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. 2023 Jun 26;9(7):e17573.
doi: 10.1016/j.heliyon.2023.e17573. eCollection 2023 Jul.

A bibliometric approach to understanding the recent development of self-sufficient fish feed production utilizing agri-food wastes and by-products towards sustainable aquaculture

Adhita Sri Prabakusuma  1   2 , Budi Wardono  3 , Mochammad Fahlevi  4 , Armen Zulham  3 , Mas Tri Djoko Sunarno  5 , Mat Syukur  3 , Mohammed Aljuaid  6 , Sebastian Saniuk  7 , Tenny Apriliani  8 , Radityo Pramoda  8
Affiliations

A bibliometric approach to understanding the recent development of self-sufficient fish feed production utilizing agri-food wastes and by-products towards sustainable aquaculture

Adhita Sri Prabakusuma et al. Heliyon. .

Abstract

The global agri-food industry generates a large volume of waste annually, which causes both environmental and economic problems. Recently, there has been a growing interest in the use of agri-food wastes and by-products to produce self-sufficient fish feed. This study aimed to analyze the intellectual structure of the recent research on the utilization of agri-food wastes and by-products as self-sufficient fish feed materials based on 922 Scopus-indexed core collection documents from 252 journals written by 4420 authors from 73 countries with an annual growth rate of 18.65% over the last four years (2019-2022). This bibliometric study implemented knowledge domain visualization (KDV) using VOSViewer and Biblioshiny in the Bibliometrix R-package to investigate the basic scientometric profile of the selected fields. The results showed that Dawood M.A.O., with PageRanks of 0.0732, 19 total publications, 695 global citations from 2019 to 2022, and closeness values of 0.25, was the most productive author within the field. Subsequently, China was determined to be the most productive country (93 valid documents) and have the strongest collaboration network. Major research hotspots in the field included aquaculture and sustainable aquaculture, fish feed with agri-food waste, rainbow trout species, the development of a circular economy, probiotic applications, and cell signaling cytokines and peptides. This bibliometric study provides comprehensive information on the intellectual domain and research landscape on self-sufficient fish feed and also shows how interest in this research topic and similar ones is growing.

Keywords: Agri-food wastes and by-products; Bibliometric approach; Fish feed; Intellectual structure; Sustainable aquaculture.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Annual scientific production on the research literature on self-sufficient fish feed produced from agri-food waste and by-products during 2019–2022.
Fig. 2
Fig. 2
Top 20 most productive countries in scientific production during 2019–2022. MCP = Multiple Country Publications; SCP = Single Country Publication.
Fig. 3
Fig. 3
Top 20 most cited documents during 2019–2022.
Fig. 4
Fig. 4
Top 20 source trends dynamics during 2019–2022.
Fig. 5
Fig. 5
Top 20 authors over time during 2019–2022.
Fig. 6
Fig. 6
The fit of research literature distribution and authors' productivity in comparison with Lotka's law.
Fig. 7
Fig. 7
Global collaboration map based on the location of authors, the number of scientific production, and networking link strength.
Fig. 8
Fig. 8
Global co-authorship collaboration map based on the location of authors, the number of scientific production, and networking link strength.
Fig. 9
Fig. 9
Co-occurrence network visualization map of the terms found in the abstract. (a) Network visualization; (b) overlay visualization; and (c) density visualization.
Fig. 10
Fig. 10
Word cloud of the common keywords used by the authors in Scopus-indexed publications (size represents the frequency of use of keywords).
Fig. 11
Fig. 11
Potential keywords and the fluctuation of body of knowledge in the research.
Fig. 12
Fig. 12
Thematic evolution of the observed research field during the period of 2019–2022.
Fig. 13
Fig. 13
Factorial approach using MCA elucidates conceptual structure map (a) and topic dendrogram (b).
See this image and copyright information in PMC

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