Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools

Pan, Xuelian; Yan, Erjia; Ming, Cui; Hua, Weina

doi:10.1016/j.joi.2018.03.005

Cited by 302 publications

(191 citation statements)

References 48 publications

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“…The only exception to the aforementioned approaches is a recent effort examining the impact of bibliometric mapping tools (Pan, Yan, Cui, & Hua, 2018); the authors used the Web of Science citation data to conduct their analysis.…”

Section: Quantitative Studies Of Scientific Softwarementioning

confidence: 99%

Challenges of measuring software impact through citations: An examination of the lme4 R package

Chen

Yan

2019

Journal of Informetrics

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The rise of software as a research object is mirrored in the increasing interests towards quantitative studies of scientific software. However, due to the inconsistent practice of citing software, most of the existing studies analyzing the impact of scientific software are based on identification of software name mentions in full-text publications. Despite its limitations, citation data have a much larger quantity and broader coverage of scientific fields than full-text data and thus could support findings in much larger scopes. This paper presents an analysis aiming to evaluate the extent to which citations data can be used to reconstruct the impact of software. Specifically, we identified the variety of citable objects related to the lme4 R package and examined how the package's impact is scattered across these objects. Our results reveal a littlediscussed challenge of using citation data to measure the impact of software, that even within the category of formal citation, there might be different forms in which the same software object is cited. This challenge can be mitigated by more carefully selecting objects as the proxy of software. However, it cannot be fully solved until we have one-software-one-proxy policy for software citation.

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Section: Quantitative Studies Of Scientific Softwarementioning

confidence: 99%

Challenges of measuring software impact through citations: An examination of the lme4 R package

Chen

Yan

2019

Journal of Informetrics

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“…This is why we have decided to use them here. These two software tools have seen the fastest and most widespread adoption of any tools used in library and information-science research [28].…”

Section: Analytical Methods and Toolsmentioning

confidence: 99%

Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis

2019

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As urbanization continues to accelerate, the number of cities and their growing populations have created problems, such as the congestion and noise related to transportation, the pollution from industry, and the difficulty of disposing of garbage. An emerging urban strategy is to make use of digital technologies and big data to help improve the quality of life of urban residents. In the past decade, more and more researchers have studied smart cities, and the number of literature in this field grows rapidly, making it “big data”. With the aim of better understanding the contexts of smart-city research, including the distribution of topics, knowledge bases, and the research frontiers in the field, this paper is based on the Science Citation Index Expanded (SCIE) and Social Sciences Citation Index (SSCI) in the Web of Science (WoS) Core Collection, and the method used is that of comprehensive scientometric analysis and knowledge mapping in terms of diversity, time slicing, and dynamics, using VOSviewer and CiteSpace to study the literature in the field. The main research topics can be divided into three areas—“the concepts and elements of the smart city”, “the smart city and the Internet of Things”, and “the smart city of the future”—through document co-citation analysis. There are four key directions—“research objectives and development-strategy research”, “technical-support research”, “data-processing and applied research”, and “management and applied research”—analyzed using keywords co-occurrence. Finally, the research frontiers are urban-development, sustainable cities, cloud computing, artificial intelligence, integration, undertaken through keyword co-occurrence analysis.

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“…CiteSpace visualizes and analyzes trends and patterns in scientific literature, taking advantage of the citation and co-citation records to present the intellectual structure, including the cluster maps and dual-map overlays, as well as bibliographic coupling. Citespace has become one of the most widely used bibliometric mapping tools [43]. It has been used to map various research areas such as social commerce [44], regenerative medicine [45], hospitality [46], and climate change and tourism [47].…”

Section: Methodsmentioning

confidence: 99%

Visualizing Sustainability Research in Business and Management (1990–2019) and Emerging Topics: A Large-Scale Bibliometric Analysis

Jia

Wei

2019

Sustainability

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While researchers from many disciplines are increasingly interested in studying issues related to sustainability, few studies have presented a holistic view of sustainability from the perspectives of business and management. This bibliometric study quantitatively analyzed a big data set of 30 years of sustainability research (1990–2019), consisting of 37,322 publications and 1,199,398 cited references, visualizing major topics, dynamic evolution, and emerging development. The decade-by-decade in-depth analysis shows a clear shift from a nearly exclusive focus on economic growth and consumption to all three pillars of sustainability, i.e., economic growth, social development, and environmental protection. Highlighting the differences between United Nations’ Sustainable Development Goals and the popular research topics from academia, our analysis uncovers research gaps and suggests future research directions for sustainability researchers and practitioners.

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Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools

Cited by 302 publications

References 48 publications

Challenges of measuring software impact through citations: An examination of the lme4 R package

Challenges of measuring software impact through citations: An examination of the lme4 R package

Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis

Visualizing Sustainability Research in Business and Management (1990–2019) and Emerging Topics: A Large-Scale Bibliometric Analysis

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