University BR

Universidade Federal do Rio Grande do Norte

Papers we track 2,415
Since 1980
Most active in Catalytic Conversion of Fuels and Biomass to Chemicals

Research trend share of all papers we track, per year

lower coverage before 2010 0.00% 0.02% 0.03% 2000 2010 2020 1990: 0.002% (2 papers) 1991: 0.002% (2 papers) 1992: 0.001% (1 papers) 1993: 0.002% (3 papers) 1994: 0.003% (3 papers) 1995: 0.003% (3 papers) 1996: 0.001% (1 papers) 1997: 0.006% (5 papers) 1998: 0.004% (6 papers) 1999: 0.015% (20 papers) 2000: 0.016% (19 papers) 2001: 0.019% (15 papers) 2002: 0.019% (22 papers) 2003: 0.025% (23 papers) 2004: 0.014% (21 papers) 2005: 0.028% (32 papers) 2006: 0.017% (28 papers) 2007: 0.011% (24 papers) 2008: 0.010% (22 papers) 2009: 0.015% (24 papers) 2010: 0.013% (25 papers) 2011: 0.011% (25 papers) 2012: 0.023% (56 papers) 2013: 0.015% (53 papers) 2014: 0.022% (82 papers) 2015: 0.019% (81 papers) 2016: 0.028% (126 papers) 2017: 0.024% (52 papers) 2018: 0.024% (40 papers) 2019: 0.030% (69 papers) 2020: 0.023% (230 papers) 2021: 0.022% (236 papers) 2022: 0.021% (219 papers) 2023: 0.019% (204 papers) 2024: 0.022% (214 papers) 2025: 0.019% (222 papers) 2026: 0.024% (184 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 Universidade Federal do Rio Grande do Norte publishes. Institutions come from OpenAlex affiliations, rolled up to the parent organisation. Older papers often lack affiliations, so earlier years undercount.