Abstract
The purpose of this study is to analyze the impact a Research Paper has on other Research Papers which cite it. It can be used by students and researchers to understand a domain and the reach of their work. The method of studying the relevance by reading all citing documents is time-consuming. RePI provides a web-based tool to visualize the key aspects of a paper. It makes use of NLP to extract keywords and APIs to analyze metadata such as the number of cited papers, influential citation count, year of publication, etc. This data can be obtained by a unique identifier for the Research Paper such as a DOI number, etc. RePI also introduces the concept of Impact Metric Ratio which quantifies the Paper’s relevance. It is extrapolated using the influential citation count and makes it easy to compare the papers efficiently. Current methodologies provide techniques to measure journal impact very well, but Research Paper Impact Analysis has scope for further research.
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Uppal, A., Maitreyi, P., Mamatha, H.R., Jamuna (2023). RePI: Research Paper Impact Analysis. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-031-27440-4_20
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