Academic Research Search Across 5 DBs with PDF Vector & Exports
Searches PubMed, ArXiv, Google Scholar, Semantic Scholar, and ERIC simultaneously, deduplicates results, and exports formatted bibliographies via PDF Vector.
This workflow unifies academic research across five major databases—PubMed, ArXiv, Google Scholar, Semantic Scholar, and ERIC—using PDF Vector's advanced multi-database search. It automatically handles queries, fetches relevant papers, removes duplicates, and generates standardized bibliography exports in multiple formats. Ideal for efficient literature reviews without manual switching between platforms.
Designed for graduate students, researchers, librarians, and academic teams, it solves frag
- Platform
- n8n
- Category
- Business Operations & ERPs
- Price
- $24.99
- Creator
- Maxim Luong
- academic
- research
- search
- pubmed
- arxiv
- google-scholar
- semantic-scholar
- eric
- pdf-vector
- literature-review
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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