Justin Kirkby
- Finance top 1%
- Demography top 1%
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Statistics and Probability top 5%
- Co-authors
- Duy NguyenZhenyu CuiShijie DengDang H. NguyenJan KorbelGuanghua LianSergei Levendorskiı̌Svetlana Boyarchenko
- Topics
- Stochastic processes and financial applications (53 papers)Financial Risk and Volatility Modeling (29 papers)Insurance, Mortality, Demography, Risk Management (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchExpert Systems with Applications
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Justin Kirkby
56 papers receiving 856 citations
Peers
Comparison fields: 5 of 47
- Finance 796
- Demography 359
- Economics and Econometrics 192
- Management Science and Operations Research 151
- Statistics and Probability 71
Countries citing papers authored by Justin Kirkby
This map shows the geographic impact of Justin Kirkby'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 Justin Kirkby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Kirkby more than expected).
Fields of papers citing papers by Justin Kirkby
This network shows the impact of papers produced by Justin Kirkby. 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 Justin Kirkby. The network helps show where Justin Kirkby may publish in the future.
Co-authorship network of co-authors of Justin Kirkby
This figure shows the co-authorship network connecting the top 25 collaborators of Justin Kirkby. A scholar is included among the top collaborators of Justin Kirkby 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 Justin Kirkby. Justin Kirkby 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 84 | |
| 20 | 10 |
About Justin Kirkby
Justin Kirkby is a scholar working on Finance, Demography and Statistics and Probability, having authored 63 papers that have together received 895 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (53 papers), Financial Risk and Volatility Modeling (29 papers) and Insurance, Mortality, Demography, Risk Management (19 papers). The work is most often cited by research in Finance (796 citations), Demography (359 citations) and Management Science and Operations Research (151 citations). Justin Kirkby has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Duy Nguyen, Zhenyu Cui, Shijie Deng, Dang H. Nguyen, Jan Korbel, Guanghua Lian, Sergei Levendorskiı̌, Svetlana Boyarchenko and Nathaniel Rupprecht. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.
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.