An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
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Updated
Aug 31, 2026 - R
An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
Python-based API-Wrapper to access Scopus
Wikidata-based scholarly profiles
LitStudy: Using the power of Python to automate scientific literature analysis from the comfort of a Jupyter notebook
A Bibliometric and Scientometric Python Library Powered with Artificial Intelligence Tools
A Python library for doing bibliometric and network analysis in science and health policy research
Perform forward and backward citation chasing as part of an evidence synthesis project
Getting bibliographic records from OpenAlex
Open-source research intelligence for CS papers — track what matters, who drives it, what to read first, and where the research gaps are.
Python module for bibliographic network analysis.
Webscraping data about editors of scientific journals.
This repository contains the official implementation for the series of NAIP family.
Query and visualize metrics from altmetric.com
Scientific literature explorer. Runs a Pubmed or Semantic Scholar search and allows user to explore high-level structure of result papers
Gathering metadata about publications, patents, grants, clinical trials and policy documents from DS Dimensions using DSL API
MCP server for the OpenAlex API — search 240M+ scholarly works, analyze citations, track research trends, and map collaboration networks
PDF-derived institutional affiliations for 5,356 ICLR 2026 accepted papers — full pipeline (scrape → parse → render), clean dataset (CSV + XLSX), and treemap charts.
Write and improve journal cover letters with separate Research, Review, and Bibliometrics workflows.|投稿信撰写与迭代教程
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