J. Ian Richards
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 10%
- Mathematical Physics top 10%
- Geometry and Topology top 5%
- Statistics and Probability top 5%
- Co-authors
- Marian Boykan Pour‐ElJonathan A. TawnRaphaël HuserSimon J. BrownLuigi LombardoAshok DahalJakob ZscheischlerEmanuele Bevacqua
- Topics
- Climate variability and models (4 papers)Landslides and related hazards (2 papers)Atmospheric and Environmental Gas Dynamics (2 papers)
- Journals
- TechnometricsJournal of Business and Economic StatisticsJournal of the Royal Statistical Society Series C (Applied Statistics)
- Partner nations
- United KingdomSaudi ArabiaUnited States
In The Last Decade
J. Ian Richards
10 papers receiving 537 citations
Peers
Comparison fields: 5 of 66
- Computational Theory and Mathematics 452
- Artificial Intelligence 158
- Mathematical Physics 109
- Geometry and Topology 101
- Statistics and Probability 50
Countries citing papers authored by J. Ian Richards
This map shows the geographic impact of J. Ian Richards'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 J. Ian Richards with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Ian Richards more than expected).
Fields of papers citing papers by J. Ian Richards
This network shows the impact of papers produced by J. Ian Richards. 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 J. Ian Richards. The network helps show where J. Ian Richards may publish in the future.
Co-authorship network of co-authors of J. Ian Richards
This figure shows the co-authorship network connecting the top 25 collaborators of J. Ian Richards. A scholar is included among the top collaborators of J. Ian Richards 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 J. Ian Richards. J. Ian Richards is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 41 | |
| 12 | 37 | |
| 13 | 456 | |
| 14 | 0 |
About J. Ian Richards
J. Ian Richards is a scholar working on Global and Planetary Change, Statistics and Probability and Finance, having authored 14 papers that have together received 584 indexed citations. Recurring topics across this work include Climate variability and models (4 papers), Landslides and related hazards (2 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (452 citations), Mathematical Physics (109 citations) and Geometry and Topology (101 citations). J. Ian Richards has collaborated with scholars based in United Kingdom, Saudi Arabia and United States. Frequent co-authors include Marian Boykan Pour‐El, Jonathan A. Tawn, Raphaël Huser, Simon J. Brown, Luigi Lombardo, Ashok Dahal, Jakob Zscheischler, Emanuele Bevacqua, Andrew Zammit‐Mangion and Miguel de Carvalho. Their work appears in journals such as Technometrics, Journal of Business and Economic Statistics 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.