45 citations as recorded by crossref.

1. Multi-hazard risk assessment of rail infrastructure in India under local vulnerabilities towards adaptive pathways for disaster resilient infrastructure planning D. Joshi et al. https://doi.org/10.1016/j.pdisas.2023.100308
2. A nation-wide classification of the Italian Railway Network susceptibility to flood hazard G. Lelli et al. https://doi.org/10.1016/j.ijdrr.2025.105946
3. Primary Disruptions of Extreme Storms and Floods on Critical Entities Under the Framework of the CER EU Directive: The Case of Storm Daniel in Greece M. Diakakis et al. https://doi.org/10.3390/w18080967
4. Hybrid Scour Depth Prediction Equations for Reliable Design of Bridge Piers H. Hamidifar et al. https://doi.org/10.3390/w13152019
5. Assessing the Spatio-Temporal Effects of Climate-Related Extreme Weather Events on South African Railway Infrastructure H. Kunene https://doi.org/10.3390/urbansci10090494
6. Remote sensing and GIS-based mapping of tree fall risk and hazard along railway lines in Germany M. Cueva et al. https://doi.org/10.1007/s12518-026-00769-0
7. Estimating coastal flood damage costs to transit infrastructure under future sea level rise M. Martello & A. Whittle https://doi.org/10.1038/s43247-023-00804-7
8. Extreme Events, Critical Infrastructures, Human Vulnerability and Strategic Planning: Emerging Research Issues J. Birkmann et al. https://doi.org/10.1142/S2345737616500172
9. Flood Risk Assessment Methodology for Complex Railway Networks: Application to the National Rail Network in Great Britain O. Ilalokhoin et al. https://doi.org/10.1061/NHREFO.NHENG-1911
10. The effects of flooding on railway infrastructure: A literature review M. Ochsner et al. https://doi.org/10.1016/j.trpro.2023.11.654
11. Flood Exposure Assessment of Railway Infrastructure: A Case Study for Iowa Y. Alabbad et al. https://doi.org/10.3390/app15168992
12. Review article: Physical vulnerability database for critical infrastructure hazard risk assessments – a systematic review and data collection S. Nirandjan et al. https://doi.org/10.5194/nhess-24-4341-2024
13. Local Scour Around Riprap-Protected Bridge Piers with Debris Accumulation F. Zanganeh-Inaloo et al. https://doi.org/10.1007/s40996-023-01034-9
14. A GIS-Based Flooding Indicator for Heavy Rainfall Hazards Along the German Railway Network: Case Study Nordrhein-Westfalen F. von den Driesch & S. Szymczak https://doi.org/10.3390/w18131533
15. An in-depth comparative analysis of data-driven and classic regression models for scour depth prediction around cylindrical bridge piers M. Fuladipanah et al. https://doi.org/10.1007/s13201-023-02022-0
16. The impact of precipitation changes on the safety of railway operations in China under the background of climate change Y. Jiang et al. https://doi.org/10.3389/feart.2024.1319736
17. Climate change risks on railway infrastructure: A systematic review and analysis E. Haghighi et al. https://doi.org/10.1016/j.scs.2025.106504
18. Identifying locations along railway networks with the highest tree fall hazard M. Bíl et al. https://doi.org/10.1016/j.apgeog.2017.07.012
19. Prediction of train arrival delays considering route conflicts at multi-line stations Z. Li et al. https://doi.org/10.1016/j.trc.2022.103606
20. Economic risk criteria for dams considering the relative level of economy and industrial economic contribution W. Ge et al. https://doi.org/10.1016/j.scitotenv.2020.138139
21. The Science behind Scour at Bridge Foundations: A Review A. Pizarro et al. https://doi.org/10.3390/w12020374
22. Indirect flood impacts and cascade risk across interdependent linear infrastructures C. Arrighi et al. https://doi.org/10.5194/nhess-21-1955-2021
23. Railway geohazards: global perspectives on modes, risks, and mitigation strategies D. Zhang et al. https://doi.org/10.1016/j.enggeo.2025.108396
24. A Bayesian network model to predict the effects of interruptions on train operations P. Huang et al. https://doi.org/10.1016/j.trc.2020.02.021
25. A novel extreme gradient boosting algorithm based model for predicting the scour risk around bridge piers: application to French railway bridges T. Wang et al. https://doi.org/10.1080/19648189.2022.2072957
26. Global warming to increase flood risk on European railways P. Bubeck et al. https://doi.org/10.1007/s10584-019-02434-5
27. System vulnerability to flood events and risk assessment of railway systems based on national and river basin scales in China W. Zhu et al. https://doi.org/10.5194/nhess-22-1519-2022
28. Classifying climate-related failures for regional-national railway networks A. Karbalaie et al. https://doi.org/10.1016/j.crm.2025.100764
29. Natural hazard impacts on transport infrastructure in Russia E. Petrova https://doi.org/10.5194/nhess-20-1969-2020
30. A methodological framework for flood hazard assessment for land transport infrastructures C. Samela et al. https://doi.org/10.1016/j.ijdrr.2022.103491
31. Resilience of Railway Transport to Four Types of Natural Hazards: An Analysis of Daily Train Volumes V. Fabella & S. Szymczak https://doi.org/10.3390/infrastructures6120174
32. Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition P. Huang et al. https://doi.org/10.1016/j.eswa.2021.114996
33. Critical node failure, impact and recovery strategy for metro network under extreme flooding in Shanghai D. Jing et al. https://doi.org/10.1016/j.ijdrr.2025.105414
34. Artificial Intelligence-Based Regional Flood Frequency Analysis Methods: A Scoping Review A. Zalnezhad et al. https://doi.org/10.3390/w14172677
35. Flood impacts on individual well-being: insights from a post-event survey across differently exposed groups in Marche region, Italy S. Rrokaj et al. https://doi.org/10.1007/s11069-026-08045-5
36. A digital elevation model based method for a rapid estimation of flood inundation depth S. Manfreda & C. Samela https://doi.org/10.1111/jfr3.12541
37. Dynamic Clustering and Anomaly Detection of Train Delays in Stream Data: An Incremental Dirichlet Process Approach P. Shen et al. https://doi.org/10.1109/TITS.2025.3566042
38. Aerial Footage Analysis Using Computer Vision for Efficient Detection of Points of Interest Near Railway Tracks R. Sharma et al. https://doi.org/10.3390/aerospace9070370
39. Estimating the hazard of tree fall along railway lines: a new GIS tool S. Szymczak et al. https://doi.org/10.1007/s11069-022-05263-5
40. Implications of climate change for railway infrastructure E. Palin et al. https://doi.org/10.1002/wcc.728
41. Estimating railway resilience curves: recovery duration and train traffic response to floods and tree fall V. Fabella & S. Szymczak https://doi.org/10.1016/j.trpro.2023.11.671
42. Idealisations of Dynamic Modelling for Railway Ballast in Flood Conditions S. Kaewunruen & T. Tang https://doi.org/10.3390/app9091785
43. Amplified impacts of tropical cyclone-induced compound wind-rain hazards on high-speed rail passengers H. Zhang et al. https://doi.org/10.1016/j.trd.2025.105023
44. Toward an adequate level of detail in flood risk assessments T. Sieg et al. https://doi.org/10.1111/jfr3.12889
45. A review of floodwater impacts on the stability of transportation embankments I. Johnston et al. https://doi.org/10.1016/j.earscirev.2021.103553