Cite BibexPy
Peer-reviewed · SoftwareX 30 (2025)
Kara, B. C., Şahin, A., & Dirsehan, T. (2025). BibexPy: Harmonizing the bibliometric symphony of Scopus and Web of Science. SoftwareX, 30, 102098. https://doi.org/10.1016/j.softx.2025.102098
Harmonizing the bibliometric symphony of Scopus and Web of Science
A self-hosted, reproducible data-preparation platform. Merge, filter, harmonize, enrich and export your records — licensed exports never leave your machine.
$ pip install bibexpy
$ python -m bibexpyPython 3.10+ · Windows / macOS / Linux · No Node.js required · GPL-3.0-or-later
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Why BibexPy
From raw exports to analysis-ready data
Every step is deterministic by default, fully logged and reversible — built for reproducible bibliometric research.
One-Click Smart Merge
Multi-stage probabilistic record linkage: exact DOI matching + Jaro–Winkler title similarity, confidence scores and a borderline-review queue.
ORCID-First Disambiguation
Author identities resolved with ORCID as deterministic evidence; constrained field-similarity fallback only when coverage is incomplete.
Address Harmonization
Organization roll-up to a canonical parent institution plus country standardization — cleaner collaboration networks.
Multi-Source Enrichment
Fetch-once-fill-all across CrossRef, OpenAlex, Scopus, DataCite, Unpaywall, Europe PMC and Semantic Scholar. Verifiable values only.
Reproducible Filtering
Multi-facet inclusion/exclusion criteria with a live match count, saved as reusable presets — your corpus is reconstructable.
Weighted Quality Score
A health score that weighs the fields your analysis depends on — abstract, keywords, DOI, affiliations and cited references — not raw completeness.
Full Provenance
Append-only audit log, pre-operation snapshots, isolated analyses and an auto-generated methodology narrative.
Structured Export
WoS plain text, VOSviewer TSV, BibTeX, RIS, CSV, TSV, XLSX — interoperable with VOSviewer, Biblioshiny, CiteSpace and more.
Guided Workflow
Five steps, one pipeline
Data & Merge → Records & Filtering → Harmonization → Export → Report. Each step is gated until the previous one is complete.
localhost:6060 — Data & Merge
Swipe left or right to explore the steps
Install in 60 seconds
Two commands. No Node.js, no compiler.
BibexPy ships as a single pure-Python wheel with the web interface precompiled inside. Python 3.10+ is the only requirement — it runs the same on Windows, macOS and Linux.
- Local web app opens in your browser automatically
- Your data stays in ~/.bibexpy/storage — fully offline-capable
pip install bibexpy
python -m bibexpyIf bibexpy isn't recognized, that's a PATH issue — on first launch the app offers to add itself to PATH (answer Y), or see Troubleshooting.
Just need a quick merge? Try BibexPy-Lite in Colab
A lightweight companion that runs the same Smart Merge (Web of Science + Scopus deduplication) in Google Colab or a terminal — no installation.
Try it before uploading your own data
The first launch creates a ready-to-explore Simple Project with real Web of Science + Scopus sample exports — run the whole pipeline end-to-end.
Changelog
What's new
Release notes straight from GitHub — BibexPy is actively maintained, and every version is documented.
Community
What researchers say
Real feedback from teams using BibexPy to prepare reproducible bibliometric datasets.
Authors
The team behind BibexPy
Built and maintained by three researchers — peer-reviewed and published in SoftwareX.
Burak Can Kara, Ph.D.
Department of Construction, Merzifon Vocational School, Amasya University
ORCID 0000-0002-6933-0759
Alperen Şahin, Ph.D.
Electronic Commerce and Management Department, Istanbul Esenyurt University
ORCID 0000-0001-9563-6543
Taşkın Dirsehan, Ph.D.
Department of Business Administration, Marmara University
ORCID 0000-0002-3599-0951Published in SoftwareX 30 (2025), 102098 — citation formats (APA · BibTeX · RIS) are one click away at the top of this page.