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Abstract AI Applications has led to changes in social as well as economic structure of the world and caused worldwide policy changes. AI research and applications have not only increased in volume but has also expanded across various disciplines. Newer themes of research have emerged while attention on several topics has gradually faded. Therefore, there is a need to analyse and understand the patterns of growth and thematic evolution of AI research during the last decade. Motivated by the need, Bibliometric methodologies of Bradford’s law and Path analysis are employed to develop a framework for a detailed analysis. Publication and citation data of AI for the period 2010 to 2020 obtained from Web of Science when analysed using this framework, showed an exponential growth between 2016 and 2020. An increased adoption of AI in novel domains is indicated by an increase in both concentration and dispersion of the literature. Through the analysis of evolutionary trajectories contributing to growth of AI, it was observed that applications of AI are becoming common in previously unrelated areas such as water resource management, environment management, building technology, healthcare etc. These are areas which directly relate with sustainable development and the researchers have used multiple single as well as hybrid AI tools to address their problems. The article presents useful insight along these lines which can be useful for practitioners in the field of AI.
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Stored only when both papers are in the corpus — 11 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.