Andrew D. Barbour

66 total papers · 1.6k total citations
48 papers, 996 citations indexed

About

Andrew D. Barbour is a scholar working on Mathematical Physics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Andrew D. Barbour has authored 48 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mathematical Physics, 10 papers in Artificial Intelligence and 10 papers in Statistics and Probability. Recurrent topics in Andrew D. Barbour's work include Stochastic processes and statistical mechanics (19 papers), Bayesian Methods and Mixture Models (9 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (9 papers). Andrew D. Barbour is often cited by papers focused on Stochastic processes and statistical mechanics (19 papers), Bayesian Methods and Mixture Models (9 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (9 papers). Andrew D. Barbour collaborates with scholars based in Switzerland, United Kingdom and United States. Andrew D. Barbour's co-authors include Robert D. Martín, Aihua Xia, Louis H. Y. Chen, Gesine Reinert, Rob J. de Boer, Sebastian Bonhoeffer, Andrea Pugliese, Peter Gallant, Toby Hulf and Paola Bellosta and has published in prestigious journals such as Nature Communications, Molecular and Cellular Biology and Applied and Environmental Microbiology.

In The Last Decade

Andrew D. Barbour

47 papers receiving 930 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Andrew D. Barbour	199	186	184	153	139	48	996
Charles Tier	83 0.4×	70 0.4×	69 0.4×	104 0.7×	113 0.8×	59	931
Sylvie Méléard	297 1.5×	131 0.7×	107 0.6×	59 0.4×	158 1.1×	45	801
J. Radcliffe	382 1.9×	362 1.9×	139 0.8×	115 0.8×	215 1.5×	44	888
Sylvie Méléard	317 1.6×	327 1.8×	92 0.5×	77 0.5×	406 2.9×	36	957
Philippe Picard	272 1.4×	265 1.4×	225 1.2×	107 0.7×	75 0.5×	96	1.2k
Nicolas Champagnat	244 1.2×	403 2.2×	66 0.4×	121 0.8×	552 4.0×	43	932
Carlos A. Braumann	91 0.5×	195 1.0×	58 0.3×	62 0.4×	168 1.2×	37	972
Serik Sagitov	511 2.6×	118 0.6×	157 0.9×	188 1.2×	409 2.9×	63	919
Michael Frey	37 0.2×	28 0.2×	62 0.3×	91 0.6×	60 0.4×	46	1.2k
Samuel Goldberg	72 0.4×	130 0.7×	60 0.3×	24 0.2×	112 0.8×	21	1.2k

Countries citing papers authored by Andrew D. Barbour

Since Specialization

Citations

This map shows the geographic impact of Andrew 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 Andrew 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 Andrew D. Barbour more than expected).

Fields of papers citing papers by Andrew D. Barbour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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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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