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

MultiCite code and data. Models are available on Huggingface.

Turbocharge a PubMed literature rather than clicking and clicking and clicking on Google Scholar

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…

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

Analysis of Microsoft Academic Graph

Multitask Neural Citation Function and Provenance

A deep learning classifier for classifying ideational impact of research papers.

Scrape and analyze your Google Scholar profile

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

Program for performing systematic literature studies through snowballing and for visualization of citation relations between academic papers.

Hybrid Recommender System for Computer Science Papers | Master's Thesis Project 2023

Model with Dimensionality Reduction with performing SMOTE and Tuning will get comparable results comparing with off-the-shelf models in Sentiment Analysis of Citations (Athar 2011).

Replication data for Arnold / Engst / Gschwend. 2023. "Scaling Court Decisions with Citation Networks." Journal of Law and Courts (First View): 1 - 20.

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