Host: The Japanese Society for Artificial Intelligence
Name : The 35th Annual Conference of the Japanese Society for Artificial Intelligence
Number : 35
Location : [in Japanese]
Date : June 08, 2021 - June 11, 2021
With the recent exponential increase of academic papers, the importance of indices for extracting academic paperwith high information value has been rising. For example, the total citation is used as a general index, and anindex that measures the innovativeness of academic paper from citation networks has been proposed. On the otherhand, academic paper with a high degree of cross-disciplinarity is attracting more attention due to its contributionto complex social issues. In this study, we propose an index for evaluating the innovativeness of academic paperthat takes into account the cross-disciplinary nature of citations by constructing a citation network from academicpaper data in Scopus and quantifying the distance between disciplines. From this index, we extracted the papersthat had an impact across disciplines, and also clarified that the number of people in a research organization canaffect the cross-disciplinary nature of the research.