Fractal complexity is a research area that focuses on studying the complex and self-similar patterns found in natural phenomena. Fractals are geometric shapes that exhibit self-similarity at different scales, meaning that they look similar or have similar properties when magnified or reduced in scale. Researchers in the field of fractal complexity study how fractal patterns emerge in various systems and how they contribute to the overall complexity of these systems. This research can involve mathematical modeling, computer simulations, and analysis of real-world data to understand the underlying mechanisms that give rise to fractal patterns. Fractal complexity has applications in a wide range of disciplines, including biology, physics, ecology, and economics, and has helped to better understand the complex and sometimes chaotic behavior of natural systems. By studying fractal complexity, researchers can gain insights into the underlying structures and processes that govern these systems, leading to new discoveries and advancements in science and technology.