An Academic Influence Indicator System for Journal Clusters Based on AHP and CRITIC

The importance of journal clusters in the academic field is becoming increasingly evident. However, although the evaluation methods of individual journals have been widely developed, there is currently a significant gap in the comprehensive methods for evaluating of academic influence of journal clusters. This research aims to quantitatively analyze academic influence of journal clusters by constructing an indicator system specifically targeting the impact of journal clusters and combining Analytic Hierarchy Process (AHP) and Criteria Importance Through Intercriteria Correlation (CRITIC) for evaluation, providing data support for subsequent research and decision-making.

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Published
2024-09-20
DOI
https://doi.org/10.1145/3705618.3705671
Primary Topic
Computational and Text Analysis Methods
Type
article
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article

An Academic Influence Indicator System for Journal Clusters Based on AHP and CRITIC

Wei Wang, Sicheng Li, Yan‐Bo Wang, Hangyu Zhou
Computational and Text Analysis Methods
article

An Academic Influence Indicator System for Journal Clusters Based on AHP and CRITIC

Wei Wang, Sicheng Li, Yan‐Bo Wang, Hangyu Zhou
article en

Abstract

The importance of journal clusters in the academic field is becoming increasingly evident. However, although the evaluation methods of individual journals have been widely developed, there is currently a significant gap in the comprehensive methods for evaluating of academic influence of journal clusters. This research aims to quantitatively analyze academic influence of journal clusters by constructing an indicator system specifically targeting the impact of journal clusters and combining Analytic Hierarchy Process (AHP) and Criteria Importance Through Intercriteria Correlation (CRITIC) for evaluation, providing data support for subsequent research and decision-making.

North China Electric Power University (CN)
Openalex Percentile: Top 56%
Computational and Text Analysis Methods
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