Stuart Barber
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
- Co-authors
- Guy P. Nason (2 shared papers)Paul D. Baxter (6 shared papers)Claire Keeble (5 shared papers)Graham Law (5 shared papers)Richard J. Mead (1 shared paper)Pamela J. Shaw (1 shared paper)Siân C. Barber (1 shared paper)Adrian Higginbottom (1 shared paper)
- Journals
- Journal of Transport & Health (2 papers)Biometrics (2 papers)Statistical Applications in Genetics and Molecular Biology (2 papers)Computational Statistics & Data Analysis (2 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Stuart Barber
31 papers receiving 631 citations
Peers
Comparison fields: 5 of 161
- Statistics and Probability 108
- Statistics, Probability and Uncertainty 29
- Management Science and Operations Research 53
- Biochemistry 17
- Environmental Engineering 41
Countries citing papers authored by Stuart Barber
This map shows the geographic impact of Stuart Barber'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 Stuart Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart Barber more than expected).
Fields of papers citing papers by Stuart Barber
This network shows the impact of papers produced by Stuart Barber. 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 Stuart Barber. The network helps show where Stuart Barber may publish in the future.
Co-authors
The 25 scholars most cited alongside Stuart Barber, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 213 | |
| 2 | 2009 | 82 | |
| 3 | 2015 | 50 | |
| 4 | 2002 | 46 | |
| 5 | 2004 | 40 | |
| 6 | 2011 | 37 | |
| 7 | 2018 | 24 | |
| 8 | 2002 | 22 | |
| 9 | 2013 | 17 | |
| 10 | 1999 | 15 | |
| 11 | 2018 | 13 | |
| 12 | Proceedings edited by | 2006 | 12 |
| 13 | 2019 | 11 | |
| 14 | 2022 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2013 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2013 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2015 | 5 |
About Stuart Barber
Stuart Barber is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Statistics and Probability and Signal Processing, having authored 32 papers that have together received 654 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (4 papers), Urban Transport and Accessibility (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Statistical Methods and Inference (2 papers), Food Security and Health in Diverse Populations (2 papers), Analytical Chemistry and Chromatography (2 papers), Traffic and Road Safety (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Statistics and Probability (108 citations), Statistics, Probability and Uncertainty (29 citations), Management Science and Operations Research (53 citations), Biochemistry (17 citations) and Environmental Engineering (41 citations). Stuart Barber has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Guy P. Nason, Paul D. Baxter, Claire Keeble, Graham Law, Richard J. Mead, Pamela J. Shaw, Siân C. Barber, Adrian Higginbottom, Christopher Jennison and Gary Williamson. Their work appears in journals such as Journal of Transport & Health, Biometrics, Statistical Applications in Genetics and Molecular Biology, Computational Statistics & Data Analysis and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.