1,721,838 research outputs found
Two Christmas cards [2] [picture] /
Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-an8929097-2
Two Christmas cards [1] [picture] /
Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-an8929097-1
William Holman Hunt, c. 1865
1 carte de visiteCarte de visite of William Holman Hunt, c. 1865
William Holman Hunt, c. 1865
1 carte de visiteCarte de visite of William Holman Hunt, c. 1865
Eva June Sampson (Hunt), c. 1975
Eva June Sampson (Hunt), c. 1975.https://digitalcommons.georgefox.edu/perisho_alaska/1180/thumbnail.jp
Hunt, C G, NX34033
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/393971Surname: HUNT. Given Name(s) or Initials: C G. Military Service Number or Last Known Location: NX34033. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 18977.216627
Item: [2016.0049.26264] "Hunt, C G, NX34033
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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