Colm Connaughton

2.4k total citations · 1 hit paper
62 papers, 1.8k citations indexed

About

Colm Connaughton is a scholar working on Statistical and Nonlinear Physics, Oceanography and Computational Mechanics. According to data from OpenAlex, Colm Connaughton has authored 62 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistical and Nonlinear Physics, 13 papers in Oceanography and 12 papers in Computational Mechanics. Recurrent topics in Colm Connaughton's work include Ocean Waves and Remote Sensing (11 papers), Fluid Dynamics and Turbulent Flows (10 papers) and Complex Network Analysis Techniques (8 papers). Colm Connaughton is often cited by papers focused on Ocean Waves and Remote Sensing (11 papers), Fluid Dynamics and Turbulent Flows (10 papers) and Complex Network Analysis Techniques (8 papers). Colm Connaughton collaborates with scholars based in United Kingdom, United States and France. Colm Connaughton's co-authors include Robert W. Kay, Van Duong Ta, Jonathan D. Shephard, Jonathan Stringer, Patrick J. Smith, Thomas J. Wasley, Sergey Nazarenko, Andrew K. Dunn, Oleg Zaboronski and Emre Esentürk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Fluid Mechanics.

In The Last Decade

Colm Connaughton

59 papers receiving 1.7k citations

Hit Papers

Nanosecond laser textured superhydrophobic metallic surfa... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colm Connaughton United Kingdom 20 533 423 362 265 257 62 1.8k
Darren Crowdy United Kingdom 28 1.4k 2.6× 364 0.9× 277 0.8× 382 1.4× 211 0.8× 179 2.8k
Fernando Reitich United States 27 352 0.7× 267 0.6× 329 0.9× 69 0.3× 736 2.9× 78 2.4k
Robert Finn United States 28 1.2k 2.3× 580 1.4× 197 0.5× 166 0.6× 301 1.2× 128 3.3k
Leonard W. Schwartz United States 38 2.4k 4.5× 918 2.2× 304 0.8× 154 0.6× 427 1.7× 78 3.8k
H. K. Moffatt United Kingdom 23 1.7k 3.2× 169 0.4× 161 0.4× 338 1.3× 139 0.5× 58 2.9k
R. V. Craster United Kingdom 22 463 0.9× 77 0.2× 327 0.9× 136 0.5× 161 0.6× 50 1.4k
L. M. Hocking United Kingdom 30 2.1k 3.9× 924 2.2× 215 0.6× 218 0.8× 375 1.5× 64 3.1k
Héctor D. Ceniceros United States 24 1.0k 2.0× 177 0.4× 66 0.2× 85 0.3× 221 0.9× 53 2.0k
Ingve Simonsen Norway 23 263 0.5× 168 0.4× 57 0.2× 390 1.5× 234 0.9× 95 1.7k
E. O. Tuck Australia 28 1.6k 3.0× 139 0.3× 155 0.4× 87 0.3× 119 0.5× 111 2.9k

Countries citing papers authored by Colm Connaughton

Since Specialization
Citations

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

Fields of papers citing papers by Colm Connaughton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colm Connaughton

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

All Works

20 of 20 papers shown
1.
Rodrigues, Francisco A., Thomas Peron, Colm Connaughton, Jürgen Kurths, & Yamir Moreno. (2025). A machine learning approach to predicting dynamical observables from network structure. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 481(2306). 1 indexed citations
2.
Connaughton, Colm, et al.. (2024). Impact of the COVID-19 pandemic on dengue in Brazil: Interrupted time series analysis of changes in surveillance and transmission. PLoS neglected tropical diseases. 18(12). e0012726–e0012726. 3 indexed citations
3.
Connaughton, Colm, et al.. (2021). A non-parametric Hawkes process model of primary and secondary accidents on a UK smart motorway. IRIS Research product catalog (Sapienza University of Rome). 7 indexed citations
4.
Connaughton, Colm, et al.. (2020). Narrative structure of A Song of Ice and Fire creates a fictional world with realistic measures of social complexity. Proceedings of the National Academy of Sciences. 117(46). 28582–28588. 13 indexed citations
5.
Connaughton, Colm, et al.. (2020). Disease and information spreading at different speeds in multiplex networks. Physical review. E. 102(2). 22312–22312. 34 indexed citations
6.
Esentürk, Emre & Colm Connaughton. (2020). Role of zero clusters in exchange-driven growth with and without input. Physical review. E. 101(5). 52134–52134. 1 indexed citations
7.
Connaughton, Colm, et al.. (2019). Epidemic spreading with awareness and different timescales in multiplex networks. Physical review. E. 100(3). 32313–32313. 58 indexed citations
8.
Connaughton, Colm, et al.. (2018). Stationary mass distribution and nonlocality in models of coalescence and shattering. Physical review. E. 97(2). 22137–22137. 13 indexed citations
9.
Connaughton, Colm, et al.. (2018). Estimating Baseline Travel Times for the UK Strategic Road Network. 531–536. 4 indexed citations
10.
Connaughton, Colm, et al.. (2017). Fitness voter model: Damped oscillations and anomalous consensus. Physical review. E. 96(3). 32313–32313. 8 indexed citations
11.
Connaughton, Colm, Alan C. Newell, & Yves Pomeau. (2015). Non-stationary spectra of local wave turbulence. 6 indexed citations
12.
Ball, R. C., et al.. (2012). Collective Oscillations in Irreversible Coagulation Driven by Monomer Inputs and Large-Cluster Outputs. Physical Review Letters. 109(16). 168304–168304. 29 indexed citations
13.
Connaughton, Colm, R. Rajesh, & Oleg Zaboronski. (2008). Constant flux relation for diffusion-limited cluster-cluster aggregation. Physical Review E. 78(4). 41403–41403. 8 indexed citations
14.
Chertkov, Michael, Colm Connaughton, I. V. Kolokolov, & В. В. Лебедев. (2007). Dynamics of Energy Condensation in Two-Dimensional Turbulence. Physical Review Letters. 99(8). 84501–84501. 125 indexed citations
15.
Connaughton, Colm, R. Rajesh, & Oleg Zaboronski. (2007). Constant Flux Relation for Driven Dissipative Systems. Physical Review Letters. 98(8). 80601–80601. 10 indexed citations
16.
Connaughton, Colm, Christophe Josserand, Antonio Picozzi, Yves Pomeau, & Sergio Rica. (2005). Condensation of Classical Nonlinear Waves. Physical Review Letters. 95(26). 263901–263901. 133 indexed citations
17.
Connaughton, Colm, R. Rajesh, & Oleg Zaboronski. (2005). Breakdown of Kolmogorov Scaling in Models of Cluster Aggregation. Physical Review Letters. 94(19). 194503–194503. 20 indexed citations
18.
Connaughton, Colm, R. Rajesh, & Oleg Zaboronski. (2004). Stationary Kolmogorov solutions of the Smoluchowski aggregation equation with a source term. Physical Review E. 69(6). 61114–61114. 32 indexed citations
19.
Connaughton, Colm & Sergey Nazarenko. (2004). Warm Cascades and Anomalous Scaling in a Diffusion Model of Turbulence. Physical Review Letters. 92(4). 44501–44501. 65 indexed citations
20.
Connaughton, Colm, Sergey Nazarenko, & A. N. Pushkarev. (2001). Discreteness and quasiresonances in weak turbulence of capillary waves. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(4). 46306–46306. 26 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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