The evaluation of scientific performance of an individual author in the research community is based on total number of articles published, citation count, average citation count, h-index, etc. But generally research work is done by the group of researchers and the performance of individual may depends on the neighbors’ researchers. So the evaluation of scientific impact of an individual will carry based on their immediate neighbors. In this paper, we form a 1 degree and 1.5 degree egocentric network of every node and convey the degree centrality, closeness centrality, and density to estimate the scientific efficacy of an individual. Finally, compare the results of all those types of network and found that the 1.5 degree egocentric networks are useful to appraise the performance of researchers. © Springer Nature Singapore Pte Ltd. 2017.