AuthNet: A Framework for Research Expert Discovery and Network Visualization Based on Topic-Specific Queries
摘要
Identifying top researchers in specific fields or methods can be challenging with existing academic search tools. We propose a system that enables users to search for popular authors based on specific keywords or methods and explore their academic networks. The system retrieves recent influential papers, ranks authors using a weighted scoring mechanism that considers author positions and co-authorship patterns, and presents the results through an interactive web interface. Users can view authors in a sortable list or an interactive graph that visualizes collaborations. Experiments show that the system effectively identifies leading experts and their networks, helping students and researchers discover key contributors in targeted research areas.