University LT

Kaunas University of Technology

Papers we track 1,640
Since 1990
Most active in Low-Carbon Cementitious Composites and Industrial Waste Aggregates

Research trend share of papers by universities & colleges in Europe, per year

lower coverage before 2010 0.00% 0.09% 0.18% 2000 2010 2020 1990: 0.005% (1 papers) 1991: 0.013% (2 papers) 1992: 0.009% (1 papers) 1993: 0.008% (1 papers) 1995: 0.017% (3 papers) 1996: 0.032% (6 papers) 1997: 0.023% (4 papers) 1998: 0.006% (1 papers) 1999: 0.032% (7 papers) 2000: 0.028% (5 papers) 2001: 0.011% (3 papers) 2002: 0.046% (12 papers) 2003: 0.084% (18 papers) 2004: 0.143% (29 papers) 2005: 0.094% (18 papers) 2006: 0.112% (23 papers) 2007: 0.184% (41 papers) 2008: 0.115% (33 papers) 2009: 0.119% (34 papers) 2010: 0.143% (46 papers) 2011: 0.106% (38 papers) 2012: 0.089% (34 papers) 2013: 0.093% (44 papers) 2014: 0.075% (44 papers) 2015: 0.118% (63 papers) 2016: 0.055% (39 papers) 2017: 0.069% (44 papers) 2018: 0.053% (44 papers) 2019: 0.061% (60 papers) 2020: 0.079% (139 papers) 2021: 0.085% (145 papers) 2022: 0.094% (130 papers) 2023: 0.100% (155 papers) 2024: 0.078% (132 papers) 2025: 0.086% (128 papers) 2026: 0.088% (106 papers) — year in progress

Each point is this institution's share of the papers credited to universities & colleges in Europe 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 Kaunas University of Technology publishes. Institutions come from OpenAlex affiliations, rolled up to the parent organisation. Older papers often lack affiliations, so earlier years undercount.