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Current Nutrition & Food Science

Editor-in-Chief

ISSN (Print): 1573-4013
ISSN (Online): 2212-3881

Review Article

Bibliometric Analysis of Highly Cited Articles on Organic Food Products

Author(s): Poonam Painuly and Prachi Pachaury*

Volume 18, Issue 4, 2022

Published on: 21 February, 2022

Page: [363 - 374] Pages: 12

DOI: 10.2174/1573401318666220117115516

Price: $65

Abstract

Aim: The purpose of the present study is to map and address renowned authors, scientific annual production, collaboration indices, impact factors, and keyword and count objects towards organic food products.

Methods: The current analysis examined 140 research articles published in Science Citation Index (SCI) and Social Science Citation Index (SSCI) databases from 2002 to 2021. Additionally, the study conducted a bibliometric review on small but promising literature from the Web of Science database and included only highly cited articles.

Results and Discussion: This study investigated that India has secured a position in the world for single country production and multiple country production. Besides this, the publication trend of organic food products showed enormous growth in recent times. This study also identified that “H” indexed authors such as Gracia D.E.A. Magistrist, and Albrecht SE. showed their interest in organic food products and published many articles in this domain.

Conclusion: For further research in relation to different aspects of organic food products, such as proper knowledge and communication of organic food, it defines a preposition for future insight into the topic. Similarly, it focuses upon the choice experiment of the consumers towards this domain and also uncovers the preposition in relation to organic food products for future research. The result also highlights the level of publication and scientific production of organic food products, which has increased from 2002- 2021.

Keywords: Organic food products, bibliometric analysis, highly cited articles, trend analysis, consumption, science citation index.

Graphical Abstract

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