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Predicting the Dynamics of Research Impact

Editors: Manolopoulos, Yannis, Vergoulis, Athanasios (Eds.)

  • Provides an introduction to prediction and science dynamics problems in the field of Science of Science
  • Details strength and weaknesses of the state-of-the-art approaches as well as open challenges for each problem
  • Written for researchers in various disciplines incl. information science, information retrieval, and machine learning
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Buy this book

eBook 117,69 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: October 29, 2021
  • ISBN 978-3-030-86668-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 145,59 €
price for Spain (gross)
  • Due: October 29, 2021
  • ISBN 978-3-030-86667-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book provides its readers with an introduction to interesting prediction and science dynamics problems in the field of Science of Science. Prediction focuses on the forecasting of future performance (or impact) of an entity, either a research article or a scientist, and also the prediction of future links in collaboration networks or identifying missing links in citation networks.

The single chapters are written in a way that help the reader gain a detailed technical understanding of the corresponding subjects, the strength and weaknesses of the state-of-the-art approaches for each described problem, and the currently open challenges. While chapter 1 provides a useful contribution in the theoretical foundations of the fields of scientometrics and science of science, chapters 2-4 turn the focal point to the study of factors that affect research impact and its dynamics. Chapters 5-7 then focus on article-level measures that quantify the current and future impact of scientific articles. Next, chapters 8-10 investigate subjects relevant to predicting the future impact of individual researchers. Finally, chapters 11-13 focus on science evolution and dynamics, leveraging heterogeneous and interconnected data, where the analysis of research topic trends and their evolution has always played a key role in impact prediction approaches and quantitative analyses in the field of bibliometrics. Each chapter can be read independently, since it includes a detailed description of the problem being investigated along with a thorough discussion and study of the respective state-of-the-art.

Due to the cross-disciplinary character of the Science of Science field, the book may be useful to interested readers from a variety of disciplines like information science, information retrieval, network science, informetrics, scientometrics, and machine learning, to name a few. The profiles of the readers may also be diverse ranging from researchers and professors in the respective fields to students and developers being curious about the covered subjects.

About the authors

Yannis Manolopoulos is a Professor and Vice-Rector at the Open University of Cyprus as well as a Professor Emeritus at Aristotle University of Thessaloniki, Greece. Through his research interests in Data Management, he contributed to scientometrics with a number of indices, such as, the contemporary h-index, the trend h-index, the perfectionism index and the fractal dimension of a citation curve.

Thanasis Vergoulis is a Scientific Associate at the Information Management Systems Institute of "Athena" Research Center. He has been involved in EU and national ICT projects related to big data, scientific data management, open science, and linked data. His research interests also span bioinformatics, text mining and information retrieval for scientific publications, scientometrics, and research analytics.

Buy this book

eBook 117,69 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: October 29, 2021
  • ISBN 978-3-030-86668-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 145,59 €
price for Spain (gross)
  • Due: October 29, 2021
  • ISBN 978-3-030-86667-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Predicting the Dynamics of Research Impact
Editors
  • Yannis Manolopoulos
  • Athanasios Vergoulis
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-86668-6
DOI
10.1007/978-3-030-86668-6
Hardcover ISBN
978-3-030-86667-9
Edition Number
1
Number of Pages
XX, 290
Number of Illustrations
14 b/w illustrations, 49 illustrations in colour
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