SCI/SCIE/ESCI/SSCI journal discovery, metrics lookup, and pre-submission compliance review for AI agents
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Updated
Aug 1, 2026 - Python
SCI/SCIE/ESCI/SSCI journal discovery, metrics lookup, and pre-submission compliance review for AI agents
Agent plugins for CN and EN journal targeting: candidate discovery, source verification, risk screening, and 2+2 journal decision matrices.
Open dataset and utilities for journal metadata and impact factor research workflows.
AI agent skill that helps researchers choose journals, check submission rules, and plan manuscript revisions from a PDF or DOCX draft.
Answers "where should I submit this paper?" from cited soft metadata — reviewer culture, framing requirements, real word limits — instead of model recall. 399 curated journal entries, a 166,821-journal ISSN spine, and blanks where nobody actually knows.
Acceptance rates, review times and desk-rejection rates for 57 journals across 23 publishers, with an evidence type (official/reported/estimated) on every figure. 0/57 desk-rejection rates are officially published. CC BY 4.0.
Deterministic single-file tool for deciding where to submit a manuscript — hard gates, scoring, a ranked ladder, plus quantitative analysis tabs. Runs offline; EN + 繁中.
Add a description, image, and links to the journal-selection topic page so that developers can more easily learn about it.
To associate your repository with the journal-selection topic, visit your repo's landing page and select "manage topics."