J. D. Biggins
Impact in
- Mathematical Physics top 0.5%
- Stochastic processes and statistical mechanics
- Statistics and Probability top 0.5%
- Markov Chains and Monte Carlo Methods
Papers in
-
- Stochastic processes and statistical mechanics 44
-
- Markov Chains and Monte Carlo Methods 14
- Co-authors
- E. L. Lehmann (1 shared paper)T. R. Birkhead (11 shared papers)Andreas E. Kyprianou (5 shared papers)Ν. H. Bingham (3 shared papers)J.E. Thompson (5 shared papers)Amir Dembo (1 shared paper)C. Cannings (2 shared papers)Timothy R. Birkhead (1 shared paper)
- Journals
- Advances in Applied Probability (16 papers)Journal of Applied Probability (8 papers)Stochastic Processes and their Applications (5 papers)The Annals of Applied Probability (3 papers)Probability Theory and Related Fields (2 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
J. D. Biggins
67 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Mathematical Physics 1.3k
- Statistics and Probability 959
- Condensed Matter Physics 455
- Management Science and Operations Research 430
- Finance 346
Countries citing papers authored by J. D. Biggins
This map shows the geographic impact of J. D. Biggins'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. D. Biggins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. D. Biggins more than expected).
Fields of papers citing papers by J. D. Biggins
This network shows the impact of papers produced by J. D. Biggins. 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. D. Biggins. The network helps show where J. D. Biggins may publish in the future.
Co-authors
The 25 scholars most cited alongside J. D. Biggins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Testing Statistical Hypotheses. Hit paper breakdown → | 1988 | 767 |
| 2 | 1977 | 166 | |
| 3 | 1994 | 110 | |
| 4 | 1987 | 109 | |
| 5 | 2004 | 107 | |
| 6 | 1977 | 100 | |
| 7 | 1992 | 99 | |
| 8 | 1997 | 83 | |
| 9 | 1976 | 73 | |
| 10 | 2004 | 70 | |
| 11 | 1976 | 66 | |
| 12 | 1995 | 62 | |
| 13 | 1977 | 59 | |
| 14 | 1979 | 52 | |
| 15 | 1993 | 52 | |
| 16 | 2005 | 52 | |
| 17 | 2018 | 50 | |
| 18 | 1998 | 49 | |
| 19 | 1978 | 40 | |
| 20 | 1987 | 39 |
About J. D. Biggins
J. D. Biggins is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Artificial Intelligence and Finance, having authored 67 papers that have together received 2.9k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (44 papers), Theoretical and Computational Physics (18 papers), Markov Chains and Monte Carlo Methods (14 papers), Stochastic processes and financial applications (11 papers), Probability and Risk Models (9 papers), Bayesian Methods and Mixture Models (9 papers), Animal Behavior and Reproduction (8 papers) and Avian ecology and behavior (8 papers). The work is most often cited by research in Mathematical Physics (1.3k citations), Statistics and Probability (959 citations), Condensed Matter Physics (455 citations), Management Science and Operations Research (430 citations) and Finance (346 citations). J. D. Biggins has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include E. L. Lehmann, T. R. Birkhead, Andreas E. Kyprianou, Ν. H. Bingham, J.E. Thompson, Amir Dembo, C. Cannings, Timothy R. Birkhead, G. J. Wishart and D. R. Grey. Their work appears in journals such as Advances in Applied Probability, Journal of Applied Probability, Stochastic Processes and their Applications, The Annals of Applied Probability and Probability Theory and Related Fields.
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.