Creating incredibly realistic images and videos using advanced deep learning has become a big concern in today’s digital world. The spread of deepfake content is a serious threat to public trust, especially in politics, security, and personal life. These technologies are accessible and sophisticated. So, developing detection methods is crucial. This helps combat disinformation. It also maintains media credibility. Research into deepfake detection is growing rapidly. This paper offers a detailed look on impressive rapid growth of the field, it focuses on trends from 2020 to 2024, with immense global collaboration, having wide range of approaches and diversity impact and recognition shows that deepfake detection is a critical and rapidly growing area of study. The findings show this is a fast-evolving field. There are many research challenges and strong global collaboration. The field had a high initial impact. But the average citation rate has decreased over time. This indicates growth and maturity in the field. Several countries have made significant contributions. China, in particular, stands out. This study highlights the current state of deepfake detection research and suggests where it might go in the future, pointing out key themes and influential papers. In short, as deepfake technology continues to evolve, our detection methods need to keep up. This research not only documents the current state of deepfake detection but also aims to inspire future developments to prevent the misuse of this powerful technology.