2020
DOI: 10.25186/.v15i.1693
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Coffee crop science metric: A review

Abstract: Coffee is one of the leading worldwide drinks; therefore, it represents highly valued trade. However, coffee is a complex food from sowing to harvesting, processing, packaging, selling and consuming, although coffee is important in most of its stages, no studies have analyzed the dynamics of global coffee research. This paper presents an analysis of the evolution of Coffee related international research. It is based on the renowned literature databases published by Scopus and Web of Science. The parameters stu… Show more

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Cited by 10 publications
(6 citation statements)
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References 133 publications
(99 reference statements)
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“…In this phase, ScientoPy standardises the author's name by substituting it with a semicolon when extracting metadata from the Scopus database. Moreover, it removes dots, commas, and special characters from both databases' metadata, eliminating duplicate entries that share identical titles and authors (Pabon et al 2020).…”
Section: Pre-processing Datasetsmentioning
confidence: 99%
“…In this phase, ScientoPy standardises the author's name by substituting it with a semicolon when extracting metadata from the Scopus database. Moreover, it removes dots, commas, and special characters from both databases' metadata, eliminating duplicate entries that share identical titles and authors (Pabon et al 2020).…”
Section: Pre-processing Datasetsmentioning
confidence: 99%
“…The criteria for including datasets did not delineate any temporal scope or linguistic constraints. The chosen document types include conference papers, articles, reviews, proceedings papers, and preprints [24].…”
Section: Software and Databasementioning
confidence: 99%
“…ScientoPy was used to make the pre-processing of the bibliographic dataset. During the pre-processing step, ScientoPy uses the following criteria to normalize the author's name by replacing it with a semicolon for metadata retrieved from the Scopus database, stripped of dots, commas, and special characters for retrieval metadata from both databases and removing duplicated samples by identical title and authors (Abdullah & Sofyan, 2023;Pabon et al, 2020). The pre-process brief graph in Figure 1 shows the loaded documents for each database and the removed duplicated records.…”
Section: Pre-processing Datamentioning
confidence: 99%