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Mapping the Intellectual Structure of the Field Neurological Disorders: A Bibliometric Analysis
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Author(s): S. Ravikumar (North-Eastern Hill University Shillong, India)
Copyright: 2019
Pages: 12
Source title:
Early Detection of Neurological Disorders Using Machine Learning Systems
Source Author(s)/Editor(s): Sudip Paul (North-Eastern Hill University Shillong, India), Pallab Bhattacharya (National Institute of Pharmaceutical Education and Research (NIPER) Ahmedabad, India)and Arindam Bit (National Institute of Technology Raipur, India)
DOI: 10.4018/978-1-5225-8567-1.ch001
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Abstract
The chapter utilizes bibliometric tools to explore papers in the field of neurological disorders and to examine the scientific development in the above subject domain. The research data were retrieved from the WOS database, which consists of 16,830 papers on the above phrase, but for the current study was limited to only those articles that have received more than four citations. Using this criterion, the data was narrowed to 10,694 as of 25/6/18. Using bibliometric tools, the author has identified the most productive authors, most productive countries, annual scientific production with an average growth rate of 4.82, and average article citations per year was 44.85. Network analysis was carried out to find co-citation network pattern, and with co-word analysis, found the conceptual structure of a field of neurological disorders.
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