Abstract
The present study provides a quantitative and qualitative description of global machine translation research published during 2007-16 and as indexed in Scopus database. The study profiles research in the field on a series of measures, such as publications growth rate, global share, citation impact, share of international collaborative papers and distribution of publications by sub-areas. The study also profiles top contributing countries, organisations and authors in machine translation research on a series of bibliometric indicators. The study further reports characteristics of highly cited papers in the field.
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Gupta, B. M., & Dhawan, S. M. (2019). Machine translation research: A scientometric assessment of global publications output during 2007-16. DESIDOC Journal of Library and Information Technology, 39(1), 31–38. https://doi.org/10.14429/djlit.39.1.13558
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