International Journal of Advanced and Applied Sciences, 4(6) 2017, Pages: 148-152 Contents lists available at Science-Gate International Journal of Advanced and Applied Sciences Journal homepage: http://www.science-gate.com/IJAAS.html 148 Finding the top conferences using novel ranking algorithm Muhammad Farooq 1 , Hikmat Ullah Khan 2, *, Ajmal Shahzad 3 , Saqib Iqbal 4 , Abubakker Usman Akram 2 1 Department of Computer Science, Government College, Rehmatabad, Rawalpindi, Pakistan 2 Department of Computer Science, COMSATS Institute of Information Technology, Wah, Pakistan 3 Department of Computer Science, Centre for Advanced Studies in Engineering (CASE), Islamabad, Pakistan 4 Department of Software Engineering and Computer Science, College of Engineering and Information Technology, Al Ain University of Science and Technology, Al Ain, United Arab Emirates ARTICLE INFO ABSTRACT Article history: Received 4 March 2017 Received in revised form 18 May 2017 Accepted 25 May 2017 An analysis of an academic network reveals interesting insights into the prevailing research domains. The scientometrics analysis of an academic network mainly focuses to find the top authors and top journals using Bibliometircs. There are few work identify the top conferences to help the scholars to know about the current trends in computer science and helps them to participate in the conferences to extend their interactions with other researchers. In this paper, we aim to find the top conferences in the computer science research domain. We present a novel algorithm, ConferencRank by adapting the state of the art Pagerank algorithm to rank the conferences. We use the various features as weights to rank the conferences as well. The proposed algorithm has been applied on a very large data set of the DBLP and the results confirm that the proposed algorithm is helpful to find the top conferences and ranks the conferences in a proper manner. As a future work, we will like to extend this work by finding topic- sensitive ranking of the conferences. Keywords: Semantic cache Framework XML © 2017 The Authors. Published by IASE. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). 1. Introduction *The scientometrics is the research domain of analysis and measure to find the impact of the prevailing science and technologies. The recent trends in scientometrics have used algorithms to dig into the ever increasing data of the scholarly network. The number of journals, conferences and other academic events has increased tremendously over the last few decades. With the increase in volume of the research field, the debates emerge about the quality of the research work. So, in addition to the publication count, the concept of citation analysis has emerged. Citation analysis is considered as the measure of quality by counting the number of other works which have cited a research publication, and indirectly in this way, we measure the impact or quality of the authors. This prompted the use of self-citing the research work in which the authors tried to cite their own work to enhance their citation score. Then, the concept of the use of the index was introduced. The first index, h-index * Corresponding Author. Email Address: Hikmat.Ullah@ciitwah.edu.pk (H. U. Khan) https://doi.org/10.21833/ijaas.2017.06.021 2313-626X/© 2017 The Authors. Published by IASE. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) (Alonso et al., 2009; Mingers, 2009), was introduced that is still regarded as a good metric to measure the quantity as well as the quality of an author’s work. Then, a number of indices (Alonso et al., 2009; Alonso et al., 2010; Jin et al., 2007) were introduced which addresses the various aspects, but mainly the goal of all the indices is same, that is, to measure an author’s impact in the research community. The importance of the journal and conferences where authors publish their work attained the focus of the scientometrics experts. Then, in addition to finding the citation analysis of the author, the citation analysis of the journal in which the research paper published has also been considered to find the impact of research works and their authors indirectly. Then, the idea of impact factor (Amin and Mabe, 2003) also introduced which is still regarded as the best indicator of the quality of a paper. The impact factor is measured by calculating the ratio of the publication count of a journal by the citation count in a calendar year. The comparison of impact factors of two journals from different domains still raises questions (Bollen and Sompel, 2008) but within a domain, the impact factor is still being used as an important and perhaps the most important metric to find the significance of a journal. Now let us shift our focus to the conferences is interesting. The conferences are usually neither