Julian Besag
- Statistics and Probability top 0.05%
- Statistical Methods and Inference 17
- Statistical Methods and Bayesian Inference 7
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- Medical Image Segmentation Techniques 5
- Environmental Engineering top 0.5%
- Soil Geostatistics and Mapping 18
- Economics and Econometrics top 0.2%
- Spatial and Panel Data Analysis 9
- Artificial Intelligence top 0.2%
- Bayesian Methods and Mixture Models 8
- Geochemistry and Geologic Mapping 4
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- Theoretical and Computational Physics 5
- Co-authors
- Jeremy YorkDavid HigdonCharles KooperbergPeter J. DigglePeter J. GreenKerrie MengersenJames NewellPeter Green
- Journals
- Biometrika (16 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (7 papers)Journal of Applied Probability (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Julian Besag
60 papers receiving 15.0k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Statistics and Probability 3.6k
- Computer Vision and Pattern Recognition 3.0k
- Environmental Engineering 1.7k
- Economics and Econometrics 3.2k
- Artificial Intelligence 3.5k
Countries citing papers authored by Julian Besag
This map shows the geographic impact of Julian Besag'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 Julian Besag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julian Besag more than expected).
Fields of papers citing papers by Julian Besag
This network shows the impact of papers produced by Julian Besag. 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 Julian Besag. The network helps show where Julian Besag may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julian Besag, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 22 | |
| 2 | What is a statistical model? Discussion | 2002 | 12 |
| 3 | Markov Chain Monte Carlo for Statistical Inference | 2002 | 46 |
| 4 | 2001 | 22 | |
| 5 | 2000 | 12 | |
| 6 | 1998 | 191 | |
| 7 | 1998 | 91 | |
| 8 | 1997 | 1 | |
| 9 | Bayesian compoutation and stochastic systems | 1995 | 30 |
| 10 | Spatial statistics and Bayesian computation (with discussion) | 1993 | 89 |
| 11 | 1993 | 106 | |
| 12 | Rejoinder (Bayesian image restoration,with two applications in spatial statistics) | 1991 | 15 |
| 13 | Bayesian image restoration, with two applications in spatial statisticsbreakdown → | 1991 | 2993 |
| 14 | 1991 | 13 | |
| 15 | 1989 | 2 | |
| 16 | 1988 | 25 | |
| 17 | On the Statistical Analysis of Dirty Picturesbreakdown → | 1986 | 2838 |
| 18 | 1981 | 10 | |
| 19 | 1976 | 170 | |
| 20 | 1972 | 203 |
About Julian Besag
Julian Besag is a scholar working on Statistics and Probability, Environmental Engineering, Mathematical Physics, Transportation and Economics and Econometrics, having authored 60 papers that have together received 16.1k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (18 papers), Statistical Methods and Inference (17 papers), Spatial and Panel Data Analysis (9 papers), Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Bayesian Inference (7 papers), Medical Image Segmentation Techniques (5 papers), Theoretical and Computational Physics (5 papers) and Geochemistry and Geologic Mapping (4 papers). The work is most often cited by research in Statistics and Probability (3.6k citations), Computer Vision and Pattern Recognition (3.0k citations), Environmental Engineering (1.7k citations), Economics and Econometrics (3.2k citations) and Artificial Intelligence (3.5k citations). Julian Besag has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Jeremy York, David Higdon, Charles Kooperberg, Peter J. Diggle, Peter J. Green, Kerrie Mengersen, James Newell, Peter Green, Peter Clifford and Leonhard Knorr‐Held. Their work appears in journals such as Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of Applied Probability, Annals of the Institute of Statistical Mathematics and Biometrics.
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.