J. D. Biggins

4.4k total citations · 1 hit paper
67 papers, 2.9k citations indexed

About

J. D. Biggins is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics. According to data from OpenAlex, J. D. Biggins has authored 67 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Mathematical Physics, 19 papers in Statistics and Probability and 18 papers in Condensed Matter Physics. Recurrent topics in J. D. Biggins's work include Stochastic processes and statistical mechanics (44 papers), Theoretical and Computational Physics (18 papers) and Markov Chains and Monte Carlo Methods (14 papers). J. D. Biggins is often cited by papers focused on Stochastic processes and statistical mechanics (44 papers), Theoretical and Computational Physics (18 papers) and Markov Chains and Monte Carlo Methods (14 papers). J. D. Biggins collaborates with scholars based in United Kingdom, Australia and United States. J. D. Biggins's 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 and has published in prestigious journals such as Evolution, Proceedings of the Royal Society B Biological Sciences and Transactions of the American Mathematical Society.

In The Last Decade

J. D. Biggins

67 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Testing Statistical Hypotheses.

1988 767 citations J. D. Biggins et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. D. Biggins United Kingdom	27	1.3k	959	485	455	430	67	2.9k
Peter Jagers Sweden	22	1.2k 0.9×	478 0.5×	257 0.5×	283 0.6×	235 0.5×	95	2.3k
Svante Janson Sweden	41	3.7k 2.8×	1.8k 1.8×	1.3k 2.6×	561 1.2×	443 1.0×	302	8.7k
Steven N. Evans United States	28	932 0.7×	417 0.4×	231 0.5×	188 0.4×	72 0.2×	103	2.1k
A. D. Barbour Switzerland	31	1.4k 1.0×	1.7k 1.8×	1.1k 2.2×	77 0.2×	612 1.4×	155	4.0k
Peter Ney United States	20	2.4k 1.8×	1.3k 1.4×	723 1.5×	606 1.3×	978 2.3×	58	4.5k
Krishna B. Athreya United States	26	2.1k 1.6×	1.5k 1.5×	728 1.5×	515 1.1×	699 1.6×	135	3.7k
Edward A. Bender United States	25	926 0.7×	352 0.4×	698 1.4×	101 0.2×	114 0.3×	126	4.8k
Thomas M. Liggett United States	31	3.7k 2.8×	2.1k 2.2×	317 0.7×	2.1k 4.7×	440 1.0×	90	6.7k
Andris Abakuks United Kingdom	11	1.2k 0.9×	575 0.6×	219 0.5×	238 0.5×	400 0.9×	23	3.4k
Maury Bramson United States	33	1.4k 1.1×	537 0.6×	101 0.2×	908 2.0×	322 0.7×	78	3.3k

Countries citing papers authored by J. D. Biggins

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of J. D. Biggins

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Biggins, J. D., Robert Montgomerie, J.E. Thompson, & T. R. Birkhead. (2022). Preston’s universal formula for avian egg shape. The Auk. 139(4). 12 indexed citations

2.

Birkhead, T. R., J.E. Thompson, J. D. Biggins, & Robert Montgomerie. (2018). The evolution of egg shape in birds: selection during the incubation period. Ibis. 161(3). 605–618. 21 indexed citations

3.

Biggins, J. D., J.E. Thompson, & T. R. Birkhead. (2018). Accurately quantifying the shape of birds’ eggs. Ecology and Evolution. 8(19). 9728–9738. 50 indexed citations

4.

Birkhead, T. R., J.E. Thompson, Duncan E. Jackson, & J. D. Biggins. (2017). The point of a Guillemot's egg. Ibis. 159(2). 255–265. 29 indexed citations

5.

Biggins, J. D., Ben Hambly, & Owen D. Jones. (2011). Multifractal spectra for random self-similar measures via branching processes. Advances in Applied Probability. 43(1). 1–39. 2 indexed citations

6.

Biggins, J. D. & Alireza Sani. (2005). Convergence results on multitype, multivariate branching random walks. Advances in Applied Probability. 37(3). 681–705. 3 indexed citations

7.

Biggins, J. D.. (2004). Large Deviations for Mixtures. Electronic Communications in Probability. 9(none). 16 indexed citations

8.

Biggins, J. D., Harry Cohn, & Olle Nerman. (1999). Multi-type branching in varying environment. Stochastic Processes and their Applications. 83(2). 357–400. 22 indexed citations

9.

Biggins, J. D.. (1998). Lindley-type equations in the branching random walk. Stochastic Processes and their Applications. 75(1). 105–133. 18 indexed citations

10.

Birkhead, T. R. & J. D. Biggins. (1998). Sperm competition mechanisms in birds: models and data. Behavioral Ecology. 9(3). 253–260. 49 indexed citations

11.

Biggins, J. D., et al.. (1993). The supercritical Galton-Watson process in varying environments—Seneta-Heyde norming. Stochastic Processes and their Applications. 48(2). 237–249. 7 indexed citations

12.

Biggins, J. D., et al.. (1993). Scaling and combining examination marks. British Journal of Mathematical and Statistical Psychology. 46(1). 153–179. 3 indexed citations

13.

Biggins, J. D., et al.. (1992). The supercritical Galton-Watson process in varying environments. Stochastic Processes and their Applications. 42(1). 39–47. 33 indexed citations

14.

Biggins, J. D. & Ν. H. Bingham. (1991). Near-constancy phenomena in branching processes. Mathematical Proceedings of the Cambridge Philosophical Society. 110(3). 545–558. 28 indexed citations

15.

Biggins, J. D.. (1990). The central limit theorem for the supercritical branching random walk, and related results. Stochastic Processes and their Applications. 34(2). 255–274. 36 indexed citations

16.

Biggins, J. D.. (1987). A note on repeated sequences in Markov chains. Advances in Applied Probability. 19(3). 739–742. 2 indexed citations

17.

Biggins, J. D.. (1987). A note on repeated sequences in Markov chains. Advances in Applied Probability. 19(3). 739–742. 12 indexed citations

18.

Birkhead, T. R., et al.. (1985). Breeding site characteristics and breeding success in Thick-billed Murres. Canadian Journal of Zoology. 63(8). 1880–1884. 28 indexed citations

19.

Biggins, J. D.. (1978). The asymptotic shape of the branching random walk. Advances in Applied Probability. 10(1). 62–84. 40 indexed citations

20.

Biggins, J. D.. (1976). The first- and last-birth problems for a multitype age-dependent branching process. Advances in Applied Probability. 8(3). 446–459. 66 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.

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