作者: Sean Eom
DOI: 10.1016/J.JOI.2007.09.001
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摘要: Abstract The majority of author cocitation analysis (ACA) have relied on the Institute for Scientific Information (ISI) citation databases. ISI convention allows only retrieval papers that cite works which is first or sole author. Non-primary authors (authors whose name appear in second later position) will not be counted when assembling a frequency matrix. Therefore, this has been methodological issue ACA study. This paper empirically examines impact results ACA. Previous research addressed and shed light some parts issues, but failed to address issues such as what extent use different approach resulted outcomes terms actual intellectual structure given academic discipline. Using our data cociation matrix generation systems, we compare differences process using matrices. Our study concludes all based better than capture influential researchers field. It also identifies more subspecialties. Finally, Author produce little stress values MDS outputs.