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Brain-Computer Interface (BCI) literature - a bibliometric study

机译:脑机接口(BCI)文献-文献计量研究

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Brain-Computer Interface (BCI) is a relatively young research field which has seen a growing interest with associated number of publications over the last two decades. In this study we present the first bibliometric analysis of the BCI literature (1990–2008) from the Thomson Reuters's Institute for Scientific Information (ISI) Web of Knowledge. Thus, the main objectives of this bibliometric study are: 1) to explore the growth of BCI literature, 2) to assess if it follows Lotka's law of scientific productivity, 3) to identify authors, groups and countries contributing the most to BCI, 4) to reveal the characteristic of citation for the BCI literature, and finally, 5) to determine the core journals that published substantial portions of the literature on BCI. Results indicate that BCI literature follows a power law growth, has an average author count of 3.9 and an average page count of 7.09. More than half (52.73%) of the BCI literature is never cited, and 14 papers have been cited more than 100 times. The 3 most productive authors are leading BCI research groups, in Austria, Germany and the USA.
机译:脑机接口(BCI)是一个相对较年轻的研究领域,在过去的二十年中,人们对相关出版物的兴趣日益浓厚。在这项研究中,我们提供了汤姆森路透社科学信息研究所(ISI)知识网对BCI文献(1990-2008年)的第一个文献计量分析。因此,该文献计量研究的主要目标是:1)探索BCI文献的增长,2)评估其是否遵循Lotka的科学生产力定律,3)确定对BCI贡献最大的作者,团体和国家,4 )以揭示BCI文献的引文特征,最后,5)确定发表了有关BCI文献的大部分内容的核心期刊。结果表明,BCI文献遵循幂律增长,平均作者数为3.9,平均页数为7.09。从未引用过超过一半(52.73%)的BCI文献,并且有14篇论文被引用了100多次。 3个生产力最高的作者是BCI领先的研究小组,分别位于奥地利,德国和美国。

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