Performing a bibliometric analysis to investigate the knowledge landscape of agricultural mechanisation: a comprehensive examination of performance and scientific mapping

Vikash Kumar, Sunil Kumar and Adil Khan

International Journal of Technological Learning, Innovation and Development, 2025, vol. 16, issue 1, 50-75

Abstract: This research employs bibliometric techniques to map the trends and the characteristics in the research domain of agricultural mechanisation. The study strives to comprehensively overview research work as well as to find the evolutionary direction of research in the area of agricultural mechanisation. Through a systematic screening process, a total of 516 scholarly journal articles related to agricultural mechanisation were identified within the Web of Science database tools. Vivid visuals and graphics have been created and described using multiple analyses tools such as VOSviewer and Biblioshiny package of R. Various perspectives have been discussed and debated on various bibliometric criteria such as co-authorship connections among affiliated countries and author keywords resulting from co-occurring references. This research identifies key journal articles, authors, countries, and collaborative networks within the field of agricultural mechanisation. Additionally, it conducts analytical exploration by identifying and discussing significant established and emerging research themes.

Keywords: mechanisation; agriculture mechanisation; farm; bibliometric; technology adoption. (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijtlid:v:16:y:2025:i:1:p:50-75

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