Diana E. Woodward
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth 5
- Finance top 5%
- Stochastic processes and financial applications 11
- Financial Risk and Volatility Modeling 5
- Genetics top 10%
- Cell Biology top 10%
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- Economic theories and models 4
- Complex Systems and Time Series Analysis 2
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- Gene Regulatory Network Analysis 2
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- Advanced Mathematical Modeling in Engineering 2
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- Monetary Policy and Economic Impact 2
- Co-authors
- J. D. MurrayPhilippe TracquiG. C. CruywagenPatrick S. HaganEllsworth C. AlvordRebecca C. TysonElena O. BudreneHoward C. Berg
- Journals
- Applied Mathematical Finance (3 papers)Cell Proliferation (2 papers)Proceedings of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Diana E. Woodward
21 papers receiving 811 citations
Peers
Comparison fields: 5 of 95
- Modeling and Simulation 430
- Finance 163
- Genetics 138
- Cell Biology 129
- Radiology, Nuclear Medicine and Imaging 140
Countries citing papers authored by Diana E. Woodward
This map shows the geographic impact of Diana E. Woodward'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 Diana E. Woodward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana E. Woodward more than expected).
Fields of papers citing papers by Diana E. Woodward
This network shows the impact of papers produced by Diana E. Woodward. 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 Diana E. Woodward. The network helps show where Diana E. Woodward may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Diana E. Woodward, 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 | 2023 | 3 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 1 | |
| 4 | 2020 | 5 | |
| 5 | 2019 | 3 | |
| 6 | 2018 | 4 | |
| 7 | 2018 | 3 | |
| 8 | 2018 | 4 | |
| 9 | 2016 | 13 | |
| 10 | 1999 | 11 | |
| 11 | 1999 | 85 | |
| 12 | 1996 | 135 | |
| 13 | 1995 | 180 | |
| 14 | 1995 | 208 | |
| 15 | 1995 | 21 | |
| 16 | 1995 | 73 | |
| 17 | 1995 | 7 | |
| 18 | 1994 | 4 | |
| 19 | 1993 | 34 | |
| 20 | 1985 | 18 |
About Diana E. Woodward
Diana E. Woodward is a scholar working on Finance, Modeling and Simulation and General Economics, Econometrics and Finance, having authored 21 papers that have together received 861 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Mathematical Biology Tumor Growth (5 papers), Financial Risk and Volatility Modeling (5 papers), Economic theories and models (4 papers), Gene Regulatory Network Analysis (2 papers), Advanced Mathematical Modeling in Engineering (2 papers), Monetary Policy and Economic Impact (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Modeling and Simulation (430 citations), Finance (163 citations) and Genetics (138 citations). Diana E. Woodward has collaborated with scholars based in United States and France. Frequent co-authors include J. D. Murray, Philippe Tracqui, G. C. Cruywagen, Patrick S. Hagan, Ellsworth C. Alvord, Rebecca C. Tyson, Elena O. Budrene, Howard C. Berg, Mary R. Myerscough and James A. Cook. Their work appears in journals such as Applied Mathematical Finance, Cell Proliferation, Proceedings of the Royal Society B Biological Sciences, Avian Diseases and Quantitative Finance.
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.