Orange3-Biblium

Bibliometric & scientometric analysis widgets for Orange Data Mining, powered by the Biblium engine.

Orange3-Biblium turns Orange’s visual canvas into a complete bibliometric workbench: load and enrich data, compute counts and indicators, analyse citations and networks, classify by methodology / SDG, model topics, and publish interactive reports — all without writing code.

Contents

• Installation
  • Requirements
  • From the Orange desktop app
  • With pip
  • From source (development)
• Getting started
  • 1. Load data
  • 2. Prepare
  • 3. Describe & analyse
  • 4. Report
• Widget reference
  • Data input & preparation
  • Overview, counts & statistics
  • Time, trends & dynamics
  • Citation analysis
  • Text, topics & concepts
  • Networks
  • Geography, SDG & disciplines
  • Groups, comparison & inference
  • Niche, external & output

At a glance

• 81 widgets organised by analysis stage.

• Imports from Scopus, Web of Science, OpenAlex, PubMed, Dimensions, Lens, SICRIS/COBISS and 30+ formats.

• OpenAlex API querying and DOI enrichment.

• Co-occurrence, citation, coupling, collaboration and field networks.

• Reports and a one-click interactive HTML dashboard.