12,445 papers · continuously updated · last export: 10 Aug 2026livingmeta.ai
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Research theme

Scholarly Publishing

The Scholarly Publishing theme comprises 112 papers in this corpus published between 2004 and 2026. Work here is dominated by Empirical Study, Position Paper, Literature Review. 5 open research gaps have been surfaced in this area.

Methodology profile

  • Empirical Study20 (18%)
  • Position Paper17 (15%)
  • Literature Review17 (15%)
  • Content Analysis11 (10%)
  • Conceptual11 (10%)
  • Design Science10 (9%)

Research domains

  • Scholarly Infrastructure96 (86%)
  • Peer Review8 (7%)
  • Academic Writing3 (3%)
  • Knowledge Synthesis1 (1%)

Frequent sub-topics

Generative AI impacts on journals, conferences, and peer review systems · 1AI governance in publishing, provenance and disclosure · 1faculty publication monitoring system using API · 1LLM applications in health care communication · 1open access advantage in citation and altmetrics over time · 1citation patterns and source grounding in LLM-generated brand information · 1AI-driven patient-friendly radiology report generation · 1automatic summarization of legal judgments using NLP and LLMs · 1

Open research gaps

  • The paper identifies the need for better understanding of barriers and unique experiences ECRs face during peer review, particularly in the context of AI-generated manuscripts and opaque communication
  • Need for factorial designs that separate AI provenance from disclosure cues
  • Standardisation of reporting cue wording, placement, and validated outcome measures
  • More research on disclosure cue effects (currently limited to 10 studies)
  • Investigation of conditional effects based on topic, baseline trust, outlet/source cues, and human oversight signalling

Representative papers

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