Visualize
Interactive visualizations of 152 research papers on the empirical economics of AI. Paper similarity map, publication trends, citation patterns, topic co-occurrence, geographic coverage, methodology landscape, and more.
Paper Similarity Map
Each point is a paper, positioned by semantic similarity using E5-small embeddings and t-SNE. Lines connect citing papers. Colored by AI/tech focus. Hover for details, click to view.
152 papers embedded with intfloat/e5-small-v2, reduced to 2D via t-SNE (perplexity=30). 221 citation links from OpenAlex. Scroll to zoom, drag to pan.
Publication Trends
How has research on AI economics grown over time? Breakdown by AI technology focus.
Citation Analysis
Distribution of citations across the corpus, most-cited papers, and citation impact metrics.
Topic Co-occurrence
Which research topics frequently appear together? Bubble size indicates co-occurrence strength.
Geographic Coverage
Where is the research focused? Distribution of papers by geographic scope.
29% of geographic annotations reference the US
Methodology Landscape
What empirical methods are most common in AI economics research?
Methods classified by keyword matching against keyMethods field. Papers may appear in multiple categories.
Dataset Usage
Which datasets appear most frequently as primary or secondary data sources?