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学术文献中的专利研究. 景观和趋势,重点是专利分析

Cristian Mejia¹, Yuya Kajikawa¹

¹Institute for Future Initiatives, The University of Tokyo, Tokyo, Japan.

Frontiers in research metrics and analytics

|January 23, 2025

概括

专利分析研究揭示了从基本系统到人工智能应用的相互联系的主题. 关键领域包括专利战略,技术影响,以及对可持续性和企业创新的新兴重点.

科学领域:

知识产权和创新管理知识产权和创新管理
数据科学和网络分析数据科学和网络分析

背景情况:

专利分析对于理解创新和技术趋势至关重要.
目前缺乏对快速发展的专利研究领域的全面概述.

研究的目的:

提供专利研究的数据驱动分析.
在专利分析中对研究集群进行分类和检查.
确定核心和新兴的研究主题和合作机会.

主要方法:

利用引用网络分析来进行数据驱动的研究分类.
采用网络分析来确定相互关联的研究集群和主题.
分析专利数据,绘制专利研究的格局.

主要成果:

确定了相互关联的主题,包括专利系统,指标开发,知识产权管理和应用.
揭示了专利战略,技术影响和引用研究的核心研究领域.
突出的新兴重点是环境可持续性和企业创新,并增加AI/ML集成.

结论:

专利研究是一个充满活力的领域,主题多样化且相互关联.
像人工智能和机器学习这样的先进分析技术越来越多地被整合在一起.
该研究为研究人员和从业人员提供了见解,促进了跨学科的合作.

关键词:

文献计量仪表 (bibliometrics) 是一个参考资料.网络分析网络分析专利分析专利分析技术采矿技术采矿文本采矿文本采矿是什么

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