John Paul Gosling
- Global and Planetary Change top 10%
- Computational Theory and Mathematics top 5%
- Statistics, Probability and Uncertainty top 2%
- Atmospheric Science
- Artificial Intelligence
- Co-authors
- Anthony O’HaganJeremy E. OakleyStefano ContiJill S. JohnsonMarc C. KennedyRichard WilliamsZhiqiang CuiLindsay Lee
- Topics
- Advanced Multi-Objective Optimization Algorithms (4 papers)Computational Drug Discovery Methods (4 papers)Geochemistry and Geologic Mapping (3 papers)
- Cited by
- Statistics, Probability and UncertaintyChemical Health and SafetyStatistics and Probability
- Journals
- ImmunityTechnometricsBiometrika
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
John Paul Gosling
33 papers receiving 586 citations
Peers
Comparison fields: 5 of 128
- Global and Planetary Change 134
- Computational Theory and Mathematics 99
- Statistics, Probability and Uncertainty 94
- Atmospheric Science 88
- Artificial Intelligence 85
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 of co-authors of John Paul Gosling
This figure shows the co-authorship network connecting the top 25 collaborators of John Paul Gosling. A scholar is included among the top collaborators of John Paul Gosling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Paul Gosling. John Paul Gosling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 27 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 44 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 61 | |
| 13 | 9 | |
| 14 | 60 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 1 | |
| 18 | Web based expert elicitation of uncertainties in environmental model inputs | 1 |
| 19 | 16 | |
| 20 | 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) and Geochemistry and Geologic Mapping (3 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.