An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

Python-based API-Wrapper to access Scopus

Source code and data analyses for the Sci-Hub Coverage Study

Findpapers: A tool for helping researchers who are looking for related works

Scopus Database API Interface to R

ReCiter: an enterprise open source author disambiguation system for academic institutions

Query the Scopus Search API in R and parse the results into a data frame

User-friendly Scopus and Journal Metrics data

PyScopus

This repository contains machine readable (xml) search queries (crafted from a controlled vocabulary), for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs). We invite enyone to improve the SDG queries further in a co-creation process.

Find collaboration strength between NSF awards, awardees, and more.

Scopus/Crossref Plugin for OJS 3.x : This plugin shows the total number of citations and a "cited by" article list from Scopus and/or Crossref.

This repository includes Python programs designed to automate the process of assessing library electronic journal collections.

A collection of Research Intelligence methods and workflows

📑 SeSG (Search String Generator): A approach that uses text mining to build search strings for secondary studies.

Academic Paper/Document classifier based on SCOPUS categories

The Academic Review Tool (ART) is a package for performing academic reviews and bibliometric analyses in Python. It offers capabilities for discovering, retrieving, and analysing academic literature at scale.

ReCiter Publication Manager - a user interface for providing feedback on articles

Edu-Stats is a parser to extract the scholar details of academicians such as h-index, citations, etc.

This script reads the exported (.csv|.txt) files from Scopus, Web of Science, PubMed, PubMed Central, Dimensions or Google Scholar exported from Publish or Perish databases and turns each of them into a new file with an unique format. This script will ignore duplicated records.