@CONFERENCE\{IMM2017-07010,
    author       = "F. {\AA}. Nielsen and D. Mietchen and E. Willighagen",
    title        = "Scholia, Scientometrics and Wikidata",
    year         = "2017",
    month        = "aug",
    keywords     = "Wikidata, scientometrics",
    booktitle    = "",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "Department of Applied Mathmatics and Computer Science, Technical University of Denmark",
    organization = "",
    address      = "Building 321, {DK-}2800 Kgs. Lyngby",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/7010-full.html",
    abstract     = "Scholia is a tool to handle scientific bibliographic information through Wikidata. The Scholia Web service creates on-the-fly scholarly profiles for researchers, organizations, journals, publishers, individual scholarly works, and for research topics. To collect the data, it queries the {SPARQL-}based Wikidata Query Service. Among several display formats available in Scholia are lists of publications for individual researchers and organizations, plots of publications per year, employment timelines, as well as co-author and topic networks and citation graphs. The Python package implementing the Web service is also able to format Wikidata bibliographic entries for use in LaTeX/BIBTeX. Apart from detailing Scholia, we describe how Wikidata has been used for bibliographic information and we also provide some scientometric statistics on this information."
}