A Comprehensive Study on the Scientific Landscape of Linear Regression
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This study presents a bibliometric analysis of research trends in linear regression using data retrieved from the Scopus database. The search query included the keywords linear and regression in the title, abstract, or keywords, and filtered results to final-stage journal articles written in English, categorized under the exact keyword Article, affiliated with institutions in the United Kingdom, and published between 2022 and 2025. The analysis, conducted using VOS viewer and Scopus visualization tools, reveals fluctuations in publication counts, with a notable decline in 2025. Leading journals such as PLOS ONE, BMJ Open, and International Journal of Environmental Research and Public Health contribute significantly to the field. At the same time, University College London (UCL) and the University of Oxford emerge as the most influential institutions. Co-authorship and co-citation analyses indicate strong collaborative networks, particularly in medical and epidemiological research. Additionally, funding bodies like the National Institute for Health and Care Research (NIHR) and UK Research and Innovation play crucial roles in supporting these studies. Despite the widespread applications of linear regression across various disciplines, gaps remain in its methodological advancements, particularly in handling high-dimensional data, non- linearity, and real-time decision-making applications. This study highlights the need for future research to explore more adaptive and robust regression models that integrate machine learning techniques and dynamic real-world scenarios.
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