University BE

KU Leuven

Papers we track 16,885
Since 1980
Most active in Oxide-Based Memory, Neuromorphic Computing and Low-Power Transistor Devices

Research trend share of all papers we track, per year

lower coverage before 2010 0.00% 0.09% 0.17% 2000 2010 2020 1990: 0.103% (79 papers) 1991: 0.143% (93 papers) 1992: 0.121% (95 papers) 1993: 0.129% (97 papers) 1994: 0.150% (116 papers) 1995: 0.137% (111 papers) 1996: 0.139% (124 papers) 1997: 0.133% (118 papers) 1998: 0.160% (161 papers) 1999: 0.160% (160 papers) 2000: 0.123% (125 papers) 2001: 0.145% (164 papers) 2002: 0.114% (132 papers) 2003: 0.153% (181 papers) 2004: 0.143% (188 papers) 2005: 0.153% (181 papers) 2006: 0.163% (236 papers) 2007: 0.146% (234 papers) 2008: 0.153% (241 papers) 2009: 0.138% (280 papers) 2010: 0.163% (349 papers) 2011: 0.160% (342 papers) 2012: 0.159% (470 papers) 2013: 0.166% (558 papers) 2014: 0.171% (681 papers) 2015: 0.165% (718 papers) 2016: 0.139% (740 papers) 2017: 0.121% (333 papers) 2018: 0.149% (314 papers) 2019: 0.129% (378 papers) 2020: 0.111% (1,328 papers) 2021: 0.102% (1,290 papers) 2022: 0.091% (1,159 papers) 2023: 0.092% (1,249 papers) 2024: 0.087% (1,188 papers) 2025: 0.074% (1,033 papers) 2026: 0.077% (724 papers) — year in progress

Each point is this institution's share of the papers credited to all institutions that year, with credit split across co-authoring institutions. A share, not a count, because our collection grows unevenly by year. Hover a point for the figures. The hollow point is the year in progress.

Where it works most top research communities, by papers

Check communities to show the trend above for them only. Positions are by fractional papers across all years. A community page ranks its institutions by citation-weighted credit, so its order can differ.

Covers the materials and chemistry research Elements Live tracks, not everything KU Leuven publishes. Institutions come from OpenAlex affiliations, rolled up to the parent organisation. Older papers often lack affiliations, so earlier years undercount.