35 citations as recorded by crossref.

1. A two-time-scale point process model of water main breaks for infrastructure asset management P. Lin & X. Yuan
2. Comparative Study of Three Stochastic Models for Prediction of Pipe Failures in Water Supply Systems A. Martins et al.
3. Conceptual Water Main Failure Risk: Self-Excitation, Pipe Age, and Statistical Modeling Performance C. Hammond et al.
4. An Approach to Predict the Failure of Water Mains Under Climatic Variations Z. Almheiri et al.
5. Integrated approach for pipe failure prediction and condition scoring in water infrastructure systems T. Rifaai et al.
6. Comparative Review of Water Main Failure Prediction Models: Physical and Data-Driven Approaches M. Khashei et al.
7. Predicting the Timing of Water Main Failure Using Artificial Neural Networks R. Harvey et al.
8. Review of statistical water main break prediction models M. Nishiyama & Y. Filion
9. An Optimal Maintenance and Replacement Strategy for Deteriorating Water Mains P. Lin et al.
10. A novel ‘pressure index’ for predicting number of pipe bursts in water distribution system S. Akbarkhiavi & M. Imteaz
11. An evolution of statistical pipe failure models for drinking water networks: a targeted review N. Barton et al.
12. Scheduling Renewal of Water Pipes While Considering Adjacency of Infrastructure Works and Economies of Scale A. Nafi & Y. Kleiner
13. Analysis of risk management methods used in trenchless renewal decision making G. Vladeanu & J. Matthews
14. Extending the Yule process to model recurrent pipe failures in water supply networks Y. Le Gat
15. Prioritizing Water Mains for Inspection and Maintenance Considering System Reliability and Risk H. Phan et al.
16. Role of Cathodic Protection on Physical Condition and Pipe Break Linkage T. Dodanwala et al.
17. Extension of pipe failure models to consider the absence of data from replaced pipes A. Scheidegger et al.
18. Performance Estimation of a Remote Field Eddy Current Method for the Inspection of Water Distribution Pipes S. Duchesne et al.
19. Minimising the total cost of renewal and risk of water infrastructure assets by grouping renewal interventions M. Rokstad & R. Ugarelli
20. A data-driven framework for failure probability prediction of water supply pipelines: Integrating feature selection and homogeneous grouping C. Zong et al.
21. Probability of network disconnection of water distribution system for maintenance prioritization H. Phan et al.
22. Analysis and Modeling of Pressure Pipe Failures in Auckland, New Zealand L. Lopez et al.
23. Review on Statistical Based Methods of Measuring the Water Pipes Reliability A. Bubtiena et al.
24. Comparison of Pipeline Failure Prediction Models for Water Distribution Networks with Uncertain and Limited Data L. Jenkins et al.
25. Comparison of Statistical Deterioration Models for Water Distribution Networks H. Osman & K. Bainbridge
26. Analysis of Wastewater and Water System Renewal Decision-Making Tools and Approaches J. Matthews et al.
27. Risk Assessment Methods for Urban Water Distribution Networks: A State-of-the-Art Review of Indicator, Statistical, and Machine Learning Approaches G. Chen et al.
28. A review of climatic impacts on water main deterioration T. Ahmad et al.
29. Modeling the Frequency of Water Main Breaks in Water Distribution Systems: Random-Parameters Negative-Binomial Approach H. Zamenian et al.
30. Research on pipe burst in water distribution systems: knowledge structure and emerging trends C. Wang et al.
31. Efficacy of Tree-Based Models for Pipe Failure Prediction and Condition Assessment: A Comprehensive Review M. Latifi et al.
32. A comparison between multivariate adaptive regression splines and regressive convolution neural network with support vector regression for pipe burst rate prediction on limited dataset A. Ravanbakhsh et al.
33. Bayesian Belief Networks for predicting drinking water distribution system pipe breaks R. Francis et al.
34. A comprehensive criteria-based multi-attribute decision-making model for rehabilitation of water distribution systems S. Salehi et al.
35. Statistical failure models for water distribution pipes – A review from a unified perspective A. Scheidegger et al.