Kumar Shubhankar

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In this paper we propose an efficient method to rank the research papers from various fields of research published in various conferences over the years. This ranking method is based on citation network. The importance of a research paper is captured well by the peer vote, which in this case is the research paper being cited in other research papers. Using(More)
In this paper we introduce a novel and efficient approach to detect and rank topics in a large corpus of research papers. With rapidly growing size of academic literature, the problem of topic detection and topic ranking has become a challenging task. We present a unique approach that uses closed frequent keyword-set to form topics. We devise a modified(More)
CERTIFICATE It is certified that the work contained in this thesis, titled Topic-centric Recommender Systems for Bib-liographic Datasets by Aditya Pratap Singh, has been carried out under my supervision and is not submitted elsewhere for a degree. Acknowledgments First and foremost, I would like to express my deep-felt gratitude towards my thesis adviser,(More)
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