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With the growing emphasis on metrics such as citation count and h-index for research assessment, several reports of gaming and cartel-like formations for boosting citation statistics have emerged. However, such cartels are extremely difficult to detect. This paper presents a systematic approach to visualizing and computing clique and other anomalous patterns through ego-centric citation network analysis by drilling down into the details of individual researcher's citations. After grouping thedoi:10.5281/zenodo.4066335 fatcat:vtowg2eaifbnle5tecmbcxciwa