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Janne Pölönen

Master’s degrees awarded to foreign nationals 1 Student mobility to and from Finland 2 Research 33 PhD degrees 9 Scientific publications 13 International teaching and research staff 2 Competed research funding 9 Other education and science policy objectives 28 Strategic development 12 Field-specific funding 9 National duties 7 2 Organization of (re)design, implementation and operations Development of a publication-based indicator for measuring research performance was discussed and planned

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Xiaojun Hu and Ronald Rousseau

.0 8.0 2005 18.8 9.868 17.2 11.2 9.6 6.8 10.0 5.2 Mean 17.15 12.085 16.975 13.713 8.963 4.663 10 6.75 Rank 1 4 2 3 6 8 5 7 4.4.3 Correlations between S h and SS h and a Firm’s Profits Table 5 shows the rank correlations between yearly S h ( Y ) and yearly SS h ( Y ) and firms’ profits for the eight pharmaceutical companies under study. The S h and SS h values refer to the years 1990–2005, and firms’ profits refer to the period, 2006–2010. The Spearman rank correlation

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Chaomei Chen

Bibliometric studies of social work in health 11 48 0.965 1994 2006 13 2000 Inactive Bibliometric studies of management research 12 44 0.966 1990 1999 10 1996 Inactive Graph visualization 16 29 0.977 1999 2007 9 2003 Inactive Bibliometric studies of information systems 28 15 0.995 2004 2013 10 2008 Inactive Global trend; Water resources 4.3 Major Specialties In the following discussion, we will particularly focus on the five largest clusters ( Table 1 ). A research

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Technology-relevant Research Anthony F.J. van Raan   2017,2(1),13–50 Science Mapping: A Systematic Review of the Literature Chaomei Chen   2017,2(2),1–40 Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and Metadata Jane Greenberg   2017,2(3),19–36 Rediscovering Don Swanson: The Past, Present and Future of Literature-based Discovery Neil R. Smalheiser   2017,2(4),43–64 Research Papers Functions of Uni- and Multi-citations: Implications for Weighted Citation Analysis Dangzhi Zhao, Alicia Cappello

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Jose A. Moral-Munoz, Manuel Arroyo-Morales, Barbara F. Piper, Antonio I. Cuesta-Vargas, Lourdes Díaz-Rodríguez, William C.S. Cho, Enrique Herrera-Viedma and Manuel J. Cobo

cooperative study among tools Journal of the Association for Information Science and Technology 62 7 1382 1402 Cobo, M.J., Martinez, M.A., Gutierrez-Salcedo, M., Fujita, H., & Herrera-Viedma, E. (2015). 25 years at knowledge-based systems: A bibliometric analysis. Knowledge-Based Systems, 80, 3–13. 10.1016/j.knosys.2014.12.035 Cobo M.J. Martinez M.A. Gutierrez-Salcedo M. Fujita H. Herrera-Viedma E. 2015 25 years at knowledge-based systems: A bibliometric analysis Knowledge-Based Systems 80 3 13 Coulter, N., Monarch, I., & Konda, S. (1998). Software engineering as seen

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Jon Garner, Alan L. Porter, Andreas Leidolf and Michelle Baker

institution and discipline Figures 5 and 6 also color code the five disciplinary groupings within iUTAH. Focusing for a moment just on the USU and UU researchers: Of 20 USU faculty in our sample, most show multiple links to other researchers; only two show no collaborations with iUTAH colleagues on their publications in the After period. Of 13 UU faculty, about half show multiple links; only two do not show any collaborations with other iUTAH colleagues in the After period. We see heavy interconnections between ‘core’ researchers in UU and USU in the

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Jielan Ding, Per Ahlgren, Liying Yang and Ting Yue

.7 36.1 69.9 9 10 9 Brazil 8.8 9.4 13.1 19 18 24 India 6.0 6.3 12.2 25 21 25 Russia 7.3 3.4 7.2 21 28 30 South Africa 4.3 5.5 5.2 30 23 32 In the bibliographic records of WoS, the document type of each publication is recorded. Based on this information, we calculated, for a given journal, a given document type and a given year the number of publications for the combination. In order to map the document type profile for each of the three journals across time, the raw numbers were

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Ronald Rousseau

) = a > 0, then C ( n ) = a ∗ n and the recognition line has equation y ( n ) = a ∗ n . Clearly, also here DR ( T ) = 0, agreeing with the fact that there is no delayed recognition. If citations grow linearly in time, then c ( n ) = b ∗ n ( b > 0), C ( n ) = b ∗ n ( n +1)/2 and C ( T ) = b ∗ T ( T +1)/2 and hence y ( n ) = b ( T + 1 ) 2 n . $\begin{array}{} \displaystyle \frac{b(T+1)}{2}n. \end{array}$ Consequently, DR ( T ) = 1/3 (The calculation is included in the appendix). This result is different from the one obtained by using Ke et al

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Chunqiu Li and Shigeo Sugimoto

1 Introduction Maintaining the accessibility of collections for future generations is a central mission of libraries and other memory institutions. Metadata longevity should be ensured to keep the long-term accessibility of data collections. However, we are facing the difficulties in metadata longevity, such as the consistent maintenance of metadata, maintenance of metadata vocabularies and metadata terms, structural and syntactic features of metadata, metadata description rules, and so forth. This paper focuses on consistent maintenance of metadata

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Miguel Baptista Nunes

Introduction Big data is one of the most fashionable, yet most misused and misunderstood terms being circulated in policy making, academia, industry, business, and above all the media ( Hartford, 2014 ). In China like almost everywhere else, the concept is of fundamental importance to national policies and has generated a huge hype, with all types of big data applications being adopted at organizational, city, regional, and national levels. Universities, research groups, and individual academics in all disciplines also have readily seized this golden