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      Visualizing the knowledge domain of anti-poverty research between 2011 and 2020: a bibliometric analysi in CiteSpace Translated title: Visualizando o domínio do conhecimento da pesquisa anti-pobreza entre 2011 e 2020: uma análise bibliométrica no CiteSpace

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          Abstract

          ABSTRACT: The elimination of poverty and hunger in all its forms and dimensions is one of the key objective of global sustainable development (GSD). This paper analyzed the characteristics of literature release, research progress and frontier trends in the field of anti-poverty in the past ten years by means of bibliometrics, and information visualization. Using CiteSpace to analyze the literature on anti-poverty in the core journals of Web of Science and Scopus (W&S), and China National Knowledge Infrastructure (CNKI). The results showed that:(1) The heat of anti-poverty research is on the rise in both W&S and CNKI, the growth rate of Chinese literature published is significantly higher than that of English literature after 2015, but the international influence is not enough. (2) Researchers and institutions in W&S are more independent than in CNKI. The Chinese research team is more stable and larger, but it needs to be further strengthened in cross-institutional and interdisciplinary research. (3)The research content in W&S mainly focuses on influencing factors and poverty reduction mechanisms, ecosystem services, maternal health and sustainable development. According to the China National Knowledge Infrastructure (CNKI), China paid more attention to concrete ways to reduce poverty, and after completing the fight against absolute poverty by 2020, China will pay more attention to reducing relative poverty and solve multi-dimensional poverty problems by improving the security of medical care, education and housing conditions.

          Translated abstract

          RESUMO: A eliminação da pobreza e da fome em todas as suas formas e dimensões é um dos principais objetivos do desenvolvimento sustentável global (GSD). Este artigo analisa as características da divulgação da literatura, o progresso da pesquisa e as tendências de fronteira no campo do combate à pobreza nos últimos dez anos por meio de bibliometria e visualização de informações. Uso do CiteSpace para analisar a literatura sobre combate à pobreza nas principais revistas da Web of Science e Scopus (W&S) e da China National Knowledge Infrastructure (CNKI). Os resultados mostram que: (1) O calor da pesquisa anti-pobreza está aumentando tanto na W&S quanto na CNKI, a taxa de crescimento da literatura chinesa publicada é significativamente maior do que a da literatura inglesa após 2015, mas a influência internacional não é suficiente; (2) Pesquisadores e instituições em W&S são mais independentes do que na CNKI; a equipe de pesquisa chinesa é mais estável e maior, mas precisa ser fortalecida ainda mais na pesquisa interinstitucional e interdisciplinar; (3) O conteúdo da pesquisa em W&S concentra-se principalmente nos fatores que influenciam e nos mecanismos de redução da pobreza, serviços ecossistêmicos, saúde materna e desenvolvimento sustentável. De acordo com a China National Knowledge Infrastructure (CNKI), a China prestou mais atenção a formas concretas de reduzir a pobreza e, após completar a luta contra a pobreza absoluta até 2020, a China prestará mais atenção à redução da pobreza relativa e resolverá os problemas de pobreza multidimensional em melhorar a segurança dos cuidados médicos, educação e condições de habitação.

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          Most cited references46

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          CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature

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            Searching for intellectual turning points: progressive knowledge domain visualization.

            C. Chen (2004)
            This article introduces a previously undescribed method progressively visualizing the evolution of a knowledge domain's cocitation network. The method first derives a sequence of cocitation networks from a series of equal-length time interval slices. These time-registered networks are merged and visualized in a panoramic view in such a way that intellectually significant articles can be identified based on their visually salient features. The method is applied to a cocitation study of the superstring field in theoretical physics. The study focuses on the search of articles that triggered two superstring revolutions. Visually salient nodes in the panoramic view are identified, and the nature of their intellectual contributions is validated by leading scientists in the field. The analysis has demonstrated that a search for intellectual turning points can be narrowed down to visually salient nodes in the visualized network. The method provides a promising way to simplify otherwise cognitively demanding tasks to a search for landmarks, pivots, and hubs.
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              Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace.

              Regenerative medicine involves research in a number of fields and disciplines such as stem cell research, tissue engineering and biological therapy in general. As research in these areas advances rapidly, it is critical to keep abreast of emerging trends and critical turns of the development of the collective knowledge.
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                Author and article information

                Journal
                cr
                Ciência Rural
                Cienc. Rural
                Universidade Federal de Santa Maria (Santa Maria, RS, Brazil )
                0103-8478
                1678-4596
                2023
                : 53
                : 2
                : 20201107
                Affiliations
                [2] Chengdu orgnameSichuan Agricultural University orgdiv1College of Economics China
                [1] Chengdu orgnameSichuan Academy of Social Sciences orgdiv1Institute of Rural Development China
                Article
                S0103-84782023000200801 S0103-8478(23)05300200801
                10.1590/0103-8478cr20201107
                7452fa36-a3b2-40bd-aa10-cda41b92f8a5

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 22 December 2020
                : 06 January 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 46, Pages: 0
                Product

                SciELO Brazil

                Categories
                Rural Sociology

                CiteSpace,research hotspots,anti-poverty,knowledge system,bibliometrics,hotspots de pesquisa,combate à pobreza,sistema de conhecimento,bibliometria

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