Aidan Sudbury

94 total papers · 2.1k total citations
68 papers, 1.4k citations indexed

About

Aidan Sudbury is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Condensed Matter Physics. According to data from OpenAlex, Aidan Sudbury has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Mathematical Physics, 28 papers in Statistical and Nonlinear Physics and 24 papers in Condensed Matter Physics. Recurrent topics in Aidan Sudbury's work include Stochastic processes and statistical mechanics (40 papers), Theoretical and Computational Physics (24 papers) and Complex Network Analysis Techniques (22 papers). Aidan Sudbury is often cited by papers focused on Stochastic processes and statistical mechanics (40 papers), Theoretical and Computational Physics (24 papers) and Complex Network Analysis Techniques (22 papers). Aidan Sudbury collaborates with scholars based in Australia, United Kingdom and United States. Aidan Sudbury's co-authors include Peter Clifford, R. M. Phatarfod, Gregory B. Thomas, Iain J. Clarke, Philip McCloud, J. T. Cummins, Heather Francis, Crispin Wright, Trygve Nilsen and Norman Kaplan and has published in prestigious journals such as Endocrinology, Biometrika and Statistics in Medicine.

In The Last Decade

Aidan Sudbury

64 papers receiving 1.3k citations

Hit Papers

A model for spatial conflict 1973 2026 1990 2008 1973 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Aidan Sudbury 766 323 276 199 139 68 1.4k
Imre Kondor 709 0.9× 220 0.7× 80 0.3× 688 3.5× 76 0.5× 55 1.8k
Eduardo López 620 0.8× 90 0.3× 138 0.5× 123 0.6× 19 0.1× 64 1.2k
Fragkiskos Papadopoulos 1.1k 1.4× 126 0.4× 140 0.5× 68 0.3× 16 0.1× 39 1.8k
Jan Nagler 656 0.9× 157 0.5× 121 0.4× 232 1.2× 5 0.0× 63 1.5k
A. N. Samukhin 1.3k 1.6× 185 0.6× 143 0.5× 259 1.3× 33 0.2× 23 1.6k
Markus Klein 288 0.4× 362 1.1× 182 0.7× 140 0.7× 149 1.1× 79 1.1k
G. J. Rodgers 873 1.1× 245 0.8× 118 0.4× 382 1.9× 141 1.0× 83 1.5k
Francesca Colaiori 569 0.7× 224 0.7× 83 0.3× 449 2.3× 84 0.6× 46 1.6k
J. Theodore Cox 372 0.5× 829 2.6× 136 0.5× 376 1.9× 386 2.8× 62 1.3k
Leah B. Shaw 428 0.6× 268 0.8× 131 0.5× 248 1.2× 128 0.9× 42 1.4k

Countries citing papers authored by Aidan Sudbury

Since Specialization
Citations

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

Fields of papers citing papers by Aidan Sudbury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aidan Sudbury. 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 Aidan Sudbury. The network helps show where Aidan Sudbury may publish in the future.

Co-authorship network of co-authors of Aidan Sudbury

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