Open AccessUncertainty of author citation rankings: Lessons from in‐text citation weighing schemes
Author(s) -
Strotmann Andreas,
Zhao Dangzhi
Publication year - 2014
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.2014.14505101147
Subject(s) - citation , weighting , scheme (mathematics) , computer science , field (mathematics) , citation analysis , information retrieval , data science , statistics , mathematics , library science , medicine , radiology , pure mathematics , mathematical analysis
In‐text frequency‐weighted citation counting has been seen as a particularly promising solution to the well‐known problem of citation analysis that treats all citations equally, be they crucial to the citing paper or perfunctory. But what is a good weighting scheme? Our preliminary results show that the ranks of authors in the field of Library and Information Science vary wildly with different in‐text citation frequency weighting schemes, suggesting that author citation ranks may inherently be uncertain.