Big data analysis of nanoscience bibliometrics, patent, and funding data (2000-2019)

Big data analysis of nanoscience bibliometrics, patent, and funding data (2000-2019)

Author
Hongjun Xiao
Publication Year
2021
Publisher
Cambridge University Press
Language
English
Document Type
Book
Faculty / Subject Heading
Computer Science

Presents an evaluation of nanotechnologies outputs (academic outputs and patents) and their impact from 2000-2019. The evaluation uses Elsevier’s Scopus (the largest abstract and citation database of peer-reviewed literature), SciVal (a scientific research analysis platform), Funding Institutional (a funding database), and PatentSight (a patent analysis platform). It covers four key topics regarding nanoscience research, including: 1) An overview of nano-related scholarly output, 2) Nanoscience and its contribution to basic science, 3) Nanoscience and its impact on and collaboration with industry partners, and 4) Key factors that promote the development of nanoscience.


Keywords: Computer science / Nanoscience -- Research / Nanoscience -- Data processing / Big data / Nanotechnologies /