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Research domain
Literature Discovery
The Literature Discovery domain comprises 724 papers in this corpus published between 1974 and 2026. Work here is dominated by Design Science, Empirical Study, Benchmarking.
Methodology profile
- Design Science226 (31%)
- Empirical Study118 (16%)
- Benchmarking114 (16%)
- Literature Review67 (9%)
- Experimental67 (9%)
- Conceptual32 (4%)
Themes covered
- AI-Assisted Discovery276 (38%)
- Systematic Review Automation207 (29%)
- RAG for Research185 (26%)
- Evaluation & Benchmarks21 (3%)
- Hallucination Control10 (1%)
- Citation Integrity3 (0%)
Frequent sub-topics
LLM-enabled transcriptomics data retrieval and gene discovery automation · 1LLM-based content coding for competitive dynamics measurement · 1Automated research gap identification using embeddings and LLMs in systematic literature reviews · 1LLM-based scholarly content synthesis via mobile interface · 1Anchor-guided disentanglement of embeddings for interpretable document retrieval · 1Multi-model embedding combinations for SLR screening · 1AI-driven research gap identification using embeddings and clustering · 1AI-assisted literature analysis and living reviews · 1
Representative papers
- Artificial intelligence and the conduct of literature reviewsGerit Wagner · 2021 · 275 citations
- Artificial intelligence for literature reviews: opportunities and challengesF. J. Bolaños · 2024 · 188 citations
- The emergence of large language models as tools in literature reviews: a large language model-assisted systematic reviewDmitry Scherbakov · 2025 · 95 citations
- Large language models for conducting systematic reviews: on the rise, but not yet ready for use—a scoping reviewJudith-Lisa Lieberum · 2025 · 91 citations
- Automating Systematic Literature Reviews with Retrieval-Augmented Generation: A Comprehensive OverviewBinglan Han · 2024 · 45 citations
- A guide for structured literature reviews in business research: The state-of-the-art and how to integrate generative artificial intelligenceFabian Tingelhoff · 2024 · 35 citations
- Synthesizing scientific literature with retrieval-augmented language modelsAkari Asai · 2026 · 14 citations
- Artificial Intelligence in Literature Review Synthesis: A Step-by-Step Methodological Approach for Researchers and AcademicsMatolwandile Mzuvukile Mtotywa · 2026 · 5 citations