Alan E. Gelfand

37.2k citations
314 papers · 23.8k indexed · 11 hit papers · h-index 63

Alan E. Gelfand

302 papers receiving 22.3k citations

Hit Papers

Hierarchical Nearest-Neig...339199020262002201410002.0k3.0k4.0k

Peers

Alan E. Gelfand
Comparison fields: 5 of 219
  • Statistics and Probability 8.3k
  • Ecological Modeling 1.1k
  • Environmental Engineering 3.6k
  • Economics and Econometrics 5.3k
  • Artificial Intelligence 5.9k
Replace Adrian E. Raftery with:
Adrian E. Raftery United States
Noel Cressie United States
David J. Spiegelhalter United Kingdom
Hirotugu Akaike Japan
B. D. Ripley United Kingdom
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Håvard Rue Norway
Richard A. Olshen United States
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Citations per field
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Citations per year

Countries citing papers authored by Alan E. Gelfand

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Alan E. Gelfand Line = papers co-authored together Alan E. Gelfand links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 20240
4 20235
5 20230
6 20230
7 20231
8 20223
9 20228
10 20218
11 20183
12 201710
13
Combining monitoring data and computer model output in assessing environmental exposure
20104
14
Suppression and failures in sensor networks: a Bayesian approach
200738
15
Prediction, interpolation and regression for spatially misaligned data
200226
16
On computation using gibbs sampling for multilevel models.
20016
17 199788
18 1992303
19 199144
20 197522

About Alan E. Gelfand

Alan E. Gelfand is a scholar working on Statistics and Probability, Environmental Engineering and Ecological Modeling, having authored 314 papers that have together received 23.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (71 papers), Soil Geostatistics and Mapping (60 papers), Bayesian Methods and Mixture Models (59 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 (21 papers). The work is most often cited by research in Statistics and Probability (8.3k citations), Ecological Modeling (1.1k citations) and Environmental Engineering (3.6k 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.

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