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Measuring and Visualizing Research Collaboration and Productivity Cover

Measuring and Visualizing Research Collaboration and Productivity

Journal of Data and Information Science
Volume 3 (2018): Issue 1 (February 2018)
By: Jon Garner,  Alan L. Porter,  Andreas Leidolf and  Michelle Baker  
Open Access
|Mar 2018

Authors

Jon Garner

Search Technology, Inc., Norcross, USA

Alan L. Porter

alan.porter@isye.gatech.edu

School of Public Policy, Georgia Institute of Technology, Atlanta, USA

Andreas Leidolf

Ecology Center, Utah State University, Logan, USA

Michelle Baker

Ecology Center, Utah State University, Logan, USA
Department of Biology, Utah State University, Logan, USA
DOI: https://doi.org/10.2478/jdis-2018-0004 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 54 - 81
Submitted on: May 20, 2017
Accepted on: Jul 21, 2017
Published on: Mar 13, 2018
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Bibliometrics,
Interdisciplinarity,
Multidisciplinarity,
Research evaluation,
Research collaboration mapping,
Science visualization,
Scientometrics,
Social network analysis
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2018 Jon Garner, Alan L. Porter, Andreas Leidolf, Michelle Baker, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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