scientometrics

Compute bibliometric indicators and science-network structure from OpenAlex publication data.

33|6|Updated Mar 17, 2026

Search Tags:#network analysis #openalex #bibliometrics #scientometrics #co-citation #bibliographic coupling #vosviewer

Ready to run

npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill scientometrics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scientometrics
Source: https://github.com/xjtulyc/awesome-rosetta-skills/tree/main/skills/00-universal/scientometrics
Command: npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill scientometrics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, networkx, matplotlib, numpy, scipy, and includes assets (resource) components.

What problem does it solve?

Scientometrics automates bibliometric analysis to quantify scientific impact and structure, so you can measure researchers and fields without manually wrangling publication datasets.

Core Features & Use Cases

Author-level metrics: compute h-index, total citations, i10-index, top venues, and active years using OpenAlex.
Network analysis: build co-authorship graphs and visualize the strongest clusters via NetworkX.
Structure mapping: compute co-citation and bibliographic coupling to identify research relationships and emerging fronts.
Visualization-ready exports: export VOSviewer-compatible node/edge files for interactive exploration.

Quick Start

Use the scientometrics skill to compute an author’s OpenAlex-based h-index and citation totals for a given ORCID and return a metrics summary.

Frequently Asked Questions about scientometrics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I compute author-level bibliometric metrics like the h-index using OpenAlex data?▼

To compute author-level bibliometric metrics like the h-index, the skill processes OpenAlex publication data to calculate h-index, total citations, i10-index, top venues, and active years for a specified ORCID. It returns a summary of these computed metrics for author evaluation.

Can I build co-authorship networks and export them for VOSviewer?▼

Yes, you can build co-authorship networks and export them for VOSviewer. The skill uses NetworkX to build network graphs and generates VOSviewer-compatible node and edge files, enabling interactive visualization of the strongest clusters.

How does bibliographic coupling and co-citation analysis map research structure?▼

Bibliographic coupling and co-citation analysis map research structure by quantifying citation relationships between publications. The skill computes these bibliometric relationships from OpenAlex data to identify research connections and emerging fronts across specified year ranges.

Do I need Python libraries like pandas and networkx to run scientometric analysis?▼

Yes, you need Python libraries like pandas and networkx to run scientometric analysis. The skill requires HTTP access to the OpenAlex API and utilizes pandas, networkx, numpy, and scipy to process publication data and compute science-network structures.

What is the best way to visualize topic landscapes and research clusters from publication data?▼

The best way to visualize topic landscapes and research clusters from publication data is by computing co-citation and bibliographic coupling metrics. This skill calculates these structures and exports VOSviewer-compatible files for interactive exploration of research relationships.

Can I use OpenAlex API data to evaluate researchers without manually wrangling publication datasets?▼

Yes, you can use OpenAlex API data to evaluate researchers without manually wrangling publication datasets. The skill automates bibliometric analysis to quantify scientific impact, directly fetching and processing publication data to measure researchers and fields.