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Studying the characteristics of scientific communities using individual-level bibliometrics: the case of Big Data research

Published Online: 2021-06-05

Published Print: 2021-08

Authors

Lyu, Xiaozan https://orcid.org/0000-0001-5632-0941
Costas, Rodrigo
Funding

Funding for this research was provided by:

China Scholarship Council

the National Science Foundation of China (71843012)

the DST-NRF Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy (SciSTIP)
License Information

Text and Data Mining valid from 2021-06-05

Version of Record valid from 2021-06-05
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Article History

Received: 27 November 2020

Accepted: 5 May 2021

First Online: 5 June 2021

Document is current