From Nov 2023 to Oct 2026, 23 archived papers mentioned LISS panel in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jun 2025 (3).
LISS panel was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
By journal category: Economics (1).
Most of them appeared in Journal of Economic Behavior & Organization (1).
From 2017 to 2026 (so far), LISS panel was mentioned in 26 papers in the tracked journals, most of them in economics (14), health economics and policy (3) and operations research (3).
10 of them were published in 2025, against 0 in 2017.
Since 2023, the institutions with the most of these papers were Tilburg University (6), University of Groningen (5) and Erasmus University Rotterdam (4).
The journals publishing most of them were Transportation (2), Journal of Risk and Uncertainty (2) and Journal of Behavioral and Experimental Economics (2).
The most-cited of them is “Working from home during the corona-crisis is associated with higher subjective well-being for women with long (pre-corona) commutes” (Transportation Research Part A Policy and Practice, 2021), with 37 citations.
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)
Maliheh Tabasi, Amarin Siripanich, Nazmul Arefin 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 mentioning LISS panel in the last 30 days, newest first.
Hans Degryse, Alberta Di Giuli, Naciye Sekerci et al.
Centre for Economic Policy Research; KU Leuven
Cite this page
Scholar4AI. (2026). LISS panel. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/liss-panel
@misc{scholar4ai-datasets-liss-panel,
author = {{Scholar4AI}},
title = {LISS panel},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/liss-panel}},
urldate = {2026-11-05},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).