William J. M. Probert
- Modeling and Simulation top 2%
- Nature and Landscape Conservation top 10%
- Global and Planetary Change top 10%
- Ecology
- Ecological Modeling top 5%
- Co-authors
- Michael C. RungeHugh P. PossinghamKatriona SheaMichael J. TildesleyMatthew J. FerrariChristopher FonnesbeckRichard F. MaloneyAyesha Tulloch
- Topics
- COVID-19 epidemiological studies (15 papers)Animal Disease Management and Epidemiology (6 papers)Economic and Environmental Valuation (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
William J. M. Probert
31 papers receiving 626 citations
Peers
Comparison fields: 5 of 98
- Modeling and Simulation 187
- Nature and Landscape Conservation 139
- Global and Planetary Change 129
- Ecology 118
- Ecological Modeling 113
Countries citing papers authored by William J. M. Probert
This map shows the geographic impact of William J. M. Probert'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 William J. M. Probert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. M. Probert more than expected).
Fields of papers citing papers by William J. M. Probert
This network shows the impact of papers produced by William J. M. Probert. 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 William J. M. Probert. The network helps show where William J. M. Probert may publish in the future.
Co-authorship network of co-authors of William J. M. Probert
This figure shows the co-authorship network connecting the top 25 collaborators of William J. M. Probert. A scholar is included among the top collaborators of William J. M. Probert 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 William J. M. Probert. William J. M. Probert 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 | 11 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 63 | |
| 11 | 11 | |
| 12 | 7 | |
| 13 | 7 | |
| 14 | 51 | |
| 15 | 36 | |
| 16 | 34 | |
| 17 | 13 | |
| 18 | 59 | |
| 19 | 18 | |
| 20 | 74 |
About William J. M. Probert
William J. M. Probert is a scholar working on Modeling and Simulation, Agronomy and Crop Science and General Decision Sciences, having authored 33 papers that have together received 642 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (15 papers), Animal Disease Management and Epidemiology (6 papers) and Economic and Environmental Valuation (4 papers). The work is most often cited by research in Modeling and Simulation (187 citations), Ecological Modeling (113 citations) and Nature and Landscape Conservation (139 citations). William J. M. Probert has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Michael C. Runge, Hugh P. Possingham, Katriona Shea, Michael J. Tildesley, Matthew J. Ferrari, Christopher Fonnesbeck, Richard F. Maloney, Ayesha Tulloch, Joseph Bennett and Liana N. Joseph. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.
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.