Jonathan J. Forster
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Demography top 2%
- Management Science and Operations Research top 5%
- Sociology and Political Science top 10%
- Co-authors
- Peter SmithΠέτρος ΔελλαπόρταςIoannis NtzoufrasAnthony O’HaganJakub BijakArkadiusz WiśniowskiJohn W. McDonaldJames Raymer
- Topics
- Statistical Methods and Bayesian Inference (17 papers)Insurance, Mortality, Demography, Risk Management (16 papers)Statistical Methods and Inference (14 papers)
- Journals
- Journal of the American Statistical AssociationBiometricsEuropean Journal of Operational Research
- Partner nations
- United KingdomAustraliaGreece
In The Last Decade
Jonathan J. Forster
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 152
- Statistics and Probability 560
- Artificial Intelligence 382
- Demography 218
- Management Science and Operations Research 182
- Sociology and Political Science 168
Countries citing papers authored by Jonathan J. Forster
This map shows the geographic impact of Jonathan J. Forster'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 Jonathan J. Forster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan J. Forster more than expected).
Fields of papers citing papers by Jonathan J. Forster
This network shows the impact of papers produced by Jonathan J. Forster. 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 Jonathan J. Forster. The network helps show where Jonathan J. Forster may publish in the future.
Co-authorship network of co-authors of Jonathan J. Forster
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan J. Forster. A scholar is included among the top collaborators of Jonathan J. Forster 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 Jonathan J. Forster. Jonathan J. Forster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 163 | |
| 6 | 62 | |
| 7 | Evaluation of existing migration forecasting methods and models | 21 |
| 8 | 8 | |
| 9 | 12 | |
| 10 | Bayesian inference for uncertain dynamic systems | 3 |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | Kendall's Advanced Theory of Statistics, volume 2B: Bayesian Inference, second edition | 96 |
| 15 | Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions - Discussion | 3 |
| 16 | 20 | |
| 17 | 11 | |
| 18 | Monte Carlo exact tests for log-linear and logistic models. | 1 |
| 19 | 43 | |
| 20 | 15 |
About Jonathan J. Forster
Jonathan J. Forster is a scholar working on Statistics and Probability, Demography and Management Science and Operations Research, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (17 papers), Insurance, Mortality, Demography, Risk Management (16 papers) and Statistical Methods and Inference (14 papers). The work is most often cited by research in Statistics and Probability (560 citations), Demography (218 citations) and Computational Mathematics (9 citations). Jonathan J. Forster has collaborated with scholars based in United Kingdom, Australia and Greece. Frequent co-authors include Peter Smith, Πέτρος Δελλαπόρτας, Ioannis Ntzoufras, Anthony O’Hagan, Jakub Bijak, Arkadiusz Wiśniowski, John W. McDonald, James Raymer, David S. Leslie and Helen Steingroever. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and European Journal of Operational Research.
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.