The academic search engine made as an #opendata alternative to Google Scholar. Get the freshest academic content through alerts, citation tracking and multi-query among 163M works, including 36M full text search. No ID needed
https://matilda.science/?l=en
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Including 34M full-text indexed publications to build queries and alerts, including citation tracking for authors and texts. Totally Free, shareable, no ID, ni tracking. #POSI #opendscience #opendata matilda.science?l=en
If you want to avoid AI Search and metadata shortcomings, you can simply full-text search on 36M works (and counting) with Matilda.
Matilda's name comes from Margaret Rossiter's work on the history of women in science. We wish to welcome any academic text, whatever its language, authors, form, output to counter Matilda's effect. If you have not read her, please do. iahr.oss-accelerate.aliyuncs.com/upload/file/...
Matilda has adopted the Principle of Scholarly Infrastructure (POSI). For full details, see here #OpenScience matilda.science/posi?l=en
As Google shift to AI LLM answers, a lot of academics fear that Google Scholar will soon follow. If you wish for a reproducible an #AIfree set of tools, don't wait and start searches through our 163M works and 13M authors at Matilda matilda.science?l=fr
Matilda has reached 160M deduplicated publications, among which 33M are full-text searchable. Everything is free, sharable and reusable and will remain as such under our #POSI commitments and following our mission matilda.science/mission?l=en
Everyday more and more people use Matilda's #bibliographical transparent and services: search, citation tracking, bibtex metadata, alerts, everything is open data and easily transferable to #Zotero. 162M publication, 13M authors, 2MM reference links, 34M full text search. matilda.science?l=en
Someone went to the trouble of creating 5 fake OSF accounts today, linking to 5 fake ORCID accounts, and generating 5 fake papers to submit to SocArXiv, with fake author and emails. Dude, if you are reading this, I hope you get the help you need (or a better job).
📣 Our introduction to structural causal models in science studies is now published:
doi.org/10.1162/QSS....
@tklebel.bsky.social and I tried to make our introduction as accessible as possible. We illustrate the theory by three case studies based on a simulated model of Open Science. 🧵(1/6)
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Vincent Traag
Our monthly review of the coverage of the major bibliographic databases (January 2026).
We excluded Xueshu Baidu and FatCat and duplicated the OpenAlex info and added PubMed, a relevant IA source
