David John Scott
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Finance top 5%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
Papers in
-
- Stochastic processes and statistical mechanics 8
- Mathematical Dynamics and Fractals 2
- Finance 7
- Stochastic processes and financial applications 6
- Financial Risk and Volatility Modeling 3
- Co-authors
- I. V. Basawa (4 shared papers)Marco R. Steenbergen (1 shared paper)C. C. Heyde (2 shared papers)Ole E. Barndorff–Nielsen (1 shared paper)Richard L. Tweedie (1 shared paper)Richard Huggins (2 shared papers)Robert J. Adler (1 shared paper)
- Journals
- Advances in Applied Probability (2 papers)Mathematical Proceedings of the Cambridge Philosophical Society (1 paper)Biometrika (1 paper)Journal of the American Statistical Association (1 paper)Stochastic Processes and their Applications (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
David John Scott
16 papers receiving 568 citations
Peers
Comparison fields: 5 of 59
- Statistics and Probability 251
- Finance 231
- Mathematical Physics 147
- Management Science and Operations Research 117
- General Economics, Econometrics and Finance 55
Countries citing papers authored by David John Scott
This map shows the geographic impact of David John Scott'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 David John Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David John Scott more than expected).
Fields of papers citing papers by David John Scott
This network shows the impact of papers produced by David John Scott. 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 David John Scott. The network helps show where David John Scott may publish in the future.
Co-authors
The 7 scholars most cited alongside David John Scott, 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 | 2004 | 164 | |
| 2 | 1973 | 120 | |
| 3 | 1983 | 120 | |
| 4 | 1984 | 106 | |
| 5 | 1973 | 61 | |
| 6 | 1976 | 30 | |
| 7 | 1978 | 18 | |
| 8 | 1996 | 16 | |
| 9 | 1983 | 12 | |
| 10 | 2010 | 11 | |
| 11 | 1973 | 10 | |
| 12 | 1982 | 3 | |
| 13 | 1983 | 2 | |
| 14 | 1975 | 1 | |
| 15 | 1985 | 1 | |
| 16 | The cave of Rouffignac | 1958 | 1 |
| 17 | 1971 | 0 |
About David John Scott
David John Scott is a scholar working on Mathematical Physics, Finance, Statistics and Probability, Management Science and Operations Research and Artificial Intelligence, having authored 17 papers that have together received 676 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (8 papers), Stochastic processes and financial applications (6 papers), Probability and Risk Models (5 papers), Statistical Methods and Inference (4 papers), Bayesian Methods and Mixture Models (4 papers), Financial Risk and Volatility Modeling (3 papers), Housing Market and Economics (2 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Statistics and Probability (251 citations), Finance (231 citations), Mathematical Physics (147 citations), Management Science and Operations Research (117 citations) and General Economics, Econometrics and Finance (55 citations). David John Scott has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include I. V. Basawa, Marco R. Steenbergen, C. C. Heyde, Ole E. Barndorff–Nielsen, Richard L. Tweedie, Richard Huggins and Robert J. Adler. Their work appears in journals such as Advances in Applied Probability, Mathematical Proceedings of the Cambridge Philosophical Society, Biometrika, Journal of the American Statistical Association and Stochastic Processes and their Applications.
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.