One-Click Smart Merge
Multi-stage probabilistic record linkage: exact DOI matching + Jaro–Winkler title similarity, confidence scores and a borderline-review queue.
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 bibexpyPython 3.10+ · Windows / macOS / Linux · No Node.js required · GPL-3.0
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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.
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 bibliometrically weighted health score that emphasizes the fields your downstream analysis actually needs.
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
Upload raw Scopus (.csv) and Web of Science (.txt) exports — one click runs Smart Merge.
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
- First launch creates a ready-to-explore sample project
Windows · Terminal
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.
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.
Authors
Burak Can Kara, Ph.D.
Department of Construction, Merzifon Vocational School, Amasya University
ORCID 0000-0002-6933-0759Alperen Şahin, Ph.D.
Electronic Commerce and Management Department, Istanbul Esenyurt University
ORCID 0000-0001-9563-6543Taşkın Dirsehan, Ph.D.
Department of Business Administration, Marmara University
ORCID 0000-0002-3599-0951Cite BibexPy
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
Published in SoftwareX 30 (2025), 102098 — the v2 “Helium” platform builds on the peer-reviewed v1 methodology.