Andy Pole

650 citations
9 papers · 463 · h-index 7

Impact in

Papers in

    • Statistical Methods and Inference 1
    • Advanced Statistical Methods and Models 1
    • Statistical Distribution Estimation and Applications 1
    • Financial Risk and Volatility Modeling 1
    • Stochastic processes and financial applications 1

Andy Pole

9 papers receiving 413 citations

Peers

Andy Pole
Comparison fields: 5 of 93
  • Statistics and Probability 89
  • Statistics, Probability and Uncertainty 46
  • Management Science and Operations Research 81
  • Finance 40
  • General Decision Sciences 7
Replace Patrizia Campagnoli with:
Patrizia Campagnoli Italy
Vasco d'Orey United States
Michael Peter Wiper Spain
Mhamed Mesfioui Canada
Guy Brys Belgium
Quirino Paris United States
John Deely New Zealand
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William V. Harper United States
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Citations per field
00.5×1.6×
Patrizia Campagnoli · 1×
Citations per year

Countries citing papers authored by Andy Pole

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

9 of 9 papers shown
#Work
1
Applied Bayesian Forecasting and Times Series Analysis
1994174
2 1994145
3
CHAPMAN & HALL/CRC Texts in Statistical Science Series
200249
4 199531
5 201827
6 199016
7 198513
8 19896
9 19962

About Andy Pole

Andy Pole is a scholar working on Statistics and Probability, Finance, Artificial Intelligence, Environmental Engineering and Global and Planetary Change, having authored 9 papers that have together received 463 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (1 paper), Financial Risk and Volatility Modeling (1 paper), Bayesian Modeling and Causal Inference (1 paper), Statistical Methods and Inference (1 paper), Advanced Statistical Methods and Models (1 paper), Statistical Distribution Estimation and Applications (1 paper), Fault Detection and Control Systems (1 paper) and Stochastic processes and financial applications (1 paper). The work is most often cited by research in Statistics and Probability (89 citations), Statistics, Probability and Uncertainty (46 citations), Management Science and Operations Research (81 citations), Finance (40 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, Miranda J. West, Julie A. Harrison, Neville Davies, A. F. M. Smith, Helman I. Stern, John B. Carlin and Dani Gamerman. Their work appears in journals such as Journal of Econometrics, Journal of Forecasting, Journal of the Royal Statistical Society Series A (Statistics in Society), Journal of Time Series Analysis 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.

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