Global collaboration outweighs algorithmic complexity in AI-finance research: a negative binomial analysis of citation impact (2015-2025)
This study of 2,694 AI-finance articles (2015–2025) reveals that global collaboration, funding, and open access are the primary drivers of citation impact, while a "Complexity Paradox" penalizes methodologically specialized topics like Deep Learning and interpretable Risk Management, suggesting that audience breadth and novelty outweigh technical sophistication in determining scholarly influence.