Science Dynamics and Research Production

Indicators, Indexes, Statistical Laws and Mathematical Models

Nonfiction, Science & Nature, Mathematics, Statistics, Reference & Language, Language Arts, Writing & Publishing, Publishing
Cover of the book Science Dynamics and Research Production by Nikolay K. Vitanov, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Nikolay K. Vitanov ISBN: 9783319416311
Publisher: Springer International Publishing Publication: August 1, 2016
Imprint: Springer Language: English
Author: Nikolay K. Vitanov
ISBN: 9783319416311
Publisher: Springer International Publishing
Publication: August 1, 2016
Imprint: Springer
Language: English

This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions  of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations). Part three contains discussions of non-Gaussian laws connected to scientific productivity and presents various deterministic and stochastic models of science dynamics and research productivity. The book shows that many famous fat tail distributions as well as many deterministic and stochastic models and processes, which are  well known from physics, theory of extreme events or population dynamics, occur also in the description of dynamics of scientific systems and in the description of the characteristics of research productivity. This is not a surprise as scientific systems are nonlinear, open and dissipative.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions  of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations). Part three contains discussions of non-Gaussian laws connected to scientific productivity and presents various deterministic and stochastic models of science dynamics and research productivity. The book shows that many famous fat tail distributions as well as many deterministic and stochastic models and processes, which are  well known from physics, theory of extreme events or population dynamics, occur also in the description of dynamics of scientific systems and in the description of the characteristics of research productivity. This is not a surprise as scientific systems are nonlinear, open and dissipative.

More books from Springer International Publishing

Cover of the book Is Local Beautiful? by Nikolay K. Vitanov
Cover of the book Groundwater and Global Change in the Western Mediterranean Area by Nikolay K. Vitanov
Cover of the book Dynamics of Underactuated Multibody Systems by Nikolay K. Vitanov
Cover of the book Nile River Basin by Nikolay K. Vitanov
Cover of the book Computational Metrics for Soccer Analysis by Nikolay K. Vitanov
Cover of the book Advances in Network-Based Information Systems by Nikolay K. Vitanov
Cover of the book Arthur's Invariant Trace Formula and Comparison of Inner Forms by Nikolay K. Vitanov
Cover of the book Excel 2010 for Physical Sciences Statistics by Nikolay K. Vitanov
Cover of the book Interdisciplinary Concepts in Cardiovascular Health by Nikolay K. Vitanov
Cover of the book Negotiating Reconciliation in Peacemaking by Nikolay K. Vitanov
Cover of the book Trends in Functional Programming by Nikolay K. Vitanov
Cover of the book Atlas of Implant Dentistry and Tooth-Preserving Surgery by Nikolay K. Vitanov
Cover of the book Electronic Government by Nikolay K. Vitanov
Cover of the book Chaos, Complexity and Leadership 2017 by Nikolay K. Vitanov
Cover of the book How the Chinese Economy Works by Nikolay K. Vitanov
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy