Colm Connaughton

University of Warwick — United Kingdom

Engineering · Physical Sciences

25h-index2.4kcitations120works3.32yr avg
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Research Topics

Fluid Dynamics and Turbulent Flows(16), Ocean Waves and Remote Sensing(15), Traffic Prediction and Management Techniques(12), Complex Network Analysis Techniques(11), Oceanographic and Atmospheric Processes(11)

Publications120 total

Correction: Impact of the COVID-19 pandemic on dengue in Brazil: Interrupted time series analysis of changes in surveillance and transmission
PLoS neglected tropical diseases·2025Open Access
A machine learning approach to predicting dynamical observables from network structure
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences·2025· 3 citedOpen Access
Impact of the COVID-19 pandemic on dengue in Brazil: Interrupted time series analysis of changes in surveillance and transmission
PLoS neglected tropical diseases·2024· 10 citedOpen Access
Ergodicity transformations predict human decision-making under risk
2024Open Access
Machine learning-based prediction of Q-voter model in complex networks
Journal of Statistical Mechanics Theory and Experiment·2023· 5 citedOpen Access
Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations
arXiv (Cornell University)·2023· 3 citedOpen Access
Machine learning-based prediction of Q-voter model in complex networks
arXiv (Cornell University)·2023Open Access
Are risk preferences optimal?
2023· 2 citedOpen Access
Distinguishing Risk Preferences using Repeated Gambles
arXiv (Cornell University)·2023· 1 citedOpen Access
Cultural heterogeneity constrains diffusion of innovations
arXiv (Cornell University)·2023Open Access
Cultural heterogeneity constrains diffusion of innovations
Europhysics Letters (EPL)·2023· 5 citedOpen Access
Estimating the impact of the COVID-19 pandemic on dengue in Brazil
2023· 5 citedOpen Access
Machine learning for the prediction of voter model opinions through complex network structures
arXiv (Cornell University)·2022Open Access
Forecasting new diseases in low-data settings using transfer learning
Chaos Solitons & Fractals·2022Open Access
Machine-Learning–Based Forecasting of Dengue Fever in Brazilian Cities Using Epidemiologic and Meteorological Variables
American Journal of Epidemiology·2022· 42 cited
The drivers of systemic risk in financial networks: a data-driven machine learning analysis
Chaos Solitons & Fractals·2021· 36 cited
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations
2021· 7 cited
1218Estimating the causal effect of mobility on Dengue during the COVID-19 pandemic
International Journal of Epidemiology·2021Open Access
1222Estimating the causal effect of mobility on Dengue during the COVID-19 pandemic
International Journal of Epidemiology·2021· 1 citedOpen Access
Dynamic and Interpretable Hazard-Based Models of Traffic Incident Durations
Frontiers in Future Transportation·2021· 3 citedOpen Access
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Frequent Co-authors

Oleg Zaboronski(10), R. Rajesh(9), Van Duong Ta(7), Robert W. Kay(7), Jonathan Stringer(7), Jonathan D. Shephard(7), Thomas J. Wasley(6), Patrick J. Smith(6), Emre Esentürk(6), Sergey Nazarenko(6), Francisco A. Rodrigues(6), Alan C. Newell(4), Andrew K. Dunn(3), Yves Pomeau(3), Federico Vázquez(3), Yamir Moreno(3), Mahesh Bandi(3), Fátima Velásquez-Rojas(2), Brenda Quinn(2), J. Li(2)