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Bibliometric analysis on good governance against corruption: A dataset from (2015-2024)

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Mendeley Data2026-04-18 收录
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This study focuses on analyzing research on good governance and corruption, utilizing a dataset of 2,537 documents extracted from the Scopus database. The analysis covers various aspects of the dataset, such as publication trends, citation patterns, keyword co-occurrence, bibliographic coupling, co-citation analysis, and collaborative networks among authors and countries. The goal is to gain a comprehensive understanding of the research landscape, including leading research areas, institutions, and countries contributing to the field. The study also explores thematic evolution and trends within the literature, providing insights into the development and current state of research on governance and corruption.

本研究聚焦于善治与腐败领域的相关研究分析,采用从Scopus数据库中提取的2537篇文献构建数据集。本次分析涵盖该数据集的多项核心分析维度,包括发表趋势、引用模式、关键词共现、文献耦合、共被引分析,以及作者与国家间的合作网络。本研究旨在全面把握该领域的研究格局,包括该领域的核心研究方向、贡献突出的科研机构与国家。此外,本研究还探讨了该领域文献的主题演化与发展趋势,以期为善治与腐败研究的发展历程与当前现状提供深入洞察。

创建时间:
2024-09-16
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