis for Spatial Data Hit paper breakdown → | 2014 | 1159 |
| 4 | Sampling-Based Approaches to Calculating Marginal Densities Hit paper breakdown → | 1990 | 1022 |
| 5 | Bayesian Model Choice: Asymptotics and Exact Calculations Hit paper breakdown → | 1994 | 850 |
| 6 | Illustration of Bayesian Inference in Normal Data Models Using Gibbs Sampling Hit paper breakdown → | 1990 | 656 |
| 7 | Gaussian Predictive Process Models for Large Spatial Data Sets Hit paper breakdown → | 2008 | 624 |
| 8 | Bayesian Statistics without Tears: A Sampling–Resampling Perspective Hit paper breakdown → | 1992 | 613 |
| 9 | Handbook of Spatial Statistics Hit paper breakdown → | 2010 | 571 |
| 10 | Model choice: a minimum posterior predictive loss approach Hit paper breakdown → | 1998 | 537 |
| 11 | 2003 | 412 | |
| 12 | 1992 | 401 | |
| 13 | 1997 | 367 | |
| 14 | Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets Hit paper breakdown → | 2015 | 356 |
| 15 | 2003 | 312 | |
| 16 | 1992 | 303 | |
| 17 | 2006 | 296 | |
| 18 | 1992 | 267 | |
| 19 | 1994 | 227 | |
| 20 | 2004 | 221 |
About Alan E. Gelfand
Alan E. Gelfand is a scholar working on Statistics and Probability, Artificial Intelligence, Economics and Econometrics, Environmental Engineering and Global and Planetary Change, having authored 318 papers that have together received 24.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (71 papers), Soil Geostatistics and Mapping (61 papers), Bayesian Methods and Mixture Models (60 papers), Spatial and Panel Data Analysis (56 papers), Statistical Methods and Inference (50 papers), Economic and Environmental Valuation (39 papers), Ecology and Vegetation Dynamics Studies (31 papers) and Species Distribution and Climate Change (22 papers). The work is most often cited by research in Statistics and Probability (8.3k citations), Ecological Modeling (1.1k citations), Environmental Engineering (3.7k citations), Economics and Econometrics (5.3k citations) and Artificial Intelligence (6.0k citations). Alan E. Gelfand has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include A. F. M. Smith, Sudipto Banerjee, Bradley P. Carlin, Dipak K. Dey, Andrew O. Finley, Huiyan Sang, Sujit K. Sahu, David M. Holland, Amy Racine-Poon and Athanasios Kottas. Their work appears in journals such as Journal of the American Statistical Association, Journal of Agricultural Biological and Environmental Statistics, Spatial Statistics, Journal of the Royal Statistical Society Series C (Applied Statistics) and Environmetrics.
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.