The research works are published by the researchers in various journals and conferences, which are made publically available by the publishers. Though such research is spread all over the world, there should be a distinct pattern for this, which suggest that different geographical areas observes distinct trend towards particular direction of research. In this paper, we have plotted a method to find the influential researcher for a particular input document. The proposed approach has series of steps to process out the influential researcher. Initially; we extract the reference from the text document which is given as input. The basic text extraction algorithms are utilized for the process. Later on the authors of those particular references are identified for further processing. Then, a clustering process is subjected for identifying the similar referral documents. The clustering processes in defined with a semantic similarity measure that will help to extract most similar documents and their information. This will enhance the clustering process. Finally, the queries regarding intended research is subjected and compared with the clusters and parameter score is extracted. Then we list the authors with higher parameter score. The relevant authors are selected based on the parameters score. A number of documents are selected for the experimentation process, in order to evaluate the efficiency of the proposed approach. The experimental analysis showed that the proposed approach is efficient processing the influential researcher.
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