Machine learning research output by country and year (works count)
Annual counts of scholarly works tagged with the OpenAlex 'Machine learning' concept (C119857082), by author country and publication year. 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
- Lignes
- 2 361
- Colonnes
- 4
- Cadence de la source
- Mensuelle
- Dernière actualisation
- 23 sept. 2026
- Thème
- technology
| Colonne | Type | Description |
|---|---|---|
| country_code | string | ISO 3166-1 alpha-3 country code, mapped from the OpenAlex alpha-2 country group key. |
| country_name | string | Canonical English short country name for country_code. |
| year | integer | Publication year the works count applies to. |
| works_count | integer | Number of OpenAlex works in the country group for the year (the group-by 'count': works in this group). (unit: works) |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| country_code | country_name | year | works_count |
|---|---|---|---|
| AFG | Afghanistan | 2 015 | 2 |
| AGO | Angola | 2 015 | 4 |
| ALB | Albania | 2 015 | 42 |
| ARE | United Arab Emirates | 2 015 | 257 |
| ARG | Argentina | 2 015 | 238 |
| ARM | Armenia | 2 015 | 19 |
| ATG | Antigua and Barbuda | 2 015 | 2 |
| AUS | Australia | 2 015 | 3 716 |
| AUT | Austria | 2 015 | 719 |
| AZE | Azerbaijan | 2 015 | 33 |
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/openalex/openalex_ml_works_by_country_year" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/openalex/openalex_ml_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)Point d’accès API: https://datazimuts.com/v1/datasets/openalex/openalex_ml_works_by_country_year
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.