John Paul Gosling
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- Probabilistic and Robust Engineering Design 3
- Chemical Health and Safety top 10%
- Chemical Safety and Risk Management 3
- Statistics and Probability top 5%
- Global and Planetary Change top 10%
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- Advanced Multi-Objective Optimization Algorithms 4
- Computational Drug Discovery Methods 4
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- Geochemistry and Geologic Mapping 3
- Gaussian Processes and Bayesian Inference 3
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- Criminal Justice and Corrections Analysis 3
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- Allergic Rhinitis and Sensitization 2
John Paul Gosling
33 papers receiving 586 citations
Peers
Comparison fields: 5 of 128
- Statistics, Probability and Uncertainty 94
- Chemical Health and Safety 6
- Statistics and Probability 53
- Global and Planetary Change 134
- Computational Theory and Mathematics 99
Countries citing papers authored by John Paul Gosling
This map shows the geographic impact of John Paul Gosling'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 John Paul Gosling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Paul Gosling more than expected).
Fields of papers citing papers by John Paul Gosling
This network shows the impact of papers produced by John Paul Gosling. 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 John Paul Gosling. The network helps show where John Paul Gosling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Paul Gosling, 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 | 2022 | 5 | |
| 2 | 2022 | 2 | |
| 3 | 2020 | 0 | |
| 4 | 2019 | 27 | |
| 5 | 2019 | 5 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 1 | |
| 8 | 2018 | 6 | |
| 9 | 2018 | 44 | |
| 10 | 2018 | 14 | |
| 11 | 2018 | 10 | |
| 12 | 2016 | 61 | |
| 13 | 2015 | 9 | |
| 14 | 2015 | 60 | |
| 15 | 2014 | 1 | |
| 16 | 2013 | 8 | |
| 17 | 2012 | 1 | |
| 18 | Web based expert elicitation of uncertainties in environmental model inputs | 2011 | 1 |
| 19 | 2011 | 16 | |
| 20 | 2010 | 14 |
About John Paul Gosling
John Paul Gosling is a scholar working on Chemical Health and Safety, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 35 papers that have together received 617 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (4 papers), Computational Drug Discovery Methods (4 papers), Geochemistry and Geologic Mapping (3 papers), Criminal Justice and Corrections Analysis (3 papers), Probabilistic and Robust Engineering Design (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Chemical Safety and Risk Management (3 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (94 citations), Chemical Health and Safety (6 citations) and Statistics and Probability (53 citations). John Paul Gosling has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Anthony O’Hagan, Jeremy E. Oakley, Stefano Conti, Jill S. Johnson, Marc C. Kennedy, Richard Williams, Zhiqiang Cui, Lindsay Lee, K. S. Carslaw and Alan Blyth. Their work appears in journals such as Immunity, Technometrics and Biometrika.
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.