The MDPI journals in the scientific communication circuit: exploring their citation patterns

Abstract The rapid growth of MDPI has sparked intense debate about its role in scientific publishing landscape. This study presents a data-driven analysis of citation patterns across 237 MDPI journals indexed in the 2023 Web of Science Journal Citation Reports (JCR), totaling over 1.6 million citations. Using bibliometric and network analysis techniques, we examine self-citation rates and the flow of citations by quartile, discipline, and publisher. Our findings reveal that while many MDPI journals—particularly in the Natural and Medical Sciences—are well-integrated into global citation networks and receive substantial recognition from high-impact external sources, others rely heavily on self-citations and exhibit limited disciplinary reach. On average, 33% of citations were intra-publisher citations—including 10% self-citations—highlighting the internal citation density within MDPI’s journal network. This paper contributes to the ongoing discussion about editorial ethics, legitimacy, and research evaluation by offering citation-based evidence of MDPI and its journals.

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Publication Details

Journal
Scientometrics
Published
2026-05-16
DOI
https://doi.org/10.1007/s11192-026-05640-y
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
0.00
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article

The MDPI journals in the scientific communication circuit: exploring their citation patterns

Alexandra Pomares Quimbaya, Orlando Gregorio-Chaviano, Natalia Márquez-Bustos, María-Consuelo Zamora
Scientometrics
scientometrics and bibliometrics research
article

The MDPI journals in the scientific communication circuit: exploring their citation patterns

Alexandra Pomares Quimbaya, Orlando Gregorio-Chaviano, Natalia Márquez-Bustos, María-Consuelo Zamora
article en

Abstract

Abstract The rapid growth of MDPI has sparked intense debate about its role in scientific publishing landscape. This study presents a data-driven analysis of citation patterns across 237 MDPI journals indexed in the 2023 Web of Science Journal Citation Reports (JCR), totaling over 1.6 million citations. Using bibliometric and network analysis techniques, we examine self-citation rates and the flow of citations by quartile, discipline, and publisher. Our findings reveal that while many MDPI journals—particularly in the Natural and Medical Sciences—are well-integrated into global citation networks and receive substantial recognition from high-impact external sources, others rely heavily on self-citations and exhibit limited disciplinary reach. On average, 33% of citations were intra-publisher citations—including 10% self-citations—highlighting the internal citation density within MDPI’s journal network. This paper contributes to the ongoing discussion about editorial ethics, legitimacy, and research evaluation by offering citation-based evidence of MDPI and its journals.

Scientometrics
Pontificia Universidad Javeriana (CO)
Openalex Percentile: Top 4%
scientometrics and bibliometrics research
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