Country research output by field (annual)
Annual scholarly output by country and research field from the official keyless OpenAlex API (CC0): works with a primary topic in Computer Science, Medicine, Engineering, Physics and Astronomy, Economics/Econometrics/Finance or Environmental Science, counted per country (full counting — a cross-border work credits every author country), ~200 countries, 2015-2025. Work counts plus each country's share of the field, year-on-year growth, the field's share of the country's six-field output, and the country's rank within the field-year. The geography layer for R&D, innovation and talent-flow models; joins on (country_code, year) with the catalog's other global panels.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 13 054
- Colonnes
- 11
- Cadence de la source
- Annuelle
- Dernière actualisation
- 5 oct. 2026
- Thème
- technology
| Colonne | Type | Description |
|---|---|---|
| country_code | string | ISO 3166-1 alpha-3 country code (OpenAlex authorships.countries ISO2 mapped through the catalog's canonical mapper). |
| country | string | Country name from the catalog's canonical ISO3 mapper. |
| field | string | Canonical field slug: computer_science, medicine, engineering, physics_astronomy, economics_finance, or environmental_science (OpenAlex primary_topic field). |
| field_label | string | Human-readable OpenAlex field name. |
| year | integer | Publication year (OpenAlex from/to_publication_date filter); complete calendar years 2015-2025. |
| works | integer | Works with a primary topic in the field attributed to the country (FULL counting: a work with authors from N countries credits all N). (unit: works) |
| share_of_field_pct | float | Country works as a percent of the field-year global total (OpenAlex meta.count); sums above 100% across countries wherever cross-border collaboration exists. (unit: percent) |
| yoy_pct | float | Year-on-year percent change in works within (country, field); null for 2015 (no prior year). (unit: percent) |
| field_share_of_country_pct | float | Field works as a percent of the country's own six-field total that year. (unit: percent) |
| country_field_rank | integer | Country rank within (field, year) by works desc (country_code asc tie-break); 1 = most works. (unit: rank) |
| row_hash | string | Deterministic sha256(country_code|field|year) truncated to 12 hex chars; row identity key. |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| country_code | country | field | field_label | year | works | share_of_field_pct | yoy_pct | field_share_of_country_pct | country_field_rank | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|
| ABW | Aruba | computer_science | Computer Science | 2 018 | 1 | 0 | — | 33,333 | 179 | 731b6cdcfafb |
| ABW | Aruba | computer_science | Computer Science | 2 025 | 1 | 0 | 0 | 9,091 | 198 | e0ec9c8a1458 |
| AFG | Afghanistan | computer_science | Computer Science | 2 015 | 1 | 0 | — | 2,273 | 165 | 13507670efed |
| AFG | Afghanistan | computer_science | Computer Science | 2 016 | 3 | 0,001 | 200 | 4,839 | 159 | 780a456d7ac6 |
| AFG | Afghanistan | computer_science | Computer Science | 2 017 | 10 | 0,002 | 233,333 | 12,195 | 139 | d54d07850651 |
| AFG | Afghanistan | computer_science | Computer Science | 2 018 | 6 | 0,001 | -40 | 5,263 | 152 | 32047814a03d |
| AFG | Afghanistan | computer_science | Computer Science | 2 019 | 20 | 0,003 | 233,333 | 11,111 | 138 | 34cbeded56d7 |
| AFG | Afghanistan | computer_science | Computer Science | 2 020 | 47 | 0,007 | 135 | 13,056 | 122 | fb26dfef04b8 |
| AFG | Afghanistan | computer_science | Computer Science | 2 021 | 41 | 0,006 | -12,766 | 8,454 | 129 | 4d3811c16da5 |
| AFG | Afghanistan | computer_science | Computer Science | 2 022 | 67 | 0,011 | 63,415 | 12,618 | 119 | 705e78517c02 |
Profilé le 5 oct. 2026 à partir de l’instantané 20261005T123420Z-94b9a5136360
Mesuré- Complétude
- 99,1 %
- Lignes
- 13 054
- Colonnes
- 11
- Colonnes incomplètes
- 1
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| country_codevarchar | 0 % | 272 | — |
|
| countryvarchar | 0 % | 240 | — |
|
| fieldvarchar | 0 % | 6 | — |
|
| field_labelvarchar | 0 % | 6 | — |
|
| yearbigint | 0 % | 12 | 2 015 → 2 025médiane 2 020 | |
| worksbigint | 0 % | 3 495 | 1 → 401 210médiane 135 | 131 hors du 1er–99e centile |
| share_of_field_pctdouble | 0 % | 8 794 | 0,0001 → 25,62médiane 0,0202 | 262 hors du 1er–99e centile |
| yoy_pctdouble | 10,1 % | 8 165 | -88,89 → 1 200médiane 7,71 | 220 hors du 1er–99e centile |
| field_share_of_country_pctdouble | 0 % | 9 272 | 0,0986 → 100médiane 11,9 | 262 hors du 1er–99e centile |
| country_field_rankbigint | 0 % | 239 | 1 → 223médiane 99 | 192 hors du 1er–99e centile |
| row_hashvarchar | 0 % | 13 458 | — |
|
- Actuelle
20261005T123420Z-94b9a5136360 · sha256 94b9a5136360…
13 054 lignes · premier instantané
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_country_research_intel/openalex_country_research_annual" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/openalex_country_research_intel/openalex_country_research_annual").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_country_research_intel/openalex_country_research_annual
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
D’où viennent ces données et ce qui en a été fait. Le travail des autres apparaît sous forme de décomptes ; seuls les projets partagés sont nommés.
Citer cet instantané
Épinglé à l’instantané 20261005T123420Z-94b9a5136360 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
OpenAlex country research-output intelligence. (2026). Country research output by field (annual) [Data set, snapshot 20261005T123420Z-94b9a5136360, sha256 94b9a5136360]. Datazimuts. Retrieved 2026-10-06, from https://datazimuts.com/fr/datasets/openalex_country_research_intel/openalex_country_research_annual?snapshot=20261005T123420Z-94b9a5136360
@misc{dz_openalex_country_research_intel_openalex_94b9a513,
title = {{Country research output by field (annual)}},
author = {{OpenAlex country research-output intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/openalex_country_research_intel/openalex_country_research_annual?snapshot=20261005T123420Z-94b9a5136360}},
note = {Snapshot 20261005T123420Z-94b9a5136360, sha256 94b9a5136360725c04474cc6a24126be3fbae5cbe43454a3298488147d1bfbe5; accessed 2026-10-06}
}Intégrer un tableau ou un graphique
Collez ce code dans n’importe quelle page. L’intégration est épinglée au même instantané, suit le thème clair ou sombre du lecteur et affiche toujours la source, la licence et un lien de retour.
<iframe src="https://datazimuts.com/embed/chart?dataset=openalex_country_research_intel%2Fopenalex_country_research_annual&lang=fr&theme=auto&snapshot=20261005T123420Z-94b9a5136360&x=year&y=year&agg=avg" title="Country research output by field (annual)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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