Paper–journal matching
Turn your paper and your requirements into a journal shortlist
Give an abstract, keywords or a PDF, then say what you need on CAS zone, fees, review time or annual volume. The finder looks for journals with a similar scope in two ways, by meaning and by publication topics, checks your stated requirements against structured facts, and has a model check each journal's Aims & Scope against your paper.
Before you submit
- Titles, abstracts and PDFs are not stored. The title, abstract and keywords go to the model through AI Gateway, with logging off, to check scope; when a PDF has no "Abstract" heading, the text of its first page is sent so the model can find the title and abstract. The full text is never sent
- Provide an abstract or a PDF, at least one
- Missing information is flagged and never counted as meeting a requirement
- Suggestions narrow the search; they do not guarantee acceptance
Results
Candidate journals
How the shortlist is built
- The title, abstract, keywords and the start of the introduction are extracted; the paper itself is not stored.
- Two recall paths: three semantic vectors per journal (profile, Aims & Scope and publication topics), plus the overlap between your paper's OpenAlex topics and the topics each journal actually publishes.
- Your explicit requirements on zone, impact metrics, open access, fees, review time and annual volume are checked against the data; journals low on both text similarity and topic overlap are dropped.
- A model checks each journal's Aims & Scope and recent articles, rules "in scope", "uncertain" or "out of scope", drops the out-of-scope ones and writes the reasons, risks and what to verify before submitting.