Searching for intellectual turning points: Progressive knowledge domain visualization

Chen, Chaomei

doi:10.1073/pnas.0307513100

Cited by 1,993 publications

(1,512 citation statements)

References 30 publications

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“…Bibliometric mapping of scholarly outputs in a given domain is often used to chart the fields and knowledge areas and help establish the underlying structure (Chen, 2004). Following a similar approach, this study investigated the domain of STEM education to understand the core knowledge areas and what can be inferred from the emerging structure for important activities, including curriculum development, policy formation, professional development, and resource management.…”

Section: Resultsmentioning

confidence: 99%

“…In the social studies of science, constructing a map and analyzing science and the activities of scientists through their works have been recognized as methods to understand a field (Callon et al, 1986). Other studies have developed "knowledge domain visualization" (KDV) to understand the development of a given knowledge domain (Chen, 2004).…”

Section: Co-word Analysis Mapping and Visualizationmentioning

confidence: 99%

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A bibliometric mapping of the structure of STEM education using co‐word analysis

Assefa

Rorissa

2013

J Am Soc Inf Sci Tec

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STEM, a set of fields that includes science, technology, engineering, and mathematics; allied disciplines ranging from environmental, agricultural, and earth sciences to life science and computer science; and education and training in these fields, is clearly at the top of the list of priority funding areas for governments, including the United States government. The U.S. has 11 federal agencies dedicated to supporting programs and providing funding for research and curriculum development. The domain of STEM education has significant implications in preparing the desired workforce with the requisite knowledge, developing appropriate curricula, providing teachers the necessary professional development, focusing research dollars on areas that have maximum impact, and developing national educational policy and standards. A complex undertaking such as STEM education, which attracts interest and valuable resources from a number of stakeholders needs to be well understood. In light of this, we attempt to describe the underlying structure of STEM education, its core areas, and their relationships through co-word analyses of the titles, keywords, and abstracts of the relevant literature using visualization and bibliometric mapping tools. Implications are drawn with respect to the nature of STEM education as well as curriculum and policy development.

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Section: Resultsmentioning

confidence: 99%

Section: Co-word Analysis Mapping and Visualizationmentioning

confidence: 99%

A bibliometric mapping of the structure of STEM education using co‐word analysis

Assefa

Rorissa

2013

J Am Soc Inf Sci Tec

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“…Many articles were eliminated at this stage, for example book reviews, abstracts of conference presentations or cost-effectiveness analyses of drug treatments (given we wanted to exclude the clinical, biochemical, microbiological and pharmacological literature). However, WoK does not provide such a ranking and therefore the innovative bibliometric visualisation tool CiteSpace Chen (2004Chen ( , 2006 was used. Chen (2004Chen ( , 2006 has demonstrated various uses of citation information and network analysis for the scientific literature.…”

Section: Review Methodsology and The Right Information Template (Rit)mentioning

confidence: 99%

An analysis of the academic literature on simulation and modelling in health care

Brailsford

Harper

Patel

et al. 2009

Journal of Simulation

344

168

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This article describes a multi-dimensional approach to the classification of the research literature on simulation and modelling in health care. The aim of the study was to analyse the relative frequency of use of a range of operational research modelling approaches in health care, along with the specific domains of application and the level of implementation. Given the vast scale of the health care modelling literature, a novel review methodology was adopted, similar in concept to the approach of stratified sampling. The results provide new insights into the level of activity across many areas of application, highlighting important relationships and pointing to key areas of omission and neglect in the literature. In addition, the approach presented in this article provides a systematic and generic methodology that can be extended to other application domains as well as other types of information source in health-care modelling.

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“…Mazloumian et al [13] characterized how a publication of a landmark paper increases attention paid to author's other papers, leading to a paradigm shift, which may eventually be recognized with a Nobel prize. Chen [34] described the use of a dynamic co-citation network to reveal "intellectual turning point" papers. Our approach differs from related work in that, first, we explicitly target papers that disrupt established works, and second, we consider cascades, which take chains of citations into account.…”

Section: Related Workmentioning

confidence: 99%

Identifying Transformative Scientific Research

Huang

Hsu²,

Lerman³

2013

2013 IEEE 13th International Conference on Data Mining

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Abstract-Transformative research refers to research that shifts or disrupts established scientific paradigms. Notable examples include the discovery of high-temperature superconductivity that disrupted the theory established 30 years ago. Identifying potential transformative research early and accurately is important for funding agencies to maximize the impact of their investments. It also helps scientists identify and focus their attention on promising emerging works. This paper presents a datadriven approach where citation patterns of scientific papers are analyzed to quantify how much a potential challenger idea shifts an established paradigm. The key idea is that transformative research creates an observable disruption in the structure of "information cascades," chains of references that can be traced back to the papers establishing some scientific paradigm. Such a disruption is visible soon after the challenger's introduction. We define a disruption score to quantify the disruption and develop an algorithm to compute it from a large citation network. Experimental results show that our approach can successfully identify transformative scientific papers that disrupt established paradigms in Physics and Computer Science, regardless of whether the challenger paradigm is an instant hit or a classic whose contribution is formally recognized with a Nobel Prize decades later.

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Searching for intellectual turning points: Progressive knowledge domain visualization

Cited by 1,993 publications

References 30 publications

A bibliometric mapping of the structure of STEM education using co‐word analysis

A bibliometric mapping of the structure of STEM education using co‐word analysis

An analysis of the academic literature on simulation and modelling in health care

Identifying Transformative Scientific Research

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