Collective citation analysis using Google Scholar

• Main Author: Chemburkar, Nishant
• Other Authors: He Bingsheng
• Format: Final Year Project
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/62852
• Institution: Nanyang Technological University

Citation analysis has historically been a metric for evaluation of a scientist or researcher’s academic contribution. There are reputed sources such as Google Scholar and Scopus which provide citation statistics for researchers which are further used to develop an unbiased score or view of their work. There is, however, a need for a system which is able to calculate and present academic metrics for a group of scientists or researchers on the basis of their academic contribution. This report presents a solutions which has been developed to achieve the same. The system developed retrieves and calculates collective metrics for a group of researchers and is also able to store relationships between researchers, departments and universities, which allow the user to view and calculate metrics on the basis of locations, institutions, departments and sub departments. The system sources its raw data from Google Scholar and calculates additional metrics based on the citations retrieved. It generates popular metrics such has h-index, g-index, i-10 index and also presents experimental metrics such as collective h-index and g-index. It also provides additional statistics such as the averages and the leaderboards for that group of authors. This report uses a group of departments from Nanyang Technological University, Singapore to present the results of the application. In particular, the raw data from professors from School of Computer Engineering, was used to calculate the collective statistics and preserve the sub-department relations. The system has been developed to provide both a command line and a graphical user interface for a user to interact with the system. The author has recommended a future implementation of the system, which is able to fetch data regarding the researcher-institute-location information intelligently and proceed to calculate the collective citation analysis.