Literature survey of scientific articles depends on the relevancy and the quality of the obtained list. Relevancy might be controlled by an appropriate search query and the relevancy ranking of the search result. Citation count (CC) is widely used and useful as an easy measure to evaluate the quality of articles. However, articles with high citation count might cover a wide area, while they might have the low relation to a query. Moreover, relevancy and citation count are two independent measures that we cannot choose at the same time. The present paper proposes 'Focused Citation Count(FCC)', a novel measure that focuses only on the relevant articles to count the citation. We realize the integration of relevancy and quality by restricting the articles that cite the target article. Empirical evaluation was conducted with 10,186 articles on 'bibliometrics' by P@N measure, the average precision at top N search result. It is confirmed that the ranking by the proposed method FCC gained over 0.8 and outperformed the conventional ranking by CC whose score was below 0.6.