Search across guide titles, topics, keywords, and content throughout the Researcher's Field Guide.
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Generative AI can help compare journal publication fees, but its figures may be outdated or incomplete. Learn how to verify APCs, waivers, additional charges, and publication routes before choosing a journal.
Read Guide →Researchers should treat AI-generated information as material to evaluate, not evidence to trust by default. A reliable verification process traces important claims back to independent, authoritative sources and checks whether the evidence actually supports them.
Read Guide →Generative AI can help researchers identify potential journals, compare publication requirements, and narrow their options. However, every recommendation requires verification against current official sources.
Read Guide →Generative AI can compare a manuscript with a journal's aims and scope, but sharing a research topic does not guarantee editorial suitability. Learn how to assess disciplinary fit, methodological expectations, and the manuscript's actual contribution.
Read Guide →Generative AI can recommend convincing academic journals that do not exist, sometimes accompanied by fabricated publishers or indexing claims. Learn how to recognize these errors and verify journal identities before submission.
Read Guide →Generative AI can help researchers investigate journal indexing, but it cannot independently guarantee current Scopus or Web of Science coverage. Learn how to verify indexing claims using authoritative databases and distinguish historical records from active coverage.
Read Guide →Generative AI can help identify warning signs associated with predatory publishing, but it cannot reliably determine whether a journal is predatory on its own. Learn how to evaluate journal credibility using verifiable evidence rather than AI-generated labels.
Read Guide →Every AI-suggested journal should be verified before it influences a submission decision. Learn a practical, evidence-based process for checking journal identity, indexing, scope, fees, metrics, and publishing policies using current official sources.
Read Guide →Generative AI is most useful as a research assistant for discovering, comparing, and evaluating potential journals, not as the final authority on where to publish. Learn how to use AI efficiently while keeping consequential publication decisions grounded in verified evidence.
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