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AI Papers on arXiv: United States and China
Share of AI papers on arXiv with at least one author at an institution in each country, quarterly average of monthly shares, %
2 of 4 series are above their level a year earlier
Plays the chart through its history. Pauses are where the data set a record or moved most.
United States · Continuation · the recent trend, flattening · 30 days
China · Continuation · the recent trend, flattening · 30 days
United Kingdom · Continuation · the recent trend, flattening · 30 days
Germany · Continuation · the recent trend, flattening · 30 days
Dashed: the projection from the latest reading. A projection, not a promise.
Out of AI papers on arXiv where OpenAlex identified at least one author institution. A paper with authors in several places counts in each. Country is the institution's, not the author's nationality. Quarterly average of monthly shares, from OpenAlex.
The race in AI research output, measured by where the authors of AI papers on arXiv work.
What this chart reads
- Share of AI Papers on arXiv with an Author in the United States (Monthly)as “United States”latest 2026-09-01
- Share of AI Papers on arXiv with an Author in China (Monthly)as “China”latest 2026-09-01
- Share of AI Papers on arXiv with an Author in the United Kingdom (Monthly)as “United Kingdom”latest 2026-09-01
- Share of AI Papers on arXiv with an Author in Germany (Monthly)as “Germany”latest 2026-09-01
Sources
Share of AI Papers on arXiv with an Author in the United States (Monthly). Source: OpenAlex works with a location on arXiv whose primary topic is in the Artificial Intelligence (1702) or Computer Vision and Pattern Recognition (1707) subfield, counted by Palanor with grouped queries; windows skip 1 January, the date OpenAlex gives works known only by year. CC0. Source: OpenAlex.
Share of AI Papers on arXiv with an Author in China (Monthly). Source: OpenAlex works with a location on arXiv whose primary topic is in the Artificial Intelligence (1702) or Computer Vision and Pattern Recognition (1707) subfield, counted by Palanor with grouped queries; windows skip 1 January, the date OpenAlex gives works known only by year. CC0. Source: OpenAlex.
Share of AI Papers on arXiv with an Author in the United Kingdom (Monthly). Source: OpenAlex works with a location on arXiv whose primary topic is in the Artificial Intelligence (1702) or Computer Vision and Pattern Recognition (1707) subfield, counted by Palanor with grouped queries; windows skip 1 January, the date OpenAlex gives works known only by year. CC0. Source: OpenAlex.
Share of AI Papers on arXiv with an Author in Germany (Monthly). Source: OpenAlex works with a location on arXiv whose primary topic is in the Artificial Intelligence (1702) or Computer Vision and Pattern Recognition (1707) subfield, counted by Palanor with grouped queries; windows skip 1 January, the date OpenAlex gives works known only by year. CC0. Source: OpenAlex.
Charts are drawn from Palanor's signal library and recomputed from source data on every view. Transformations (changes, indexing, year-on-year rates) are Palanor's.