Andy Pole
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
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- Advanced Statistical Process Monitoring
Papers in
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- Bayesian Modeling and Causal Inference 1
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- Statistical Distribution Estimation and Applications 1
- Statistical Methods and Inference 1
- Co-authors
- Jeff Harrison (3 shared papers)Mike West (4 shared papers)Mike West (1 shared paper)Julie Harrison (3 shared papers)M. West (3 shared papers)Neville Davies (1 shared paper)A. F. M. Smith (1 shared paper)Susan A. Gelman (1 shared paper)
- Journals
- Journal of Time Series Analysis (1 paper)Journal of the Royal Statistical Society Series A (Statistics in Society) (1 paper)Journal of Forecasting (1 paper)Journal of Econometrics (1 paper)Medical Entomology and Zoology (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Andy Pole
9 papers receiving 418 citations
Peers
Comparison fields: 5 of 92
- Statistics and Probability 91
- Statistics, Probability and Uncertainty 46
- Management Science and Operations Research 83
- Finance 42
- General Decision Sciences 7
Countries citing papers authored by Andy Pole
This map shows the geographic impact of Andy Pole'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 Andy Pole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Pole more than expected).
Fields of papers citing papers by Andy Pole
This network shows the impact of papers produced by Andy Pole. 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 Andy Pole. The network helps show where Andy Pole may publish in the future.
Co-authors
The 15 scholars most cited alongside Andy Pole, 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 | Applied Bayesian Forecasting and Times Series Analysis | 1994 | 175 |
| 2 | 1994 | 146 | |
| 3 | CHAPMAN & HALL/CRC Texts in Statistical Science Series | 2002 | 52 |
| 4 | 1995 | 31 | |
| 5 | 2018 | 26 | |
| 6 | 1990 | 18 | |
| 7 | 1985 | 13 | |
| 8 | 1989 | 6 | |
| 9 | 1996 | 2 |
About Andy Pole
Andy Pole is a scholar working on Artificial Intelligence, Statistics and Probability, Control and Systems Engineering, Finance and Environmental Engineering, having authored 9 papers that have together received 469 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (1 paper), Hydrology and Drought Analysis (1 paper), Statistical Distribution Estimation and Applications (1 paper), Bayesian Modeling and Causal Inference (1 paper), Fault Detection and Control Systems (1 paper), Soil Geostatistics and Mapping (1 paper), Statistical Methods and Inference (1 paper) and Financial Risk and Volatility Modeling (1 paper). The work is most often cited by research in Statistics and Probability (91 citations), Statistics, Probability and Uncertainty (46 citations), Management Science and Operations Research (83 citations), Finance (42 citations) and General Decision Sciences (7 citations). Andy Pole has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Jeff Harrison, Mike West, Mike West, Julie Harrison, M. West, Neville Davies, A. F. M. Smith, Susan A. Gelman, John B. Carlin and D. Rubin. Their work appears in journals such as Journal of Time Series Analysis, Journal of the Royal Statistical Society Series A (Statistics in Society), Journal of Forecasting, Journal of Econometrics and Medical Entomology and Zoology.
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.