Rhys Bowden

1.9k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Rhys Bowden is a scholar working on Computer Networks and Communications, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Rhys Bowden has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Statistics and Probability and 4 papers in Artificial Intelligence. Recurrent topics in Rhys Bowden's work include Statistical Methods and Bayesian Inference (6 papers), Statistical Methods in Clinical Trials (5 papers) and Complex Network Analysis Techniques (3 papers). Rhys Bowden is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Statistical Methods in Clinical Trials (5 papers) and Complex Network Analysis Techniques (3 papers). Rhys Bowden collaborates with scholars based in Australia, United Kingdom and United States. Rhys Bowden's co-authors include Matthew Roughan, Nickolas Falkner, Simon Knight, Hung Nguyen, Andrew Forbes, Jessica Kasza, Joel Sommers, Paul Barford, Brian Eriksson and Nick Duffield and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Clinical Epidemiology and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Rhys Bowden

18 papers receiving 1.3k citations

Hit Papers

The Internet Topology Zoo 2011 2026 2016 2021 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rhys Bowden Australia 8 1.2k 476 180 144 64 18 1.3k
Hung Nguyen Australia 14 1.5k 1.3× 624 1.3× 287 1.6× 183 1.3× 106 1.7× 60 1.8k
Philippe Owezarski France 14 849 0.7× 162 0.3× 470 2.6× 106 0.7× 54 0.8× 50 949
Michele Garetto Italy 28 2.4k 2.1× 817 1.7× 135 0.8× 111 0.8× 125 2.0× 98 2.6k
Christian Scheideler Germany 26 1.7k 1.5× 230 0.5× 242 1.3× 127 0.9× 40 0.6× 135 1.9k
Suresh Rai United States 15 542 0.5× 211 0.4× 244 1.4× 77 0.5× 30 0.5× 53 1.0k
Wing Cheong Lau Hong Kong 17 888 0.8× 381 0.8× 450 2.5× 337 2.3× 30 0.5× 94 1.3k
Do Young Eun United States 18 870 0.8× 378 0.8× 92 0.5× 60 0.4× 229 3.6× 78 1.1k
Marios Mavronicolas Cyprus 16 669 0.6× 88 0.2× 134 0.7× 46 0.3× 86 1.3× 80 1.0k
Jean-Chrysostome Bolot France 15 1.3k 1.1× 517 1.1× 93 0.5× 42 0.3× 93 1.5× 27 1.4k

Countries citing papers authored by Rhys Bowden

Since Specialization
Citations

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

Fields of papers citing papers by Rhys Bowden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rhys Bowden

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

All Works

18 of 18 papers shown
1.
Hemming, Karla, Jacqueline Thompson, Caroline Kristunas, et al.. (2025). The performance of small sample correction methods for controlling type I error when analyzing parallel cluster randomized trials: a systematic review of simulation studies. Journal of Clinical Epidemiology. 185. 111838–111838. 1 indexed citations
2.
Ryan, Elizabeth, Caroline X. Gao, Kelsey L. Grantham, et al.. (2024). Advancing randomized controlled trial methodologies: The place of innovative trial design in eating disorders research. International Journal of Eating Disorders. 57(6). 1337–1349. 5 indexed citations
3.
Kasza, Jessica, et al.. (2023). Does it decay? Obtaining decaying correlation parameter values from previously analysed cluster randomised trials. Statistical Methods in Medical Research. 32(11). 2123–2134. 5 indexed citations
4.
Kasza, Jessica, Rhys Bowden, Richard Hooper, & Andrew Forbes. (2022). The batched stepped wedge design: A design robust to delays in cluster recruitment. Statistics in Medicine. 41(18). 3627–3641. 14 indexed citations
5.
Kasza, Jessica, et al.. (2022). Use of information criteria for selecting a correlation structure for longitudinal cluster randomised trials. Clinical Trials. 19(3). 316–325. 7 indexed citations
6.
Kasza, Jessica, Rhys Bowden, & Andrew Forbes. (2021). Information content of stepped wedge designs with unequal cluster‐period sizes in linear mixed models: Informing incomplete designs. Statistics in Medicine. 40(7). 1736–1751. 11 indexed citations
7.
Bowden, Rhys, Andrew Forbes, & Jessica Kasza. (2021). On the centrosymmetry of treatment effect estimators for stepped wedge and related cluster randomized trial designs. Statistics & Probability Letters. 172. 109022–109022. 6 indexed citations
8.
Bowden, Rhys, Andrew Forbes, & Jessica Kasza. (2021). Inference for the treatment effect in longitudinal cluster randomized trials when treatment effect heterogeneity is ignored. Statistical Methods in Medical Research. 30(11). 2503–2525. 5 indexed citations
9.
Bowden, Rhys, Paul Keeler, A. E. Krzesinski, & Peter Taylor. (2020). Modeling and analysis of block arrival times in the Bitcoin blockchain. Stochastic Models. 36(4). 602–637. 13 indexed citations
10.
Bowden, Rhys & Darryl Veitch. (2017). Finding the Right Tree: Topology Inference Despite Spatial Dependences. IEEE Transactions on Information Theory. 64(6). 4594–4609. 5 indexed citations
11.
Bowden, Rhys, Matthew Roughan, & Nigel Bean. (2014). COLD. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 173–184. 4 indexed citations
12.
Bowden, Rhys, Hung Nguyen, Nickolas Falkner, Simon Knight, & Matthew Roughan. (2011). Planarity of data networks. 254–261. 5 indexed citations
13.
Sommers, Joel, Rhys Bowden, Brian Eriksson, et al.. (2011). Efficient network-wide flow record generation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 2363–2371. 33 indexed citations
14.
Nguyen, Hung, et al.. (2011). Generalized graph products for network design and analysis. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 79–88. 14 indexed citations
15.
Bowden, Rhys, Matthew Roughan, & Nigel Bean. (2011). Network link tomography and compressive sensing. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 159–160. 3 indexed citations
16.
Knight, Simon, Hung Nguyen, Nickolas Falkner, Rhys Bowden, & Matthew Roughan. (2011). The Internet Topology Zoo. IEEE Journal on Selected Areas in Communications. 29(9). 1765–1775. 1178 indexed citations breakdown →
17.
Eriksson, Brian, Paul Barford, Rhys Bowden, et al.. (2010). BasisDetect. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 451–464. 19 indexed citations
18.
Bowden, Rhys, et al.. (2007). Idle Times Analysis in a CSMA/CA Network. 443–448. 1 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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