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Coffee arabica research (1932-2023): Performance, thematic evolution and mapping, global landscape, and emerging trends.
Abdelwahab, Siddig Ibrahim; Elhassan Taha, Manal Mohamed; Jerah, Ahmed Ali; Aljahdali, Ieman A; Oraibi, Bassem; Alfaifi, Hassan Ahmad; Abdullah, Saleh M; Alzahrani, Amal Hamdan; Oraibi, Omar; Babiker, Yasir; Farasani, Abdullah.
Afiliação
  • Abdelwahab SI; Health Research Centre, Jazan University, Jazan, Saudi Arabia.
  • Elhassan Taha MM; Health Research Centre, Jazan University, Jazan, Saudi Arabia.
  • Jerah AA; Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
  • Aljahdali IA; Department of Clinical Laboratory Sciences, Taif university, Taif, Saudi Arabia.
  • Oraibi B; Health Research Centre, Jazan University, Jazan, Saudi Arabia.
  • Alfaifi HA; Pharmaceutical Care Administration (Jeddah Second Health Cluster), Ministry of Health, Saudi Arabia.
  • Abdullah SM; Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
  • Alzahrani AH; Department of Pharmacology and Toxicology, College of Pharmacy, King Abdulaziz University, Saudi Arabia.
  • Oraibi O; Department of Internal Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.
  • Babiker Y; Department of Surgery, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.
  • Farasani A; Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
Heliyon ; 10(16): e36137, 2024 Aug 30.
Article em En | MEDLINE | ID: mdl-39224297
ABSTRACT

Background:

Research on Coffea arabica focuses on various aspects, including genetics, breeding, climate change resilience, pest and disease management, agronomy, sensory analysis, and sustainability. This study aims to analyze the hotspots, conceptual map and dynamicity, global landscape, and emerging trends in Coffea arabica research (CA-R).

Methods:

A comprehensive dataset comprising data-driven articles (N = 3967) from 1932 to 2023 was extracted from Scopus using predefined search terms. VOSviewer and Bibliometrix applications were utilized to analyze the data. Thematic evolution was examined by identifying shifts in research focus over time. The global landscape was assessed by examining comparative productivity and collaborative dynamics. Highly-cited CA-R was identified to highlight key findings in specific research areas.

Results:

The analysis revealed a steady growth of CA-R (annual growth rate = 6.53 %), with strong international collaboration (international co-authorships = 29.35 %) and significant contributions from various countries. Brazil leads the way with 1601 publications, accounting for 28.55 % of the total. Recognizable CA-R focused on important areas such as pollination, shade management, nanotechnology applications, roasting effects, disease management, and environmental impacts. Thematic analysis identified five distinct clusters representing different CA-R themes "coffee", "coffea," "fermentation," "Coffea arabica," and "climate change." Emerging themes such as "in vitro culture," "sustainable agriculture," "climate change," and "coffee berry borer" were also identified.

Conclusion:

The current findings enhance our understanding of CA-R and lay the groundwork for future studies in the coffee industry.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article