D-Impact of the Various Strategies on the Author's Impact Score

Abstract

Abstract :Classic feature of any research analytics system is to be able to provide a metric based on the given research data given like the citation count and other kinds of data it is important to analyze the given data and give feedback and understand performance of a given research department, Scholar or the research, So we used a novel approach to rate given person based on the research work and comparing it with different works published in the same area, it is to be noted that the score/rating only focuses on the domain rather than rating the whole scholars work this way we can estimate the scholar's performance with respect to one domain which several other types of ratings fail to do so. This method will act advantageously especially in research organizations where appraisals and giving research grants are usually done based on scholar's previous work in a specific domain. We were able to formulate results for 62 different authors from 8 different domains, these domains and authors were picked randomly so as to efficiently understand the working of the methodology we followed four essential steps in this approach namely gathering dataset, applying Glicko- 2 ranking algorithm, finding average rating value for all works finally calculating d-impact score using GPA method on the scale of 9. We can conclude that the result is a both domain-specific and more accurate representation of the author's impact. In work we gave introduction regarding methodology and description of existing technologies in section 1, In section-2 we described the need of the proposed methodology with few sample results in existing methodology and proposed one, In section-4 we described the methodology in step by step manner and also presented proposed algorithm with all the required formulae, In section-5 we presented analysis and actual summary of the results, In section-6 we presented the conclusion. Keywords : Author impact, D-impact score, Elo rating, Glicko-2, Research analytics.