How recommendations work
- Each journal has a profile. When the list is built, the titles of each journal's most-cited articles since 2021 (up to 100) and its research topics are taken from OpenAlex. These become a profile of the words and two-word phrases it actually publishes on, such as "second language" or "chatgpt".
- Your text becomes keywords. Common words are dropped, word endings are trimmed so "writing" and "writes" count as one word, and adjacent pairs are kept as phrases.
- Journals are scored. Most of the score is how well your keywords match the journal's profile. Rare, specific words count for much more than common ones like "learning". A smaller part comes from words in the journal's title and subject categories. Journals that match more of your distinctive words rank higher than those matching just one, and higher-SJR journals get a very small boost.
- Results are shown as a match percentage against the best match, with the words that matched. Weak matches under 12% are hidden. Your filters, such as quartile or open access, still apply.
Private by design. All of this runs in your browser. Your title and abstract are never sent to ELT Pub or anyone else, and are not saved.
Limits. This matches wording, not meaning, so different wording for the same idea may be missed. It also only knows what a journal has published, not what its editors want next. Treat the results as a shortlist, then read each journal's aims and scope.
Data: SCImago Journal & Country Rank, 2025 release, with article profiles from OpenAlex (CC0), covering the Psychology subject area and the Education and Linguistics and Language subject categories. SJR, quartile, and H-index come from Scopus data processed by SCImago. A quartile ranks a journal within a field. It is not a quality score, so read the guide to what SJR measures before relying on it. Check a journal's own website before submitting, and use Journal Intelligence for integrity signals.