Country research output by field (annual)

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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.

Source: OpenAlex country research-output intelligence
Rows: 13,054
Columns: 11
Source cadence: Yearly
Last refreshed: Oct 5, 2026
Theme: technology

Column	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.

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

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

Profiled Oct 5, 2026 from snapshot 20261005T123420Z-94b9a5136360

Measured

Completeness: 99.1%
Rows: 13,054
Columns: 11
Columns with gaps: 1

Rows per yearyear · 2015–2025 · 11 years

20152025

Column	Missing	Distinct	Range	Distribution
country_codevarchar	0%	272	—	ALB66 ARE66 ARG66
countryvarchar	0%	240	—	Albania66 Algeria66 Argentina66
fieldvarchar	0%	6	—	medicine2,391 environmental_science2,341 engineering2,193
field_labelvarchar	0%	6	—	Medicine2,391 Environmental Science2,341 Engineering2,193
yearbigint	0%	12	2,015 → 2,025median 2,020
worksbigint	0%	3,495	1 → 401,210median 135	131 outside 1st–99th percentile
share_of_field_pctdouble	0%	8,794	0.0001 → 25.62median 0.0202	262 outside 1st–99th percentile
yoy_pctdouble	10.1%	8,165	-88.89 → 1,200median 7.71	220 outside 1st–99th percentile
field_share_of_country_pctdouble	0%	9,272	0.0986 → 100median 11.9	262 outside 1st–99th percentile
country_field_rankbigint	0%	239	1 → 223median 99	192 outside 1st–99th percentile
row_hashvarchar	0%	13,458	—	0009e13ab3aa1 00126df2ac8f1 0013ac13502a1

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

cURL

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

Python

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)

API endpoint: https://datazimuts.com/v1/datasets/openalex_country_research_intel/openalex_country_research_annual

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

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Pinned to snapshot 20261005T123420Z-94b9a5136360 and its content hash, so readers get exactly the data you used.

APA

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/en/datasets/openalex_country_research_intel/openalex_country_research_annual?snapshot=20261005T123420Z-94b9a5136360

BibTeX

@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/en/datasets/openalex_country_research_intel/openalex_country_research_annual?snapshot=20261005T123420Z-94b9a5136360}},
  note         = {Snapshot 20261005T123420Z-94b9a5136360, sha256 94b9a5136360725c04474cc6a24126be3fbae5cbe43454a3298488147d1bfbe5; accessed 2026-10-06}
}

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Country research output by field (annual)

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