Share of AI Papers on arXiv with an Author in Japan (Monthly)

## What this measures

Of AI papers on arXiv in OpenAlex (primary topic in the Artificial Intelligence or Computer Vision subfield) with a publication date in the month, out of those where OpenAlex identified at least one author institution, the share with at least one author at an institution in Japan. A paper with authors in several countries counts in each.

## Why it matters

It tracks Japan weight in AI research output against other countries.

## How to read it

The series starts in February 2016 at 3.9%. The latest reading, for September 2026, is 4.1%. The high is 5.7% (February 2018) and the low 2.7% (October 2021).

## What it does not say

Country comes from the institution, not the author's nationality. Shares across countries add to more than 100% because of co-authorship. OpenAlex identifies at least one institution for between 46% and 89% of these papers a month (lowest in July 2025); a paper without one is left out of the base, so a month with weak coverage reads noisier. Single months move several points; read the quarterly average.

## 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.