Citation structure of an emerging research area on the verge of application

Small, Henry; Upham, S. Phineas

doi:10.1007/s11192-009-0424-0

Cited by 49 publications

(28 citation statements)

References 8 publications

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“…To improve the clarity of a visualized evolution network, we used a simplified network using pruning [31]. Here, a topology-based approach instead of a threshold-based approach was chosen for to more extensively consider intrinsic topological properties [56][57][58]. In this study, pathfinder network scaling instead of minimal spanning trees was used to preserve the chronological growth patterns in the co-citation networks.…”

Section: Intellectual Structure Of Knowledge Managementmentioning

confidence: 99%

Visualizing the Academic Discipline of Knowledge Management

et al. 2018

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Abstract:The aim of this paper was to evaluate the research status of knowledge management (KM) and identify the characteristics of KM in the literature. We selected and studied in detail 7628 original research articles from the Web of Science from 1974 to 2017. Although many studies have contributed to the evolution of the KM domain, our results showed that a comprehensive bibliometric and visualization investigation was required. The literature on KM has grown rapidly since the 1970s. The United States of America, as the original contributing country, has also internationally collaborated the most in this field of study. The National Cheng Kung University has made the highest number of contributions. The majority of authors contributed a small number of publications. Additionally, the most common category in KM research was management. The main publications for KM research include Journal of Knowledge Management, and Knowledge Management Research & Practice. A keywords analysis determined that "knowledge sharing", "innovation", "ontology", and "knowledge management" were consistent hotspots in knowledge management research. Through a document co-citation analysis, the intellectual structures of knowledge management were defined, and four emerging trends were identified that focus on new phenomenon, the practice of knowledge management, small and medium enterprises (SMEs) management based on knowledge perspective, innovation and performance, and big data-enabled KM. We also provide eight research questions for future studies. Our results will benefit academics, researchers, and research students who want to rapidly obtain an overview of knowledge management research. This study can also be a starting point for communication between academics and practitioners.

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Section: Intellectual Structure Of Knowledge Managementmentioning

confidence: 99%

Visualizing the Academic Discipline of Knowledge Management

et al. 2018

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“…The network of these macro-clusters is then mapped in two dimensions using a forcedirected placement algorithm (Fruchterman and Reingold 1991;Small and Upham 2009), resulting in the network shown in Fig. 1 where each circle represents a cluster of clusters nested four levels deep, one level for each iteration.…”

Section: Initial Case Studymentioning

confidence: 99%

Maps of science as interdisciplinary discourse: co-citation contexts and the role of analogy

Small

2009

Scientometrics

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Interdisciplinarity can be manifest in many forms: through collaboration or communication between scientists working in different fields or through the work of individual scientists who employ concepts or methods across disciplines. This latter form of interdisciplinarity is addressed here with the goal of understanding how ideas in different fields come together to create new opportunities for discovery. Maps of science are used to suggest possible interdisciplinary links which are then analyzed by co-citation context analysis. Interdisciplinary links are identified by juxtaposing a clustering and mapping of documents against a journal-based categorization of the same document clusters. Links between clusters are characterized as interdisciplinary based on the dissonance of their category assignments. To verify and probe more deeply into the meaning of interdisciplinary links, co-citation contexts for selected links from five separate cases are analyzed in terms of prominent cue words. This analysis reveals that interdisciplinary connections are often based on authors' perceptions of analogous problems across scientific domains. Cue words drawn from the citation contexts also suggest that these connections are viewed as important and ripe with both opportunity and risk.

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“…Moreover, different methods have been proposed to address the problem of delimiting a research field, and quantifying and visualizing the detected subfields by means of co-word or co-citation analysis (Börner et al, 2003;Callon et al, 1991;Chen, Ibekwe-SanJuan, & Hou, 2010;Coulter et al, 1998;Courtial & Michelet, 1994;Courtial, 1990;Kandylas, Upham, & Ungar, 2010;Leydesdorff & Rafols, 2009;Rip & Courtial, 1984;Small & Upham, 2009;Small, 1977Small, , 2006Upham & Small, 2010). The majority of these methods are mainly focused on measuring the performance of the scientific actors and little research has been carried out in order to measure the performance of given research fields in a conceptual way (specific themes or whole thematic areas).…”

Section: Introductionmentioning

confidence: 99%