Jacsó, P. ( 2008c ), “ The pros and cons of computing the h‐index using Google Scholar ”, Online Information Review , Vol. 32 No. 3, pp. 437 ‐ 52 . [Abstract] , [] []The pros and cons of computing the h-index using Google Scholar - Jacso - 2008...
In the use of traditional library catalog and database searching,most users always expect these databases,Google and Google scholar have the same academic performance.But in fact,the difference between database search engine and traditional library is very large.In order to clarify the user understan...
Purpose ‐ The purpose of this paper is to review the software and content features of the Google Scholar Metrics (GSM) service launched in April 2012. Design/methodology/approach ‐ The paper reviews GSM, examining the software, browsing, searching and sorting functions, citation matching and con...
cited reference enhanced multidisciplinary databases and discussed and illustrated in general how the theoretically sound idea of the h-index may become distorted depending on the software and the content of the database(s) used, and the searchers' skill and knowledge of the database features. The...
Google Scholar is the largest database in the world of its kind, tracking citation information for almost 400 million academic papers and other scholarly literature. The2020 Google Scholar Metrics ranking, which is freely accessible online, tracks papers published between 2015 and...
来自 EBSCO 喜欢 0 阅读量: 58 作者: A Rhyno 摘要: Reports on the launch of the Google Scholar, an database software. Software features; Shortcomings of the software; Effects of the software on libraries. 被引量: 1 年份: 2005
A Python script that searches Google Scholar for specific keywords and visually presents the results in various chart formats, enabling researchers to analyze trends and insights in academic literature. pythonaiacademicdata-visualizationword-clouddata-analysisgoogle-scholarscholarlybibliometricsai-researchacademic...
The main objective of this chapter is to show how Google Scholar operates and how its core database may be used for bibliometric purposes. To do this, the general features of the search engine (in terms of document typologies, disciplines, and coverage) are analysed. Lastly, several ...
Google Scholar, Scopus, and the Web of Science, using a sample of 145 academics in five broad disciplinary areas: Life Sciences, Sciences, Engineering, ... Anne-Wil,Harzin,Satu,... - 《Scientometrics》 被引量: 33发表: 2016年 Managing database overlap in systematic reviews using Batch Citati...
This GitHub repository features a Jupyter Notebook designed for web scraping Google Scholar search results. It automates the extraction of key details about scholarly papers and compiles them into a CSV file. google-scholar-datagoogle-scholar-scrapergoogle-scholagoogle-scholar-s ...