AI research output by country and year (works count)

Annual counts of scholarly works tagged with the OpenAlex 'Artificial intelligence' concept (C154945302), by author country and publication year - the country-level companion to the global monthly AI research-velocity signals. Provenance: OpenAlex Works API (https://api.openalex.org/works), keyless, CC0-1.0. Counts include all work types OpenAlex indexes (journal articles, preprints, conference papers, datasets); a work with authors in several countries counts once per country. Coverage: publication years 2015 to the present; years before 2015 are not collected. Kosovo appears under the de facto code XKX (ISO 3166-1 assigns it no code). Primary key: (country_code, year); country_code is ISO 3166-1 alpha-3 and joins other hub country datasets. Cadence: refreshed monthly; the current year is partial and its counts grow as OpenAlex indexes new works. Nullability: works_count is never null (0 allowed); country_code, country_name and year are never null. Sample use: filter year = the latest full year and order by works_count desc for the current country ranking.

Source

OpenAlex

Rows

2,400

Columns

4

Source cadence

Monthly

Last refreshed

Sep 23, 2026

Theme

technology

• ai-research
• openalex
• publication-trends
• innovation
• research

First 10 sample rows — a preview, not the complete dataset.

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

curl "https://datazimuts.com/v1/datasets/openalex/openalex_ai_works_by_country_year" | jq '{title, rows, columns_count, license}'

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/openalex/openalex_ai_works_by_country_year").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/openalex/openalex_ai_works_by_country_year

Tip: fetch /llms.txt for the full machine-readable catalog.