Journal Suggestor reviews a manuscript title and abstract to identify journals that publish related research. It uses public scholarly metadata from OpenAlex and provides matching evidence, journal profiles, shortlists, and comparisons.
Use the website: journalsuggestor.netlify.app
- Suggest journals from a manuscript title and abstract.
- Show the research articles behind each match.
- Review public journal records, fees, topics, and publishing activity.
- Shortlist journals, compare them, and save records as PDF or CSV.
- Apply the journal-quality guideline from the companion working paper.
Use GitHub Issues to report an error, raise a concern, or request a feature.
Pull requests are welcome and should include relevant tests and an entry in CHANGELOG.md.
If Journal Suggestor is useful in your work, please cite the companion working paper:
APA
Ranjan, P., Agarwal, R., & Harshvardhan, M. (2026). How to identify an appropriate journal for your manuscript: A predictive modeling approach [Working paper].
BibTeX
@unpublished{ranjan2026journal,
author = {Ranjan, Pritam and Agarwal, Reshu and Harshvardhan, M.},
title = {How to identify an appropriate journal for your manuscript: A predictive modeling approach},
year = {2026},
note = {Working paper}
}Journal Suggestor is released under the MIT License.
Version 1.0.1