Bibliometrics is useful to analyze the research impact for measuring the
research quality. Different bibliographic databases like Scopus, Web of
Science, Google Scholar etc. are accessed for evaluating the trend of
publications and citations from time to time. Some of these databases are free
and some are subscription based. Its always debatable that which bibliographic
database is better and in what terms. To provide an optimal solution to
availability of multiple bibliographic databases, we have implemented a single
authentic database named as conflate'' which can be used for fetching publication and citation trend of an author. To further strengthen the generated database and to provide the transparent system to the stakeholders, a consensus mechanism proof of reference (PoR)‘’ is proposed. Due to three
consent based checks implemented in PoR, we feel that it could be considered as
a authentic and honest citation data source for the calculation of unified
informetrics for an author.

生成讲解博客的中文版本

生成AI智能校验的中文版本