Automatic Reviewers Assignment to a Research Paper Based on Allied References and Publications Weight

Everyday there may be a vast stream of research documents give in to conferences, anthologies, journals, newsletters, annual report, daily paper, and different periodicals. Numerous such publications use unbiased and exterior specialists to survey. This methodology is frequently termed peer review, in addition the assessors are named referees. but it is not always possible to pick out the best referee for reviewing. Moreover, the new fields of research are emerging in every sector and the number of research is increasing dramatically. but, to review all of these papers, every journal assign a short team of referees and maybe they are not expert in all areas. For example, a research paper in the communication technology area should be reviewed by the expert from the same field. So, it is a big challenge to efficiently select the best reviewer or referee for a research paper. In this research work, we proposed and implemented a program or software where, we used a new strategy to select the best reviewers of a research work automatically. As we already know that every research paper contains references in the end of the paper and the references are generally from same area as the paper is. In this work, first of all, we collect the references and count the authors who have at least one paper that belong to the reference section. Once, we collect the authors name, automatically browse the web to extract the research topic keywords. Then again search for finding top researchers in the specific topic field and count their h-index, i10-index and citations for first n author. After then, ranked top n authors based on ranking score and automatically browse their homepage to retrieve emails address. We also check their co-authors and colleagues from the web and discard them accordingly from the list. The remaining tops n authors (researcher) generally professor and maybe the best referees for reviewing a research paper.