An efficient algorithm for ranking research papers based on citation network

Singh, Aditya; Shubhankar, Kumar; Pudi, Vikram

doi:10.1109/dmo.2011.5976510

Cited by 30 publications

(20 citation statements)

References 6 publications

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“…On the other hand, Aditya Pratap Singh et al [1] have introduced the timing factor in the PageRank algorithm [13] to reduce the bias against more recent publications which have less time than the older publications to get cited. To make the algorithm time-independent, the metric Aditya Pratap Singh et al [1] proposed to use is the average of the total number of citations of the publications published in each year. We have also modified the formula for calculation of the PageRank of a publication P, to make the algorithm time-independent in this way.…”

Section: ) Generating Publication Scoresmentioning

confidence: 99%

“…We had to work with data that we have access to, which generally are the citation data and the PC/Editorial Board data which may be not easy to get directly through sources such as Google Scholar 1 Our approach used data from two primary sources: DBLP and EventSeer.net. These data sources offer different data services: from DBLP we got XML records, while data from EventSeer.net can only be extracted from its website using a HTML parser.…”

Section: A Datasetsmentioning

confidence: 99%

“…We built the citation network defined as a directed graph, with each publication representing a vertex and the citations representing the edges in the graph; the edges being directed ones, directed from the citing vertex to the cited vertex [1]. Each vertex has several attributes, including publication title, conference/journal of publication, year of publication, author(s) and a unique key from the DBLP dataset.…”

Section: B Citation Network Constructionmentioning

confidence: 99%

“…These publication venues play an important role in the scholarly communication process and the visibility that their work receives. Often researchers might be concerned in knowing about the most important publication venues for publishing their research [1]. However, the selection of publication venues is usually based on the researcher's existing knowledge of the field of his/her discipline [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…Most of the existing methods to measure the reputation of publication venues use citation count as their chief metric [1]. For journals, among existing methods the most popular citation analysis method is Garfield's Impact Factor (IF) which itself is based on citation counts [5].…”

Section: Introductionmentioning

confidence: 99%

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Improving citation network scoring by incorporating author and program committee reputation

Peiris¹,

Weerasinghe

2016

Int J on Adv. in ICT for Emerging Countries

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Abstract-Publication venues play an important role in the scholarly communication process. The number of publication venues has been increasing yearly, making it difficult for researchers to determine the most suitable venue for their publication. Most existing methods use citation count as the metric to measure the reputation of publication venues. However, this does not take into account the quality of citations. Therefore, it is vital to have a publication venue quality estimation mechanism. The ultimate goal of this research project is to develop a novel approach for ranking publication venues by considering publication history. The main aim of this research work is to propose a mechanism to identify the key Computer Science journals and conferences from various fields of research. Our approach is completely based on the citation network represented by publications. A modified version of the PageRank algorithm is used to compute the ranking scores for each publication. In our publication ranking method, there are many aspects that contribute to the importance of a publication, including the number of citations, the rating of the citing publications, the time metric and the authors' reputation. Known publication venue scores have been formulated by using the scores of the publications. New publication venue ranking is taken care by the scores of Program Committee members which derive from their ranking scores as authors. Experimental results show that our publication ranking method reduces the bias against more recent publications, while also providing a more accurate way to determine publication quality.

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Section: ) Generating Publication Scoresmentioning

confidence: 99%

Section: A Datasetsmentioning

confidence: 99%

Section: B Citation Network Constructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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