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ORIGINAL RESEARCH article

Front. Res. Metr. Anal.
Sec. Patent Analytics
Volume 9 - 2024 | doi: 10.3389/frma.2024.1484685

Patent research in academic literature. Landscape and trends with a focus on patent analytics

Provisionally accepted
Cristian Mejia Cristian Mejia *Yuya Kajikawa Yuya Kajikawa
  • The University of Tokyo, Bunkyo, Japan

The final, formatted version of the article will be published soon.

    Patent analytics has emerged as a crucial tool for understanding innovation dynamics and technological trends. However, a comprehensive overview of this rapidly evolving field is lacking. This study presents a data-driven analysis of patent research, employing citation network analysis to categorize and examine research clusters. Here, we show that patent research is characterized by interconnected themes spanning fundamental patent systems, indicator development, methodological advancements, intellectual property management practices, and diverse applications. We reveal central research areas in patent strategies, technological impact, and patent citation research while identifying emerging focuses on environmental sustainability and corporate innovation. The integration of advanced analytical techniques, including AI and machine learning, is observed across various domains. This study provides insights for researchers and practitioners, highlighting opportunities for cross-disciplinary collaboration and future research directions.

    Keywords: Patent analytics, Bibliometrics, text mining, Tech Mining, Network analysis

    Received: 22 Aug 2024; Accepted: 18 Dec 2024.

    Copyright: © 2024 Mejia and Kajikawa. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Cristian Mejia, The University of Tokyo, Bunkyo, Japan

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.