Andy Pole
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models 1
- Statistical Distribution Estimation and Applications 1
- Statistical Methods and Inference 1
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- Financial Risk and Volatility Modeling 1
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- Fault Detection and Control Systems 1
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- Bayesian Methods and Mixture Models 1
- Bayesian Modeling and Causal Inference 1
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- Complex Systems and Time Series Analysis 1
- Co-authors
- Jeff HarrisonMike WestJulie HarrisonM. WestNeville DaviesA. F. M. SmithHelman I. SternChris Chatfield
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- Journal of Forecasting (1 paper)Journal of Econometrics (1 paper)Journal of Time Series Analysis (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Andy Pole
9 papers receiving 386 citations
Peers
Comparison fields: 5 of 95
- Statistics and Probability 84
- Management Science and Operations Research 79
- Statistics, Probability and Uncertainty 43
- General Decision Sciences 7
- Finance 32
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-authorship network
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 | 2018 | 21 | |
| 2 | CHAPMAN & HALL/CRC Texts in Statistical Science Series | 2002 | 49 |
| 3 | 1996 | 2 | |
| 4 | 1995 | 30 | |
| 5 | Applied Bayesian Forecasting and Times Series Analysis | 1994 | 159 |
| 6 | 1994 | 130 | |
| 7 | 1990 | 16 | |
| 8 | 1989 | 4 | |
| 9 | 1985 | 13 |
About Andy Pole
Andy Pole is a scholar working on Statistics and Probability, Finance, Environmental Engineering, Artificial Intelligence and Global and Planetary Change, having authored 9 papers that have together received 424 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (1 paper), Fault Detection and Control Systems (1 paper), Statistical Distribution Estimation and Applications (1 paper), Bayesian Methods and Mixture Models (1 paper), Bayesian Modeling and Causal Inference (1 paper), Statistical Methods and Inference (1 paper), Financial Risk and Volatility Modeling (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Statistics and Probability (84 citations), Management Science and Operations Research (79 citations), Statistics, Probability and Uncertainty (43 citations), General Decision Sciences (7 citations) and Finance (32 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, Helman I. Stern, Chris Chatfield and Susan A. Gelman. Their work appears in journals such as Journal of Forecasting, Journal of Econometrics, Journal of Time Series Analysis, Journal of the Royal Statistical Society Series A (Statistics in Society) and Journal of the Royal Statistical Society Series D (The Statistician).
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.