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Infrastructure of Scientometrics:The Big and Network Picture

Published on Dec 27, 2019in Journal of Data and Information Science
· DOI :10.2478/jdis-2019-0017
Jinshan Wu11
Estimated H-index: 11
(BNU: Beijing Normal University)
Abstract
  • References (12)
  • Citations (0)
References12
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#1Ludo Waltman (LEI: Leiden University)H-Index: 39
Citation impact indicators nowadays play an important role in research evaluation, and consequently these indicators have received a lot of attention in the bibliometric and scientometric literature. This paper provides an in-depth review of the literature on citation impact indicators. First, an overview is given of the literature on bibliographic databases that can be used to calculate citation impact indicators (Web of Science, Scopus, and Google Scholar). Next, selected topics in the literat...
226 CitationsSource
#1Zhesi Shen (BNU: Beijing Normal University)H-Index: 8
#2Liying Yang (CAS: Chinese Academy of Sciences)H-Index: 7
Last. Jinshan Wu (BNU: Beijing Normal University)H-Index: 11
view all 10 authors...
In this paper, we try to answer two questions about any given scientific discipline: first, how important is each subfield and second, how does a specific subfield influence other subfields? We modify the well-known open-system Leontief Input–Output Analysis in economics into a closed-system analysis focusing on eigenvalues and eigenvectors and the effects of removing one subfield. We apply this method to the subfields of physics. This analysis has yielded some promising results for identifying ...
10 CitationsSource
#1John Mingers (UKC: University of Kent)H-Index: 51
#2Loet Leydesdorff (UvA: University of Amsterdam)H-Index: 83
Scientometrics is the study of the quantitative aspects of the process of science as a communication system. It is centrally, but not only, concerned with the analysis of citations in the academic literature. In recent years it has come to play a major role in the measurement and evaluation of research performance. In this review we consider: the historical development of scientometrics, sources of citation data, citation metrics and the “laws” of scientometrics, normalisation, journal impact fa...
136 CitationsSource
#1Tehmina Amjad (IIUI: International Islamic University, Islamabad)H-Index: 8
#2Ying Ding (IU: Indiana University Bloomington)H-Index: 39
Last. Vincent Malic (IU: Indiana University Bloomington)H-Index: 2
view all 5 authors...
Topic-based ranking of authors, papers and journals can serve as a vital tool for identifying authorities of a given topic within a particular domain. Existing methods that measure topic-based scholarly output are limited to homogeneous networks. This study proposes a new informative metric called Topic-based Heterogeneous Rank (TH Rank) which measures the impact of a scholarly entity with respect to a given topic in a heterogeneous scholarly network containing authors, papers and journals. TH R...
22 CitationsSource
#1Ludo Waltman (LEI: Leiden University)H-Index: 39
#2Nees Jan van Eck (LEI: Leiden University)H-Index: 34
Classifying journals or publications into research areas is an essential element of many bibliometric analyses. Classification usually takes place at the level of journals, where the Web of Science subject categories are the most popular classification system. However, journal-level classification systems have two important limitations: They offer only a limited amount of detail, and they have difficulties with multidisciplinary journals. To avoid these limitations, we introduce a new methodolog...
217 CitationsSource
#1Jevin D. West (UW: University of Washington)H-Index: 18
#2Theodore C. Bergstrom (UCSB: University of California, Santa Barbara)H-Index: 43
Last. Carl T. Bergstrom (UW: University of Washington)H-Index: 46
view all 3 authors...
Limited time and budgets have created a legitimate need for quantitative measures of scholarly work. The well-known journal impact factor is the leading measure of this sort; here we describe an alternative approach based on the full structure of the scholarly citation network. The Eigenfactor Metrics—Eigenfactor Score and Article Influence Score—use an iterative ranking scheme similar to Google’s PageRank algorithm. By this approach, citations from top journals are weighted more heavily than ci...
117 CitationsSource
We consider the kcore decomposition of network models and Internet graphs at the autonomous system (AS) level. The k-core analysis allows to characterize networks beyond the degree distribution and uncover structural properties and hierarchies due to the specific architecture of the system. We compare the kcore structure obtained for AS graphs with those of several network models and discuss the differences and similarities with the real Internet architecture. The presence of biases and th...
143 CitationsSource
This article describes the latest development of a generic approach to detecting and visualizing emerging trends and transient patterns in scientific literature. The work makes substantial theoretical and methodological contributions to progressive knowledge domain visualization. A specialty is conceptualized and visualized as a time-variant duality between two fundamental concepts in information science: research fronts and intellectual bases. A research front is defined as an emergent and tran...
833 CitationsSource
Social network analysis (SNA) is not a formal theory in sociology but rather a strategy for investigating social structures. As it is an idea that can be applied in many fields, we study, in partic...
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