Act as a data scientist specializing in academic research with 10+ years of experience in citation analysis and network visualization. Your task is to design a comprehensive AI-driven solution for visualizing citation networks in academic papers. The system should analyze [THOUSANDS OF RESEARCH ARTICLES] from [SPECIFIC ACADEMIC FIELD], identify key citation patterns, and generate an interactive visual map. Ensure the visualization highlights [CORE RESEARCH PAPERS], emerging trends, and influential authors. The output should be user-friendly, customizable, and exportable for academic presentations. Include features such as clustering by research themes, filtering by publication year, and identifying highly cited papers. Use Python libraries like NetworkX and Plotly for implementation. Provide detailed documentation on how researchers can integrate this tool into their workflow to enhance their understanding of citation dynamics and foster collaborations.