Software source WeChat public account [Academic Bits]
How to evaluate the academic influence of a scholar, an institution, and a journal?
When writing software for bibliometrics and knowledge graphs, we often measure it by the number of publications by authors and institutions, that is, counting which high-frequency authors and high-frequency institutions are.
Obviously, it is biased to define academic influence by the number of publications. But why do most correlational theories
Is this indicator actually used in the article?
The main reason is that frequency statistics are the simplest and can be obtained directly using software such as CiteSpace, Bibexcel, COOC, etc., while obtaining other indicators is relatively more complicated.
For example, in addition to the number of publications, we can also use the number of citations to reflect academic influence. That is, the higher the number of citations of an author, the greater the influence.
However, since the more articles you publish, the greater the chance of being cited, we may think of using the average number of citations per article to reflect academic influence.
None of these traditional indicators seem to be able to meet the needs of complex academic evaluation.
Therefore, some scholars have proposed composite indicators, which consider the relationship between the number of publications and the frequency of citations at the same time. The more famous ones are h index, g index, p index and z index.
Faced with so many evaluation indicators, how to calculate and reasonably select indicators is a major problem that troubles relevant personnel.
Based on this, the [Academic Bits] team developed Academic Influence Evaluation software, Chinese name: Academic Influence Evaluation Software.
The software can not only calculate the above indicators with one click, but also perform correlation analysis and visual display of the relationship between indicators to help users select the most appropriate indicators.
