Global and Turkish Research Trends in PM₁₀ Prediction Using Machine Learning: A Bibliometric Perspective

Authors : Duygu Odabaş Alver

Pages : 954-971

Doi:10.35229/jaes.1766267

View : 77 | Download : 299

Publication Date : 2025-11-30

Article Type : Research Paper

Abstract :Air pollution, particularly PM10 particulate matter, poses a major threat to public health and environmental sustainability on a global scale. This study conducts a bibliometric analysis of scientific publications from 2020 to 2025 that focus on PM10 and air pollution, with a specific emphasis on prediction approaches based on machine learning. A search conducted in the Web of Science database using the keywords “PM10” and “air pollution” in combination with “Estimation,” “Prediction,” “Forecasting,” or “Machine Learning,” and limited to the “topic” field and “article” document type, identified a total of 1,095 publications indexed in the SCI-EXPANDED and SSCI collections. Of these, only 32 were identified as studies based in Türkiye. According to the data, public health, atmospheric sciences, and environmental sciences accounted for the bulk of articles on a worldwide scale. Despite maintaining a certain level of publication volume, Türkiye was found to lag far behind in terms of citation impact and international collaboration, while China, the United States, India, and the United Kingdom stood out as leading nations in terms of both publication and citation counts. The keyword analysis reveals that concepts such as “air pollution”, “PM10”, “particulate matter”, and “machine learning” are prominently featured. In conclusion, although Türkiye\\\'s scientific output in this field has shown numerical growth, it still lags behind developed countries in terms of citation impact, global engagement, and research quality. This situation highlights the need for Türkiye to enhance international collaborations, produce high-impact publications, and focus on research that can support policy-makers.
Keywords : Bibliyometrik analiz, Hava kirliliği, Makine öğrenmesi, PM10, Türkiye.

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