tackles the "Most Cited" in Linguistics
This blogs enables pregaduate and postgraduate researchers to identify the most cited original works, reviews and authors in the domain of linguistics. Because Google and Google-scholar offers only a sorting-on-date option in every scholarly journal or periodical, distinguishing the bogus from the original articles requires a formidable effort. Therefore, sorting-on-most cited is a stepping stone towards appreciating the significance of articles.
In phase I, we use Scopus search to sort, as above mentioned, the most cited original works, reviews, authors and topics in linguistics. A list of all linguistic topics are initially exported from linguistic encyclopedias before we apply a filtered search according to Scopus citation. What should be crucially emphasized about the different citation records between Scopus and Google Scholar is the reason for capturing conflicting numbers. Scopus approves citations from journals with impact factors ONLY. However, Google scholar counts every citation no matter how authentic it is. We also provide original note-cards for all the most-cited articles in linguistics.
In phase II, we enable term filtration and retrospective analysis. Thus, the authorial output shall be mapped and compared to other peer works. For example, Fillmore's frames and Lakoff's idealized cognitive model share several conceptual and chronological features. Explaining why the first effort has founded FrameNet while the later effort has run into several problems is attempted. Linking the dots, authors who shared similar contribution worldwide are charted and defined.
In phase III, we predict the most citation criteria in theoretical, applied, cognitive and computational linguistics. This effort should help linguistic students plan their studies and identify the missing gaps. Therefore, research studies, which do not advance the contemporary linguistic knowledge, are expected to be minimized.
Most cited original articles sorted on
Topic
Linguistic Journals
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Authors
Publisher
