PaperBanana is an open-source, community-driven implementation that automates the generation of academic illustrations, diagrams, and plots from text descriptions. It uses a sophisticated multi-agent AI pipeline supporting multiple LLM and VLM providers, significantly reducing the time researchers spend creating visual aids.
This content analyzes the current landscape of citation and bibliometric analyses, comparing the features and impacts of prominent databases such as Web of Science, Scopus, and Google Scholar. It explores how these platforms define a new era in evaluating research output and scholarly impact.
The article criticizes Scribbr's limitations for plagiarism checking, citing high cost and a restricted database. It suggests ScholarNet AI as a superior alternative, highlighting its advanced AI algorithms and broader database.