Materials Science: An Indian Journal
ISSN (PRINT): 0974-7486

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Machine Impact Factor

 AI is a worldwide discussion for research on computational ways to deal with learning. The diary distributes articles announcing meaningful outcomes on a wide scope of learning techniques applied to an assortment of learning issues. The diary highlights papers that depict research on issues and strategies, applications examination, and issues of exploration strategy. Papers causing claims about learning issues or strategies to offer strong help by means of experimental investigations, hypothetical examination, or correlation with mental wonders. Applications papers tell the best way to apply learning strategies to take care of significant applications issues. The effect factor of diary gives quantitative appraisal device to reviewing, assessing, arranging and looking at diaries of comparable kind. It mirrors the normal number of references to ongoing articles distributed in science and sociology diaries in a specific year or period, and is regularly utilized as an intermediary for the overall significance of a diary inside its field. It is first conceived by Eugene Garfield, the organizer of the Institute for Scientific Information. The effect factor of a diary is assessed by partitioning the quantity of current year references to the source things distributed in that diary during the past two years.  

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Google Scholar citation report
Citations : 468

Materials Science: An Indian Journal received 468 citations as per Google Scholar report

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