When quoting the number of citations for each paper you have published, different sources can be used, Google Scholar, ResearcherID, Scopus. Google Scholar covers a larger range of literature.

Is it acceptable to use Google Scholar? Or it is not a professional resource, and we necessarily should use ISI Web of Knowledge for counting citations?

  • 1
    In my limited experience, looking at my own publications: I find Google Scholar listed many citations that should not be included in a "professional" list. Are you publishing in some field that does not have a professional citation list?
    – GEdgar
    May 5 '15 at 18:03
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    Many problems with google scholar. These include (1) imperfect merging of versions means you can get multiple citations from multiple versions of the same paper, (2) imperfect parsing of author lists means that I get "credit" for all of the citations to papers I've edited for one journal, despite trying repeatedly to remove them from my profile, and (3) the system is easily gamed.
    – Corvus
    May 5 '15 at 18:32

None of the citation databases are particularly good. Google Scholar tends to err on the side of inclusiveness (thereby over-representing impact), while the more curated databases (e.g., ISI WoK) tend to err on the side of exclusiveness (thereby under-representing impact). This is particularly acute in some fields: computer science, for example, is notoriously under-represented in the curated databases to the degree that it has is own independent citation database, DBLP, which of course has its own different problems.

You can potentially use any of these databases reasonably to report citations in a reasonable and professional manner, as long as you are consistent and make it clear which database you are using, such that readers can adjust their expectations accordingly.

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    DBLP is not a citation database, but a publication database. They recently added links to third-party citation databases to their web interface (opencitations.net and crossref.org), but these seem to be vastly incomplete within computer science. Feb 15 '20 at 9:39

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