Citation analysis of Google Scholar and Scopus

• Main Author: Yip, Kayden Pui Tung
• Other Authors: School of Computer Engineering
• Format: Final Year Project
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
• Online Access: http://hdl.handle.net/10356/59101
• Institution: Nanyang Technological University

Computer scientists view believably reliable publication databases such as Scopus and Web of Science (WoS) as a disadvantage as both of them contained erroneous citation records. This report describes how the project created an application to extract data and compare citation count from Google Scholar and Scopus so show the error rate. The project uses several approaches and techniques to face the difficulties and problems in the process of database access and data extraction before populating the local database. Following this report allows exposure on how to request the desirable data from server and how to extract the correct data.