Simon Shaw
Impact in
- Statistics and Probability top 10%
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
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- Fish Ecology and Management Studies
- Ecology and Vegetation Dynamics Studies
Papers in
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- Statistical Distribution Estimation and Applications 2
- Statistical Methods and Bayesian Inference 1
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- Reliability and Maintenance Optimization 2
- Co-authors
- Yannig Goude (1 shared paper)Simon N. Wood (1 shared paper)Pauline Coolen‐Schrijner (2 shared papers)Frank P. A. Coolen (2 shared papers)Elizabeth Burd (1 shared paper)Malcolm Munro (1 shared paper)Michael Goldstein (2 shared papers)Maya Gobin (1 shared paper)
- Journals
- Journal of the Operational Research Society (2 papers)Journal of Statistical Planning and Inference (1 paper)IEEE Transactions on Software Engineering (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)Cochrane Database of Systematic Reviews (1 paper)
- Partner nations
- United KingdomFrance
In The Last Decade
Simon Shaw
5 papers receiving 254 citations
Peers
Comparison fields: 5 of 114
- Statistics and Probability 40
- Nature and Landscape Conservation 31
- Software 9
- Ecological Modeling 10
- Safety, Risk, Reliability and Quality 21
Countries citing papers authored by Simon Shaw
This map shows the geographic impact of Simon Shaw'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 Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Shaw more than expected).
Fields of papers citing papers by Simon Shaw
This network shows the impact of papers produced by Simon Shaw. 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 Shaw. The network helps show where Simon Shaw may publish in the future.
Co-authors
The 12 scholars most cited alongside Simon Shaw, 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 | 2014 | 223 | |
| 2 | 2008 | 16 | |
| 3 | 2005 | 13 | |
| 4 | 2003 | 9 | |
| 5 | 2015 | 1 | |
| 6 | 2012 | 0 |
About Simon Shaw
Simon Shaw is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality, Demography, Computer Networks and Communications and Pharmacology, having authored 6 papers that have together received 262 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (2 papers), Statistical Distribution Estimation and Applications (2 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Obesity and Health Practices (1 paper), Statistical Methods and Bayesian Inference (1 paper), Software Reliability and Analysis Research (1 paper), Image and Signal Denoising Methods (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Statistics and Probability (40 citations), Nature and Landscape Conservation (31 citations), Software (9 citations), Ecological Modeling (10 citations) and Safety, Risk, Reliability and Quality (21 citations). Simon Shaw has collaborated with scholars based in United Kingdom and France. Frequent co-authors include Yannig Goude, Simon N. Wood, Pauline Coolen‐Schrijner, Frank P. A. Coolen, Elizabeth Burd, Malcolm Munro, Michael Goldstein, Maya Gobin, John D. Mooney and Brian O’Neill. Their work appears in journals such as Journal of the Operational Research Society, Journal of Statistical Planning and Inference, IEEE Transactions on Software Engineering, Journal of the Royal Statistical Society Series C (Applied Statistics) and Cochrane Database of Systematic Reviews.
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.