Neville Davies
- Statistics and Probability top 1%
- Statistics Education and Methodologies 16
- Advanced Statistical Methods and Models 5
- Finance top 5%
- Financial Risk and Volatility Modeling 4
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- Forecasting Techniques and Applications 7
- Stock Market Forecasting Methods 4
- Economics and Econometrics top 5%
- Complex Systems and Time Series Analysis 6
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- Fault Detection and Control Systems 4
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- Education Systems and Policy 4
- Co-authors
- Joseph D. PetruccelliPaul NewboldAndrew HarveyC.M. TriggsYuzhi CaiJohn MarriottJulie HarrisonWilliam P. Watson
- Journals
- Biometrika (6 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (3 papers)Journal of the American Statistical Association (2 papers)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Neville Davies
54 papers receiving 777 citations
Peers
Comparison fields: 5 of 119
- Statistics and Probability 265
- Finance 230
- General Economics, Econometrics and Finance 153
- Management Science and Operations Research 126
- Economics and Econometrics 240
Countries citing papers authored by Neville Davies
This map shows the geographic impact of Neville Davies'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 Neville Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neville Davies more than expected).
Fields of papers citing papers by Neville Davies
This network shows the impact of papers produced by Neville Davies. 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 Neville Davies. The network helps show where Neville Davies may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neville Davies, 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 | 2021 | 5 | |
| 2 | 2019 | 2 | |
| 3 | 2016 | 62 | |
| 4 | 2012 | 1 | |
| 5 | 2006 | 1 | |
| 6 | 2005 | 1 | |
| 7 | 2003 | 2 | |
| 8 | 2003 | 56 | |
| 9 | 2003 | 6 | |
| 10 | 2001 | 6 | |
| 11 | 2000 | 3 | |
| 12 | 2000 | 1 | |
| 13 | 1995 | 5 | |
| 14 | 1995 | 15 | |
| 15 | Black box analysis of stream ciphers. | 1991 | 6 |
| 16 | 1986 | 0 | |
| 17 | 1984 | 11 | |
| 18 | 1980 | 5 | |
| 19 | 1977 | 120 | |
| 20 | 1972 | 2 |
About Neville Davies
Neville Davies is a scholar working on Statistics and Probability, Management Science and Operations Research and Architecture, having authored 63 papers that have together received 878 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (16 papers), Forecasting Techniques and Applications (7 papers), Complex Systems and Time Series Analysis (6 papers), Advanced Statistical Methods and Models (5 papers), Stock Market Forecasting Methods (4 papers), Fault Detection and Control Systems (4 papers), Financial Risk and Volatility Modeling (4 papers) and Education Systems and Policy (4 papers). The work is most often cited by research in Statistics and Probability (265 citations), Finance (230 citations) and General Economics, Econometrics and Finance (153 citations). Neville Davies has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include Joseph D. Petruccelli, Paul Newbold, Andrew Harvey, C.M. Triggs, Yuzhi Cai, John Marriott, Julie Harrison, William P. Watson, Trevor A Spedding and M. West. Their work appears in journals such as Biometrika, Journal of the Royal Statistical Society Series A (Statistics in Society), Journal of the American Statistical Association, Journal of Time Series Analysis and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.