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Research method
Qualitative
The Qualitative method comprises 710 papers in this corpus published between 1991 and 2026.
Themes covered
- Responsible AI Use291 (41%)
- AI Literacy Training109 (15%)
- Institutional Policy66 (9%)
- AI Manuscript Writing62 (9%)
- AI-Assisted Discovery32 (5%)
- Epistemic Risk28 (4%)
Research domains
- Human-AI Collaboration190 (27%)
- AI Governance159 (22%)
- Academic Writing90 (13%)
- Doctoral Training80 (11%)
- Research Integrity66 (9%)
- Bias & Epistemic Risk22 (3%)
Frequent sub-topics
organizational conditions for scaling AI adoption and overcoming pilot trap · 1digital burnout and productivity paradox · 1student experiences with generative AI in higher education, ethical awareness · 1technology adoption comparison, faculty perspectives on GenAI vs VR · 1Generative AI in student collaboration and academic teamwork · 1anthropomorphization through memory and interactional alignment in generative AI · 1human-in-the-loop oversight configurations for generative AI implementation · 1collective evaluation and sensemaking of generative AI outputs in teamwork · 1
Representative papers
- The impact of generative AI on the scholarly communications of early career researchers: An international, multi‐disciplinary studyDavid Nicholas · 2024 · 15 citations
- Exploring students’ perspectives on Generative AI-assisted academic writingJinhee Kim · 2024 · 298 citations
- Speeding up to keep up: exploring the use of AI in the research processJennifer Chubb · 2021 · 198 citations
- Generative artificial intelligence for academic research: evidence from guidance issued for researchers by higher education institutions in the United StatesAmrita Ganguly · 2025 · 22 citations
- College students' credibility assessments of GenAI‐generated information for academic tasks: An interview studyWonchan Choi · 2024 · 16 citations
- Responsible use of large language models in manuscript authorship, peer review, and editorial processes: a Delphi consensus among editors-in-chief of anaesthesia and pain medicine journals (RULE-AP)Alessandro De Cassai · 2026 · 9 citations
- AI, originality, and attribution: Researchers’ perspectives on distinguishing contributionsYanyi Wu · 2025 · 7 citations
- Where Will AI Take Scholarly Communication? Voices From the Research FrontlineDavid Nicholas · 2025 · 5 citations