Advancing the Art of Literature Review Visualization: A Journey Towards Enhanced Clarity and Insight

Authors

  • Mohammad Akif Department of Computer Science, City University of Science and Technology, Peshawar 25000, Pakistan
  • Daud Khan Department of Computer Science, Iqra National University, Peshawar 25100, Pakistan
  • Waqas Ahmad Department of Computer Science, Iqra National University, Peshawar 25100, Pakistan
  • Muhammad Idrees Department of Computer Science, City University of Science and Technology, Peshawar 25000, Pakistan
  • Shahab Ul Islam Department of Engineering, Parthenope University of Naples, Naples 80138, Italy

Keywords:

Systematic Literature Review, Mobile-based Application, Image Processing, Visualization

Abstract

The Systematic Literature Review (SLR) is a type of academic paper, especially written on a specific research area. The SLR is the most important paper for researchers to get knowledge of certain area for further investigation. In SLR researchers normally dig and find the area of interest. The time and effort to collect, write, and report the statistics or figures found during this process is a cumbersome job. The same case is with the reader for reading and understanding other Scientific Literature Reviews (SLRs). It takes too much time to understand and read the SLR and conceptualize the statistics, figures, and other related numerals presentations. In the modern era of computing, researchers and ordinary readers want to visualize the literature in short, concrete, and meaningful ways. In this connection, this study attempts to visualize the literature in a specific domain, based on keywords and profile information. For this purpose, a mobile-based application is designed in this study to scrapes the data of a specific area based on a keyword. The user needs to give a keyword about any research area, i.e., Image Processing, etc. The application then scrapes all the parameter data from Google Scholar in a short time, and then some important items (based on keywords supplied) are visualized in graphs, charts, and numbers. Moreover, the scrapped data is downloadable in an Excel file for further analysis. The application may help scholars, researchers, and academicians to find and visualize the literature reviews more easily and efficiently.

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Published

2024-09-09