Open Knowledge Maps (OKM) is a pioneering non-profit initiative that began in 2016, with a mission to improve the visibility and accessibility of scientific knowledge through innovative visualization tools. Based in Vienna, Austria, it operates the largest visual search engine for research worldwide, allowing users to create knowledge maps that provide immediate overviews of research topics. These maps visually depict the connections between various research papers and concepts, making it significantly easier for users to navigate complex academic landscapes. The platform operates under the principles of open science, ensuring that its source code, content, and data are shared under open licenses. This commitment to transparency and collaboration is evident in its community-driven approach, where stakeholders actively participate in the enhancement of its services. The features of Open Knowledge Maps include a visual search engine that allows for the creation of knowledge maps, catering to a diverse user base that encompasses researchers, students, librarians, educators, and science journalists. The platform also offers custom services for organizations, enabling them to embed Open Knowledge Maps into their own discovery systems. Community engagement is a key aspect, with workshops and training sessions designed to enhance users' discovery skills. Future developments aim to introduce collaborative features, allowing users to edit knowledge maps collectively. The platform sees numerous use cases across various contexts, including academic research, education, library services, and science communication. For academic researchers, OKM facilitates literature exploration, gap identification, and visualization of connections between studies. Educators and students utilize knowledge maps to better understand complex subjects and the relationships between concepts. Libraries can integrate OKM into their catalogs, providing patrons with visual entry points to academic resources. Furthermore, science communicators use the platform to present research findings in an accessible manner, enhancing public understanding of scientific issues. Using Open Knowledge Maps is straightforward; users can access the platform, search for topics, generate knowledge maps, explore connections, and create custom maps for organizational needs. The advantages of using OKM include enhanced discovery through visual representations, commitment to open access, a community-driven approach, and the customizability of services for organizations. However, the platform does have limitations, including a potentially limited scope for niche areas of research, dependence on user-generated content, and a learning curve for new users. Users should consider their research needs, the integration of OKM into existing systems, and the importance of community engagement when utilizing the platform. User reviews highlight a generally positive reception of Open Knowledge Maps, with users appreciating the visual format and collaborative environment it fosters. While some improvements are suggested regarding topic breadth and advanced features, the platform is recognized as a valuable tool for enhancing the discoverability of scientific knowledge. In conclusion, Open Knowledge Maps represents a significant advancement in accessing and visualizing scientific knowledge, emphasizing open science principles and community engagement. It enhances research discoverability across various disciplines, positioning itself as an essential resource for researchers, educators, and practitioners alike.