Description
Book SynopsisThe growth of machines and users of the Internet has led to the proliferation of all sorts of data concerning individuals, institutions, companies, governments, universities, and all kinds of known objects and events happening everywhere in daily life. Scientific knowledge is not an exception to the data boom. The phenomenon of data growth in science pushes forth as the number of scientific papers published doubles every 915 years, and the need for methods and tools to understand what is reported in scientific literature becomes evident.
As the number of academicians and innovators swells, so do the number of publications of all types, yielding outlets of documents and depots of authors and institutions that need to be found in Bibliometric databases. These databases are dug into and treated to hand over metrics of research performance by means of Scientometrics that analyze the toil of individuals, institutions, journals, countries, and even regions of the world.
The
Table of Contents
Data Analytics and Scientometrics: Concepts, Methods, Synergies. The Growth of Scientific Knowledge. Scientometrics: Fundamentals and Applications. The Thomson Reuters Web of Science Database. The Elsevier SCOPUS Database. The Google Scholar Database. Institutional Repositories. The Academic Ranking of World Universities. The QS World University Ranking. The TIMES Higher Education World University Ranking. The US News Best Global University Rankings. Knowledge distribution through Web Domains: The Webometrics Ranking. The Image of Science: The SCIMAGO Ranking. Data Analytics and Scientometrics: Lessons Learned and Prospective Analysis.
