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논문 기본 정보

자료유형
학술저널
저자정보
Woojin Lee (Seoul National University) Junghoon Hah (Seoul National University) Namhyoung Kim (Gachon University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.17 No.1
발행연도
2018.3
수록면
113 - 119 (7page)
DOI
10.7232/iems.2018.17.1.113

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초록· 키워드

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Assessing research quality is a crucial task for research institutions. Impact Factor has been widely used as a journal evaluation metric. It also has been used as an evaluation metric for researcher’s research ability. However, assessing research quality using Impact Factor can raises various problems, especially when evaluating researchers from different research fields at the same time. For instance, lower Impact Factors are given to traditional engineering and social sciences than those given to general sciences and biology. To solve these problems, adjusted Impact Factor has been proposed. They have the effect of normalizing Impact Factors in different subject categories. However, these revised Impact Factors cause errors in relative rankings among journals. By using linearly combined 11 revised Impact Factor, we find the optimal combination to reduce the error rate and give a solution to weak point of current Impact Factor.

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ABSTRACT
1. INTRODUCTION
2. REVIEW OF WELL-KNOWN METRIC
3. PROPOSED METHOD
4. EXPERIMENTAL RESULTS
5. CONCLUSIONS
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