Submit Your AI Research in 2026: What Editors Really Look For— JNGR 5.0 AI Journal

Introduction

Authors preparing an Artificial Intelligence manuscript often ask: What do journal editors evaluate before peer review?

This guide summarizes common elements typically assessed during initial editorial screening, prior to external review.

1. Scope Alignment

A primary screening criterion is whether the manuscript fits the journal’s aims and scope. Manuscripts may be declined at this stage when thematic alignment is unclear.

Authors may check:

  • Whether the topic matches the journal’s stated scope
  • Whether keywords and framing reflect the journal’s audience
  • Whether the introduction positions the work within the journal’s focus area

2. Clarity of Contribution

Editors commonly assess whether the manuscript provides a clear scholarly contribution. This may include:

  • Original findings or analysis
  • A clearly stated research gap
  • Relevance to current research discussions

If the contribution is not clearly articulated, the manuscript may not proceed to review.

3. Methodological Transparency

Methodological clarity supports effective peer review. Editorial screening may consider:

  • Clear research design and objectives
  • Appropriate and justified methods
  • Adequate data and analysis (where applicable)
  • Conclusions that follow from reported results

4. Structure and Presentation

Editors often evaluate presentation quality, including:

  • Abstract completeness and clarity
  • Logical organization and headings
  • Readable figures and tables
  • Formatting aligned with journal requirements

Presentation quality affects readability and editorial processing.

5. Ethical and Academic Integrity

Initial checks may include:

  • Plagiarism screening (as applicable)
  • Ethical approval statements (when required)
  • Accurate and appropriate citation practices
  • Confirmation of exclusive submission

Ethical compliance is a core requirement in scholarly publishing.

6. Readiness for Peer Review

Editors may consider whether the manuscript is suitable for external review in its current form, including:

  • Completeness of the work
  • Clarity of writing
  • Adequacy of reporting and documentation

7. Relevance to Current Research Themes

In AI, journals may receive submissions across diverse subfields. Authors may contextualize their work relative to current themes such as:

  • Generative AI systems
  • AI in healthcare and sustainability
  • Explainable and trustworthy AI
  • AI governance and risk management
  • Applied machine learning
  • Interdisciplinary AI research

Relevance should be framed in relation to the manuscript’s objectives and the journal’s scope.

Final Remarks

Editorial screening commonly focuses on scope alignment, clarity of contribution, methodological transparency, ethical compliance, and overall presentation quality.

Careful preparation and adherence to journal policies support responsible submission practices.

Related Resources

For additional information regarding submission and publication policies, please consult the following resources: