Scinapse actively utilizes AI technology to perform comprehensive analyses of academic data.
Through these analyses, Scinapse enables rapid insight acquisition from academic data. This service is globally unique and distinguishes itself from competitors who analyze mere paper texts.
🤖 AI-based Field Analysis
Artificial intelligence is employed to accurately and consistently assess each paper’s research agenda, resulting in highly relevant search results.
This efficient process allows for the quick identification of related papers, with each paper averaging over 15 specific fields.
🎯 High Accuracy Author Disambiguation
Scinapse employs a proprietary algorithm to accurately identify authors, taking into account factors such as the research’s affiliations, the timing of paper publications, and citation relationships.
This system offers superior accuracy compared to other platforms such as Scopus or Web of Science. Furthermore, the algorithm is designed to continuously learn and refine its precision over time.
****👨🔬 Detailed Researcher Profiles
Scinapse goes beyond merely presenting an h-index to gauge an author’s influence. Instead, it refines the measure of influence based on criteria such as primary authorship, article type, and publication year. This approach provides a clearer understanding of a researcher’s impact and allows for tracking changes in influence over time.
🌟 Identification of Research Trends
Scinapse offers more than just citation metrics. By analyzing real-time citation relationships within specific fields of interest, our platform enables users to effortlessly identify influential papers and researchers, as well as track evolving trends over time.