A collection of Jupyter notebooks, each walking you through a common example of bibliometric analysis using scholarly data from the OpenAlex API.
-
Updated
Apr 25, 2024 - Jupyter Notebook
A collection of Jupyter notebooks, each walking you through a common example of bibliometric analysis using scholarly data from the OpenAlex API.
Research data analytics tutorials using the Dimensions Analytics API
Neuralized version of the Reference String Parser component of the ParsCit package.
A Python library for OpenAlex (openalex.org)
A Zotero plugin that adds citation counts from Microsoft Academic to your references.
Citation Manager for OJS
Rich Context API integrations for federating metadata discovery and exchange across multiple scholarly infrastructure providers
Source code for Dimensions BigQuery LAB
A simple python script for parsing DBLP dataset
code for generating a high-quality knowledge graph with metadata about datasets and links to publications
Rich Context server: web app, API, UI
A Scholarly Knowledge Graph Benchmark Dataset
Sample codes in Python using SPARQL endpoint of scholarlydata.org
CLI to retrieve SQL schema information about the Dimensions on Google BigQuery dataset.
Parse identifiers (e.g., DOIs)
Code for generating Linked Papers with Code a high-quality RDF knowledge graph with metadata about the machine learning landscape.
Add a description, image, and links to the scholarly-metadata topic page so that developers can more easily learn about it.
To associate your repository with the scholarly-metadata topic, visit your repo's landing page and select "manage topics."