Flood risk assessment has evolved significantly by integrating advanced technologies such as hydrological modeling, big data analytics, and early warning systems (EWS), enhancing our global capacity to predict and manage flood risks. Despite these technological advances, the increasing frequency and intensity of extreme weather events, primarily driven by climate change (CC), remain a substantial challenge, particularly in urban areas where rapid development, inadequate infrastructure, and changing land use patterns amplify vulnerabilities. The current chapter undertakes an inclusive scientometric analysis of 23,508 articles from the Web of Science (WoS) database, revealing critical research trends and contributions in flood risk, vulnerability, and climate dynamics. Findings emphasize the need for integrated flood risk management strategies that blend structural measures, such as flood defenses, with nonstructural approaches like community engagement and nature-based solutions. Notable research clusters highlight the role of hydrological models, including HEC-HMS, in improving flood prediction accuracy and water resource management. The study identifies persistent challenges in data accuracy and model precision that limit predictive capabilities, underscoring the necessity for nonstop refinement of models and the adoption of advanced strategies for urban resilience. It advocates a holistic approach incorporating socioeconomic, environmental, and governance factors into FR management frameworks to ensure sustainable development. This research ultimately contributes to shaping evidence-based policies and long-term strategies to reduce flood risks, safeguard communities, and strengthen adaptive capacities in the face of escalating climate challenges.