From Nov 2023 to Oct 2026, 89 archived papers mentioned O*NET in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (8).
O*NET was mentioned in 1 paper in the last 30 days (2026-10-06 to 2026-11-04), ranking #172 of the 255 datasets mentioned.
By journal category: Economics (1).
Most of them appeared in Labour Economics (1).
From 2017 to 2026 (so far), O*NET was mentioned in 108 papers in the tracked journals, most of them in economics (61), management (18) and AI (7).
32 of them were published in 2025, against 4 in 2017.
Since 2023, the institutions with the most of these papers were Ghent University (5), IZA - Institute of Labor Economics (5) and UCLouvain (4).
The journals publishing most of them were Labour Economics (8), Technological Forecasting and Social Change (5) and Journal of Public Economics (4).
The most-cited of them is “Characterising green employment: The impacts of ‘greening’ on workforce composition” (Energy Economics, 2018), with 183 citations.
Papers use O*NET most often with Bureau of Labor Statistics (14), Eurostat (11) and Current Population Survey (8); it has 16 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….
Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Ahmed Alhussen, Mohd Anul Haq, Arfat Ahmad Khan et al.
Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.
Papers use O*NET most often with Bureau of Labor Statistics (14), Eurostat (11) and Current Population Survey (8); it has 16 partners in the code and data network, in the group around World Development…, Eurostat, International Energy…. The whole network →
What papers use O*NET together with (at least 3 papers; lift 1 = chance)
Friedrich-Alexander-Universität Erlangen-Nürnberg; Institut für Arbeitsmarkt und Berufsforschung
Cite this page
Scholar4AI. (2026). O*NET. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/o-net
@misc{scholar4ai-datasets-o-net,
author = {{Scholar4AI}},
title = {O*NET},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/o-net}},
urldate = {2026-11-04},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
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