Journal Impact Factor Database (Research Utility)

This repository provides structured journal metadata for research workflows around journal selection, bibliometrics, and manuscript planning.

What is included

• data/fields_of_science.csv: normalized subject area taxonomy
• schemas/journal_metadata.schema.json: JSON schema for journal metadata
• examples/sample_journal_metadata.csv: example format for downstream tooling
• scripts/: helper scripts for validation and transformation

Important licensing note

JCR is a licensed product. This repository does not redistribute proprietary Clarivate raw exports.

If you have licensed access, you can map your internal JCR data into this public schema for your own use.

Use cases

• Journal ranking tools
• Internal publication strategy dashboards
• Bibliometric analysis pipelines
• Submission planning utilities

About Manusights

Manusights helps researchers improve manuscripts before submission using expert peer review.

• Website: https://manusights.com
• Journal guides: https://manusights.com/journal-guides
• Peer review resources: https://manusights.com/resources

Reproducible outputs

• License and usage guidance: docs/DATA_LICENSE_AND_USAGE.md
• Citation metadata: docs/CITATION.cff
• Feature engineering helper: scripts/derive_journal_features.py

Cite this resource

If this repository helps your work, cite:

Manusights. Journal Impact Factor Database (Research Utility). GitHub repository. https://github.com/Manusights/journal-impact-factor-database

Maintenance

This repository is actively maintained. Content refreshes are planned monthly.

Contributing

Suggestions are welcome through GitHub Issues and Pull Requests.

Accuracy boundaries

For official impact factor values, always use licensed primary data from your institution. This repository is a public utility layer for structure, workflows, and reproducible transformations.

Related Manusights Resources

• https://github.com/Manusights/journal-impact-factor-database
• https://github.com/Manusights/scientific-peer-review-checklist
• https://github.com/Manusights/journal-submission-guides
• https://github.com/Manusights/ai-generated-manuscript-detection
• https://github.com/Manusights/scientific-writing-resources
• https://github.com/Manusights/awesome-scientific-publishing

FAQ

• faq/how_to_choose_between_q1_journals.md
• faq/what_to_do_when_impact_factor_is_missing.md
• faq/how_to_use_impact_bands_without_overfitting.md
• faq/how_to_validate_submission_urls.md
• faq/how_to_handle_journal_name_variants.md
• faq/how_to_build_a_journal_tracker_sheet.md
• faq/how_to_compare_publishers_fairly.md
• faq/common_data_errors_in_journal_tables.md

Cornerstone guides

• guides/journal_selection_system_guide.md
• guides/data_quality_for_journal_tables.md

Case studies and diagrams

See case-studies/ and diagrams/ for worked examples and visual workflows.

Quickstart and learning paths

• quickstart/first_30_minutes.md
• learning-paths/