David Orrell
Impact in
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations
Papers in
-
- Complex Systems and Time Series Analysis 14
- Economic theories and models 8
-
- Gene Regulatory Network Analysis 9
- Bioinformatics and Genomic Networks 6
- Co-authors
- Hamid Bolouri (9 shared papers)Stephen A. Ramsey (8 shared papers)T. N. Palmer (1 shared paper)Jan Barkmeijer (1 shared paper)Lorna Smith (1 shared paper)Patrick McSharry (1 shared paper)Leonard A. Smith (1 shared paper)Pedro de Atauri (4 shared papers)
- Journals
- Cancer Research (5 papers)IEEE Transactions on Magnetics (3 papers)International Journal of Bifurcation and Chaos (3 papers)Journal of Bioinformatics and Computational Biology (2 papers)Tellus A Dynamic Meteorology and Oceanography (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David Orrell
53 papers receiving 783 citations
Peers
Comparison fields: 5 of 122
- Atmospheric Science 163
- Statistical and Nonlinear Physics 103
- Global and Planetary Change 167
- Molecular Biology 362
- Finance 46
Countries citing papers authored by David Orrell
This map shows the geographic impact of David Orrell'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 Orrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Orrell more than expected).
Fields of papers citing papers by David Orrell
This network shows the impact of papers produced by David Orrell. 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 Orrell. The network helps show where David Orrell may publish in the future.
Co-authors
The 25 scholars most cited alongside David Orrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 174 | |
| 2 | 2001 | 127 | |
| 3 | 2006 | 72 | |
| 4 | 2004 | 50 | |
| 5 | 2003 | 45 | |
| 6 | 2009 | 37 | |
| 7 | 2003 | 31 | |
| 8 | 2002 | 26 | |
| 9 | 2004 | 26 | |
| 10 | 2006 | 24 | |
| 11 | 1988 | 24 | |
| 12 | 2005 | 19 | |
| 13 | 2019 | 19 | |
| 14 | 2002 | 17 | |
| 15 | 2005 | 13 | |
| 16 | 2004 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2014 | 9 |
About David Orrell
David Orrell is a scholar working on Economics and Econometrics, Molecular Biology, Statistical and Nonlinear Physics, Finance and Atmospheric Science, having authored 64 papers that have together received 882 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (14 papers), Gene Regulatory Network Analysis (9 papers), Economic theories and models (8 papers), Financial Markets and Investment Strategies (6 papers), Meteorological Phenomena and Simulations (6 papers), Bioinformatics and Genomic Networks (6 papers), Cancer Genomics and Diagnostics (5 papers) and Mathematical Biology Tumor Growth (5 papers). The work is most often cited by research in Atmospheric Science (163 citations), Statistical and Nonlinear Physics (103 citations), Global and Planetary Change (167 citations), Molecular Biology (362 citations) and Finance (46 citations). David Orrell has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Hamid Bolouri, Stephen A. Ramsey, T. N. Palmer, Jan Barkmeijer, Lorna Smith, Patrick McSharry, Leonard A. Smith, Pedro de Atauri, Vera Zeidan and John D. Aitchison. Their work appears in journals such as Cancer Research, IEEE Transactions on Magnetics, International Journal of Bifurcation and Chaos, Journal of Bioinformatics and Computational Biology and Tellus A Dynamic Meteorology and Oceanography.
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.