John D. Biggins

4.1k citations
61 papers · 3k · h-index 27

Impact in

    • Stochastic processes and statistical mechanics
    • Mathematical Dynamics and Fractals
    • Probability and Statistical Research
    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference

Papers in

John D. Biggins

61 papers receiving 2.8k citations

Peers

John D. Biggins
Comparison fields: 5 of 118
  • Mathematical Physics 1.5k
  • Statistics and Probability 627
  • Ecology, Evolution, Behavior and Systematics 351
  • Discrete Mathematics and Combinatorics 84
  • Management Science and Operations Research 132
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Citations per field
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Citations per year

Countries citing papers authored by John D. Biggins

Since Specialization
Citations

This map shows the geographic impact of John 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 John 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 John D. Biggins more than expected).

Fields of papers citing papers by John D. Biggins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John 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 John D. Biggins. The network helps show where John D. Biggins may publish in the future.

Co-authors

The 25 scholars most cited alongside John D. Biggins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John D. Biggins Line = papers co-authored together John D. Biggins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988804
2 1977211
3 1977131
4 2004130
5 1976125
6 1994120
7 1992117
8 1987107
9 199792
10 200472
11 200564
12 199562
13 197861
14 197960
15 199358
16 199852
17 201852
18 199038
19 199738
20
The Functional Equation of the Smoothing Transform
201038

About John D. Biggins

John D. Biggins is a scholar working on Mathematical Physics, Statistics and Probability, Ecology, Evolution, Behavior and Systematics, Ecology and Management Science and Operations Research, having authored 61 papers that have together received 3k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (37 papers), Animal Behavior and Reproduction (8 papers), Probability and Statistical Research (7 papers), Avian ecology and behavior (6 papers), Psychometric Methodologies and Testing (3 papers), Morphological variations and asymmetry (3 papers), Mathematical Dynamics and Fractals (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Mathematical Physics (1.5k citations), Statistics and Probability (627 citations), Ecology, Evolution, Behavior and Systematics (351 citations), Discrete Mathematics and Combinatorics (84 citations) and Management Science and Operations Research (132 citations). John D. Biggins has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include Erich L. Lehmann, T. R. Birkhead, Andreas E. Kyprianou, Ν. H. Bingham, Amir Dembo, Ofer Zeitouni, Graham J. Wishart, C. Cannings, D. R. Grey and Terry A. Burke. Their work appears in journals such as Advances in Applied Probability, Stochastic Processes and their Applications, Journal of Applied Probability, The Annals of Applied Probability and Electronic Communications in Probability.

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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