Simon Preston
Impact in
- Modeling and Simulation top 10%
- Plant Science top 10%
- Plant responses to elevated CO2
- Light effects on plants
Papers in
-
- Plant Molecular Biology Research 3
- Co-authors
- Andrew T. A. Wood (10 shared papers)Oliver E. Jensen (6 shared papers)Renata Retkutė (4 shared papers)Erik H. Murchie (4 shared papers)Alexandra J. Burgess (3 shared papers)Michail Tsagris (5 shared papers)Theodore Kypraios (4 shared papers)Tony Pridmore (2 shared papers)
- Journals
- Statistics and Computing (4 papers)Journal of Theoretical Biology (3 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2 papers)Biometrika (2 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (2 papers)
- Partner nations
- United KingdomGreeceAustralia
In The Last Decade
Simon Preston
40 papers receiving 685 citations
Peers
Comparison fields: 5 of 132
- Modeling and Simulation 33
- Plant Science 207
- Statistics and Probability 39
- Catalysis 29
- Global and Planetary Change 82
Countries citing papers authored by Simon Preston
This map shows the geographic impact of Simon Preston'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 Simon Preston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Preston more than expected).
Fields of papers citing papers by Simon Preston
This network shows the impact of papers produced by Simon Preston. 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 Simon Preston. The network helps show where Simon Preston may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Preston, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 82 | |
| 2 | 2015 | 74 | |
| 3 | 2016 | 71 | |
| 4 | 2011 | 57 | |
| 5 | 2015 | 54 | |
| 6 | 2012 | 36 | |
| 7 | 2016 | 34 | |
| 8 | 2013 | 25 | |
| 9 | 2017 | 24 | |
| 10 | 2016 | 23 | |
| 11 | 2006 | 22 | |
| 12 | 2011 | 22 | |
| 13 | 2018 | 20 | |
| 14 | 2007 | 16 | |
| 15 | 2017 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2013 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2016 | 8 | |
| 20 | 2013 | 8 |
About Simon Preston
Simon Preston is a scholar working on Molecular Biology, Plant Science, Geometry and Topology, Artificial Intelligence and Genetics, having authored 43 papers that have together received 703 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (6 papers), Plant Molecular Biology Research (3 papers), Genetic and phenotypic traits in livestock (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Probabilistic and Robust Engineering Design (3 papers), Soil Geostatistics and Mapping (3 papers), Bayesian Methods and Mixture Models (3 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Modeling and Simulation (33 citations), Plant Science (207 citations), Statistics and Probability (39 citations), Catalysis (29 citations) and Global and Planetary Change (82 citations). Simon Preston has collaborated with scholars based in United Kingdom, Greece and Australia. Frequent co-authors include Andrew T. A. Wood, Oliver E. Jensen, Renata Retkutė, Erik H. Murchie, Alexandra J. Burgess, Michail Tsagris, Theodore Kypraios, Tony Pridmore, Michael P. Pound and P.H. Shipway. Their work appears in journals such as Statistics and Computing, Journal of Theoretical Biology, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Biometrika 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.