Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!
A simple pip-installable Python tool to generate your own HTML citation world map from your Google Scholar ID.
Measuring the Evolution of a Scientific Field through Citation Frames
Download "Cited by" data from the NIH for any paper with a PubMed ID
MultiCite code and data. Models are available on Huggingface.
Scimeetr is an R package, and a shiny app that helps researchers introduce themselves into their scholarly literature. It contains a suit of function that let someone: load bibliometric data into R, make a map of peer reviewed papers by creating various networks, find research community, characterize the research communities, and generate readin…
BibexPy is a Python-based software designed to streamline bibliometric data integration, deduplication, metadata enrichment, and format conversion. It simplifies the preparation of high-quality datasets for advanced analyses by automating traditionally manual and error-prone tasks.
MCP server for arXiv.org - Search, analyze, and export academic papers with AI assistants. Features advanced paper discovery, citation analysis, trend tracking, and multi-format exports.
Repository of our paper on Self-citation analysis in PubMed data
The first micro-longitudinal bibliometric tracking of Covid-19 research's daily citation pattern
ImpactCite: A XLNet-based Solution Enabling Qualitative CitationImpact Analysis Utilizing Sentiment and Intent
Scrape and analyze your Google Scholar profile
Analysis of Microsoft Academic Graph
Multitask Neural Citation Function and Provenance
A deep learning classifier for classifying ideational impact of research papers.
DoConA (Document Content and Citation Analysis Pipeline) is an open source, configurable and extensible Python tool to analyse the level of agreement between the citation network of a set of textual documents and the textual similarity of these documents.
Citation Provenance
ScholarLens analyzes research papers using RAG with AI models from OpenAI, Anthropic, and Google. It identifies research gaps, assesses novelty, extracts key concepts, visualizes citations, and enables natural language queries of academic content. Features include PDF processing, arXiv/Semantic Scholar integration, batch processing, and intelligent
A jurisdiction-aware Retrieval-Augmented Generation system for legal research built with Hy and org-mode literate programming
Are Conference Posters Being Cited? - A brief research report article
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