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Abstract

This paper provides an analysis of H-index and paper citations in the computer science field using K-Means Clustering Algorithm. By leveraging cutting edge visual analytics through the use of Power BI and Orange Data MiningtoolwithK-Means clustering algorithm, we are able to present a comprehensive review of how H-index and citations impact the scholarlyevaluation of authors in computer science field. The analysisobtained will assist academics seeking to expand their research influence while providing additional context to the general audience seekingto understand how machine learning algorithms can contribute to data exploration.The analysis conducted has revealed that area of research which has the highest value of citation and H-index include the following topics: Artificial-Intelligence, Computational-Intelligence, Data-mining, Evolutionary-Algorithms, and BigData Analytics. Finally, the analysisof this researchclearly demonstratedthat paper citations remain an important factor for determining scientific impact in disciplines such as computer science given its close relationship with established metrics such as h-index scores.

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