Andy Pole
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
-
- Forecasting Techniques and Applications
Papers in
-
- Statistical Methods and Bayesian Inference 8
- Markov Chains and Monte Carlo Methods 3
-
- Forecasting Techniques and Applications 5
- Co-authors
- Mike West (5 shared papers)Julie A. Harrison (3 shared papers)Neville Davies (1 shared paper)A. F. M. Smith (1 shared paper)Susan A. Gelman (1 shared paper)John B. Carlin (1 shared paper)Helman I. Stern (1 shared paper)Dani Gamerman (1 shared paper)
- Journals
- Journal of Forecasting (1 paper)Journal of Time Series Analysis (1 paper)Journal of Econometrics (1 paper)Journal of the Royal Statistical Society Series A (Statistics in Society) (1 paper)Journal of the Royal Statistical Society Series D (The Statistician) (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Andy Pole
9 papers receiving 416 citations
Peers
Comparison fields: 5 of 81
- Statistics and Probability 86
- Management Science and Operations Research 83
- Signal Processing 37
- Computational Mathematics 2
- Statistics, Probability and Uncertainty 25
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 11 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 | 173 |
| 2 | 1994 | 146 | |
| 3 | CHAPMAN & HALL/CRC Texts in Statistical Science Series | 2002 | 50 |
| 4 | 1995 | 31 | |
| 5 | 2018 | 28 | |
| 6 | 1990 | 16 | |
| 7 | 1985 | 13 | |
| 8 | 1989 | 6 | |
| 9 | 1996 | 2 |
About Andy Pole
Andy Pole is a scholar working on Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, Control and Systems Engineering and Signal Processing, having authored 9 papers that have together received 465 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (8 papers), Forecasting Techniques and Applications (5 papers), Markov Chains and Monte Carlo Methods (3 papers), Control Systems and Identification (2 papers), Time Series Analysis and Forecasting (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Data Analysis with R (1 paper) and Target Tracking and Data Fusion in Sensor Networks (1 paper). The work is most often cited by research in Statistics and Probability (86 citations), Management Science and Operations Research (83 citations), Signal Processing (37 citations), Computational Mathematics (2 citations) and Statistics, Probability and Uncertainty (25 citations). Andy Pole has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Mike West, Julie A. Harrison, Neville Davies, A. F. M. Smith, Susan A. Gelman, John B. Carlin, Helman I. Stern, Dani Gamerman, Peter Sprent and Chris Chatfield. Their work appears in journals such as Journal of Forecasting, Journal of Time Series Analysis, Journal of Econometrics, 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.