Adjusted Impact Factor by using F min Search Algorithm
- Authors
- Lee, Woojin; Hah, Junghoon; Kim, Namhyoung
- Issue Date
- Mar-2018
- Publisher
- KOREAN INST INDUSTRIAL ENGINEERS
- Keywords
- Impact Factor; F Min Search; Journal Evaluation Metric
- Citation
- INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, v.17, no.1, pp.113 - 119
- Journal Title
- INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS
- Volume
- 17
- Number
- 1
- Start Page
- 113
- End Page
- 119
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4029
- DOI
- 10.7232/iems.2018.17.1.113
- ISSN
- 1598-7248
- Abstract
- 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 사회과학대학 > 응용통계학과 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.