Integrating Citation Heterogeneity to Measure the Quality of Academic Journals

Evaluating the quality of academic journals is important and complex. The journal impact factor (IF), which is the most widely used indicator to measure the quality of academic journals, assumes that all citations are homogeneous. The use of this indicator has been widely criticized due to its inherent limitations. In recent years, several sophisticated indicators have been proposed to allow the weighting of citations from different journals. However, the recursive computation process of these indicators requires a huge amount of data. This paper proposes a new indicator with citation heterogeneity to measure journal quality, which is named the Citation Author Affiliation Index (CAAI). The CAAI is based on the assumption that citing paper authors’ institutions can be ranked and are considered a proxy to measure the quality of citations (in a statistical sense). It is shown that the CAAI is easy to use and interpret, time-efficient, and adaptable. The effectiveness of the CAAI is validated by using Web of Science citation data from journals in several research categories.

Authors

Institutions

Publication Details

Journal
International Journal of Information Technology & Decision Making
Published
2025-09-12
DOI
https://doi.org/10.1142/s0219622026500021
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating Citation Heterogeneity to Measure the Quality of Academic Journals

Francisco Chiclana, Ke Li, Yucheng Dong, Zhaoxia Guo
International Journal of Information Technology & Decision Making
scientometrics and bibliometrics research
article

Integrating Citation Heterogeneity to Measure the Quality of Academic Journals

Francisco Chiclana, Ke Li, Yucheng Dong, Zhaoxia Guo
article en

Abstract

Evaluating the quality of academic journals is important and complex. The journal impact factor (IF), which is the most widely used indicator to measure the quality of academic journals, assumes that all citations are homogeneous. The use of this indicator has been widely criticized due to its inherent limitations. In recent years, several sophisticated indicators have been proposed to allow the weighting of citations from different journals. However, the recursive computation process of these indicators requires a huge amount of data. This paper proposes a new indicator with citation heterogeneity to measure journal quality, which is named the Citation Author Affiliation Index (CAAI). The CAAI is based on the assumption that citing paper authors’ institutions can be ranked and are considered a proxy to measure the quality of citations (in a statistical sense). It is shown that the CAAI is easy to use and interpret, time-efficient, and adaptable. The effectiveness of the CAAI is validated by using Web of Science citation data from journals in several research categories.

International Journal of Information Technology & Decision MakingVol. 25(01)
Peking University (CN), Sichuan University (CN), De Montfort University (GB)
Openalex Percentile: Top 75%
scientometrics and bibliometrics research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integrating Citation Heterogeneity to Measure the Quality of Academic Journals — Francisco Chiclana, Ke Li, et al. · International Journal of Information Technology & Decision Making (2025) | TGRS Research Map | TGRS