A. D. Barbour

6.8k total citations · 2 hit papers
155 papers, 4.0k citations indexed

About

A. D. Barbour is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, A. D. Barbour has authored 155 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Statistics and Probability, 61 papers in Mathematical Physics and 36 papers in Artificial Intelligence. Recurrent topics in A. D. Barbour's work include Stochastic processes and statistical mechanics (57 papers), Random Matrices and Applications (44 papers) and Bayesian Methods and Mixture Models (35 papers). A. D. Barbour is often cited by papers focused on Stochastic processes and statistical mechanics (57 papers), Random Matrices and Applications (44 papers) and Bayesian Methods and Mixture Models (35 papers). A. D. Barbour collaborates with scholars based in Switzerland, Australia and United States. A. D. Barbour's co-authors include Sidney I. Resnick, Lars Holst, Simon Tavaré, Richard Arratia, Louis H. Y. Chen, Peter A. Hall, G. K. Eagleson, Aihua Xia, Timothy C. Brown and Ourania Chryssaphinou and has published in prestigious journals such as Nature, Journal of the American Statistical Association and Biometrika.

In The Last Decade

A. D. Barbour

148 papers receiving 3.6k 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.

Poisson Approximation

1992 561 citations A. D. Barbour et al. profile →
Logarithmic Combinatorial Structures: A Probabilistic Approach

2003 253 citations Richard Arratia, A. D. Barbour et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. D. Barbour Switzerland	31	1.7k	1.4k	1.1k	686	612	155	4.0k
Jim Pitman United States	39	1.8k 1.0×	2.8k 2.0×	2.5k 2.4×	398 0.6×	441 0.7×	138	5.7k
Olav Kallenberg United States	20	1.0k 0.6×	1.4k 1.0×	656 0.6×	648 0.9×	508 0.8×	81	3.5k
Peter Ney United States	20	1.3k 0.8×	2.4k 1.8×	723 0.7×	202 0.3×	978 1.6×	58	4.5k
Svante Janson Sweden	41	1.8k 1.0×	3.7k 2.7×	1.3k 1.2×	1.7k 2.4×	443 0.7×	302	8.7k
Krishna B. Athreya United States	26	1.5k 0.9×	2.1k 1.5×	728 0.7×	130 0.2×	699 1.1×	135	3.7k
A. M. Mathai Canada	29	1.4k 0.8×	397 0.3×	593 0.6×	1.5k 2.1×	268 0.4×	187	6.3k
Zhidong Bai China	41	4.5k 2.7×	1.7k 1.2×	1.3k 1.2×	529 0.8×	632 1.0×	238	7.1k
Frank Spitzer United States	26	1.2k 0.7×	2.6k 1.9×	481 0.5×	357 0.5×	597 1.0×	57	4.4k
C. C. Heyde Australia	32	2.4k 1.4×	1.7k 1.2×	1.0k 1.0×	361 0.5×	1.9k 3.1×	187	8.0k
S. N. Ethier United States	18	1.3k 0.7×	2.7k 1.9×	633 0.6×	465 0.7×	736 1.2×	70	6.1k

Countries citing papers authored by A. D. Barbour

Since Specialization

Citations

This map shows the geographic impact of A. D. Barbour'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 A. D. Barbour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. D. Barbour more than expected).

Fields of papers citing papers by A. D. Barbour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. D. Barbour

This figure shows the co-authorship network connecting the top 25 collaborators of A. D. Barbour. A scholar is included among the top collaborators of A. D. Barbour 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 A. D. Barbour. A. D. Barbour 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.

Barbour, A. D., et al.. (2024). Stein’s method, smoothing and functional approximation. Electronic Journal of Probability. 29(none). 3 indexed citations

2.

Barbour, A. D., et al.. (2023). Stein’s method, Gaussian processes and Palm measures, with applications to queueing. The Annals of Applied Probability. 33(5). 4 indexed citations

3.

Arratia, Richard, A. D. Barbour, Warren J. Ewens, & Simon Tavaré. (2018). Simulating the component counts of combinatorial structures. Theoretical Population Biology. 122. 5–11. 3 indexed citations

4.

Barbour, A. D.. (2014). Couplings for locally branching epidemic processes. Journal of Applied Probability. 51(A). 43–56. 1 indexed citations

5.

Barbour, A. D. & P. K. Pollett. (2012). Total variation approximation for quasi-equilibrium distributions, II. Stochastic Processes and their Applications. 122(11). 3740–3756. 9 indexed citations

6.

Rüegg, Simon R., Dominik Heinzmann, A. D. Barbour, & Paul R. Torgerson. (2008). Estimation of the transmission dynamics of Theileria equi and Babesia caballi in horses. Parasitology. 135(5). 555–565. 26 indexed citations

7.

Barbour, A. D., et al.. (2007). On Stein's method and perturbations. Latin American Journal of Probability and Mathematical Statistics. 3. 31–53. 8 indexed citations

8.

Barbour, A. D. & Alexander Gnedin. (2006). Regenerative compositions in the case of slow variation. Stochastic Processes and their Applications. 116(7). 1012–1047. 19 indexed citations

9.

Barbour, A. D. & Boris L. Granovsky. (2004). Random combinatorial structures: the convergent case. Journal of Combinatorial Theory Series A. 109(2). 203–220. 14 indexed citations

10.

Barbour, A. D. & Andrea Pugliese. (2004). Convergence of a structured metapopulation model to Levins?s model. Journal of Mathematical Biology. 49(5). 468–500. 9 indexed citations

11.

Barbour, A. D.. (2001). Simplified estimation of Widmark “r” values by the method of Forrest. Science & Justice. 41(1). 53–54. 13 indexed citations

12.

Barbour, A. D. & Gesine Reinert. (2000). Small worlds. arXiv (Cornell University). 1 indexed citations

13.

Barbour, A. D., Russell Gerrard, & Gesine Reinert. (2000). Iterates of expanding maps. Probability Theory and Related Fields. 116(2). 151–180. 13 indexed citations

14.

Barbour, A. D. & Sergey Utev. (1999). Compound Poisson approximation in total variation. Stochastic Processes and their Applications. 82(1). 89–125. 19 indexed citations

15.

Funk, Georg A., A. D. Barbour, Hans Hengartner, & Ulrich Kalinke. (1998). Mathematical Model of a Virus-neutralizing Immunglobulin Response. Journal of Theoretical Biology. 195(1). 41–52. 26 indexed citations

16.

Barbour, A. D. & Sergey Utev. (1998). Solving the Stein Equation in compound poisson approximation. Advances in Applied Probability. 30(2). 449–475. 33 indexed citations

17.

Arratia, Richard, A. D. Barbour, & Simon Tavaré. (1997). Random combinatorial structures and prime factorizations. Notices of the American Mathematical Society. 44(8). 903–910. 24 indexed citations

18.

Barbour, A. D.. (1996). Modeling the transmission of schistosomiasis: an introductory view. American Journal of Tropical Medicine and Hygiene. 55(5_Suppl). 135–143. 60 indexed citations

19.

Barbour, A. D., et al.. (1993). A host-parasite model yielding heterogeneous parasite loads. Journal of Mathematical Biology. 31(2). 157–76. 20 indexed citations

20.

Barbour, A. D. & Jens Ledet Jensen. (1989). Local and Tail Approximations Near the Poisson Limit. Scandinavian Journal of Statistics. 16(1). 75–87. 30 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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