Peter Jagers
Impact in
- Mathematical Physics top 0.5%
- Stochastic processes and statistical mechanics
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
-
- Stochastic processes and statistical mechanics 55
- Genetics 19
- Evolution and Genetic Dynamics 18
- Co-authors
- J. Radcliffe (1 shared paper)Vladimir Vatutin (7 shared papers)Patsy Haccou (4 shared papers)Olle Nerman (5 shared papers)Fima C. Klebaner (15 shared papers)Serik Sagitov (11 shared papers)Krishna B. Athreya (1 shared paper)Erhan Çınlar (2 shared papers)
In The Last Decade
Peter Jagers
83 papers receiving 2.1k citations
Peter Jagers's Hit Papers
Peers
Comparison fields: 5 of 123
- Mathematical Physics 1.2k
- Modeling and Simulation 314
- Statistics and Probability 482
- Condensed Matter Physics 286
- Finance 211
Countries citing papers authored by Peter Jagers
This map shows the geographic impact of Peter Jagers'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 Peter Jagers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Jagers more than expected).
Fields of papers citing papers by Peter Jagers
This network shows the impact of papers produced by Peter Jagers. 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 Peter Jagers. The network helps show where Peter Jagers may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Jagers, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Branching Processes with Biological Applications Hit paper breakdown → | 1977 | 566 |
| 2 | 2005 | 260 | |
| 3 | 2005 | 181 | |
| 4 | 1989 | 94 | |
| 5 | 1984 | 81 | |
| 6 | 1997 | 81 | |
| 7 | 1998 | 53 | |
| 8 | 1974 | 49 | |
| 9 | 1969 | 48 | |
| 10 | 1977 | 47 | |
| 11 | 1968 | 46 | |
| 12 | 1973 | 36 | |
| 13 | 1992 | 35 | |
| 14 | 2000 | 35 | |
| 15 | 2003 | 32 | |
| 16 | 2004 | 28 | |
| 17 | 1971 | 25 | |
| 18 | 1984 | 25 | |
| 19 | 1969 | 24 | |
| 20 | 1985 | 23 |
About Peter Jagers
Peter Jagers is a scholar working on Mathematical Physics, Genetics, Statistical and Nonlinear Physics, Statistics and Probability and Condensed Matter Physics, having authored 94 papers that have together received 2.3k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (55 papers), Evolution and Genetic Dynamics (18 papers), Theoretical and Computational Physics (17 papers), Advanced Thermodynamics and Statistical Mechanics (14 papers), Markov Chains and Monte Carlo Methods (13 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Evolutionary Game Theory and Cooperation (11 papers) and Stochastic processes and financial applications (8 papers). The work is most often cited by research in Mathematical Physics (1.2k citations), Modeling and Simulation (314 citations), Statistics and Probability (482 citations), Condensed Matter Physics (286 citations) and Finance (211 citations). Peter Jagers has collaborated with scholars based in Sweden, Australia and Russia. Frequent co-authors include J. Radcliffe, Vladimir Vatutin, Patsy Haccou, Olle Nerman, Fima C. Klebaner, Serik Sagitov, Krishna B. Athreya, Erhan Çınlar, Christophe Jacob and Torgny Lindvall. Their work appears in journals such as Journal of Applied Probability, Advances in Applied Probability, Stochastic Processes and their Applications, International Statistical Review 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.