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AUTHOR(S):

Nikos E. Mastorakis, Klimis Ntalianis, Aida Bulucea

 

TITLE

A Blockchain-Based Framework for Indexing Academic Publications and Identifying Predatory Journals

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ABSTRACT

In this paper, we propose a new blockchain-based system for indexing academic publications. We pose the central question: Can blockchain technology distinguish genuine journals from predatory ones? Blockchain offers several key advantages for indexing academic work and differentiating between legitimate and predatory journals by leveraging its core features: transparency, immutability, decentralization, and traceability. Blockchain can be used to create a decentralized, tamper-proof index of scholarly publications. Each publication can be recorded as a block or transaction, time-stamped, and permanently stored. Metadata such as the title, authors, DOI, peer review history, versioning, and editorial decisions can be securely logged. This approach prevents backdating, duplication, or deletion of entries. Importantly, no single company or authority controls the index. A distributed ledger enables open access and trustless verification. Institutions, universities, and individuals can independently verify and access publication histories. Additionally, citations can be recorded as smart contracts or transactions, providing real-time, transparent citation metrics and reducing the potential for manipulation of citation counts or impact factors. In conclusion, blockchain technology holds significant promise for identifying and distinguishing predatory journals from genuine ones.

KEYWORDS

Blockchain Technology, Indexing, Genuine Journals, Predatory Journals

 

Cite this paper

Nikos E. Mastorakis, Klimis Ntalianis, Aida Bulucea. (2025) A Blockchain-Based Framework for Indexing Academic Publications and Identifying Predatory Journals. International Journal of Education and Learning Systems, 10, 6-14

 

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