Peter Jagers

4.0k total citations · 1 hit paper
95 papers, 2.3k citations indexed

About

Peter Jagers is a scholar working on Mathematical Physics, Genetics and Statistical and Nonlinear Physics. According to data from OpenAlex, Peter Jagers has authored 95 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Mathematical Physics, 20 papers in Genetics and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in Peter Jagers's work include Stochastic processes and statistical mechanics (55 papers), Evolution and Genetic Dynamics (19 papers) and Theoretical and Computational Physics (17 papers). Peter Jagers is often cited by papers focused on Stochastic processes and statistical mechanics (55 papers), Evolution and Genetic Dynamics (19 papers) and Theoretical and Computational Physics (17 papers). Peter Jagers collaborates with scholars based in Sweden, Australia and Russia. Peter Jagers's co-authors include J. Radcliffe, Vladimir Vatutin, Patsy Haccou, Olle Nerman, Fima C. Klebaner, Krishna B. Athreya, Serik Sagitov, Erhan Çınlar, Christophe Jacob and Torgny Lindvall and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.

In The Last Decade

Peter Jagers

84 papers receiving 2.1k citations

Hit Papers

Branching Processes with Biological Applications 1977 2026 1993 2009 1977 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Jagers Sweden 22 1.2k 491 478 463 334 95 2.3k
Andris Abakuks United Kingdom 11 1.2k 1.0× 574 1.2× 575 1.2× 385 0.8× 279 0.8× 23 3.4k
Maury Bramson United States 33 1.4k 1.2× 333 0.7× 537 1.1× 169 0.4× 248 0.7× 78 3.3k
Fima C. Klebaner Australia 18 618 0.5× 317 0.6× 228 0.5× 218 0.5× 115 0.3× 113 1.8k
Nobuyuki Ikeda Japan 17 1.5k 1.3× 235 0.5× 425 0.9× 134 0.3× 121 0.4× 40 3.5k
Anton Wakolbinger Germany 15 627 0.5× 213 0.4× 171 0.4× 593 1.3× 249 0.7× 67 2.0k
Peter Ney United States 20 2.4k 2.1× 252 0.5× 1.3k 2.8× 312 0.7× 413 1.2× 58 4.5k
Vladimir Vatutin Russia 17 1.2k 1.1× 143 0.3× 464 1.0× 183 0.4× 136 0.4× 160 1.7k
Krishna B. Athreya United States 26 2.1k 1.8× 183 0.4× 1.5k 3.1× 203 0.4× 221 0.7× 135 3.7k
Steven N. Evans United States 28 932 0.8× 117 0.2× 417 0.9× 390 0.8× 373 1.1× 103 2.1k
P. Holgate United Kingdom 23 249 0.2× 254 0.5× 471 1.0× 416 0.9× 322 1.0× 94 2.7k

Countries citing papers authored by Peter Jagers

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter Jagers

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Jagers. A scholar is included among the top collaborators of Peter Jagers 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 Peter Jagers. Peter Jagers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jagers, Peter, et al.. (2020). Convergence of the age structure of general schemes of population processes. Chalmers Research (Chalmers University of Technology). 4 indexed citations
2.
Jagers, Peter, et al.. (2020). Limit theorems for multi-type general branching processes with population dependence. Chalmers Research (Chalmers University of Technology). 1 indexed citations
3.
Jagers, Peter. (2015). On the Complete Life Career of Populations in Environments with a Finite Carrying Capacity. Bulgarian Digital Mathematics Library (BulDML) at IMI-BAS (Institute of Mathematics and Informatics).
4.
Hamza, Kaïs, Peter Jagers, & Fima C. Klebaner. (2015). On the establishment, persistence, and inevitable extinction of populations. Journal of Mathematical Biology. 72(4). 797–820. 10 indexed citations
5.
Vatutin, Vladimir, et al.. (2012). A Decomposable Branching Process in a Markovian Environment. International Journal of Stochastic Analysis. 2012. 1–24. 12 indexed citations
6.
Jagers, Peter, et al.. (2010). Nuclear Energy. AMBIO. 39(S1). 26–30. 6 indexed citations
7.
Sagitov, Serik, Peter Jagers, & Vladimir Vatutin. (2010). Coalescent approximation for structured populations in a stationary random environment. Theoretical Population Biology. 78(3). 192–199. 5 indexed citations
8.
Jagers, Peter. (2010). A plea for stochastic population dynamics. Journal of Mathematical Biology. 60(5). 761–764. 9 indexed citations
9.
Jagers, Peter, et al.. (2009). Politiken hotar matematiken. Chalmers Publication Library (Chalmers University of Technology).
10.
Jagers, Peter, Fima C. Klebaner, & Serik Sagitov. (2007). Markovian paths to extinction. Advances in Applied Probability. 39(2). 569–587. 1 indexed citations
11.
Deutsch, Andreas, Rafael Bravo de la Parra, Hans Metz, et al.. (2007). Mathematical Modeling of Biological Systems, Volume II. Birkhäuser Boston eBooks. 12 indexed citations
12.
Haccou, Patsy, Peter Jagers, & Vladimir Vatutin. (2005). Branching Processes: Variation, Growth, and Extinction of Populations. Chalmers Publication Library (Chalmers University of Technology). 254 indexed citations
13.
Jacob, Christophe, et al.. (2004). Modelling the PCR amplification process by a size-dependent branching process and estimation of the efficiency. Advances in Applied Probability. 36(2). 602–615. 27 indexed citations
14.
Jagers, Peter & Fima C. Klebaner. (2003). Random variation and concentration effects in PCR. Journal of Theoretical Biology. 224(3). 299–304. 31 indexed citations
15.
Jagers, Peter & Fima C. Klebaner. (2000). Population-size-dependent and age-dependent branching processes. Stochastic Processes and their Applications. 87(2). 235–254. 35 indexed citations
16.
Jagers, Peter. (1989). The Markov structure of population growth. Acta Applicandae Mathematicae. 14(1-2). 103–114.
17.
Jagers, Peter. (1987). Branching processes as Markov fields. Stochastic Processes and their Applications. 26. 189–189. 5 indexed citations
18.
Jagers, Peter, et al.. (1985). Post-Stratification and Ratio Estimation: Usages of Auxiliary Information in Survey Sampling and Opinion Polls. International Statistical Review. 53(3). 221–221. 18 indexed citations
19.
Jagers, Peter & Olle Nerman. (1984). Limit theorems for sums determined by branching and other exponentially growing processes. Stochastic Processes and their Applications. 17(1). 47–71. 17 indexed citations
20.
Jagers, Peter & Klas Norrby. (1974). ESTIMATION OF THE MEAN AND VARIANCE OF CYCLE TIMES IN CINEMICROGRAPHICALLY RECORDED CELL POPULATIONS DURING BALANCED EXPONENTIAL GROWTH. Cell Proliferation. 7(3). 201–211. 8 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026