A new study published on arXiv investigates the factors influencing research paper publication in prestigious journals, using economics as a case study. Researchers developed an LLM-based evaluator to assess paper quality directly from text, independent of author connections. The findings indicate that while execution quality is paramount, idea quality and author connections also play significant roles, with connections offering a slight advantage, particularly at the highest tiers of journal selectivity. AI
IMPACT Provides a novel method for evaluating research quality, potentially influencing academic publishing standards and AI's role in scientific evaluation.
RANK_REASON Academic paper analyzing research publication factors using an LLM.
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