Co-citation analysis and the search for invisible colleges: A methodological evaluation

By Markus Gmür. Scientometrics, 2004

375 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bc105d16ba9caa8aabb4dca767d385a5fd0152ca

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In Strategy and Management

Citations in the corpus

Is There Conceptual Convergence in Entrepreneurship Research? A Co–Citation Analysis of Frontiers of Entrepreneurship Research, 1981–2004 (2006, methodology): “…the structure of co-citation networks provides an indication of the extent of the converging literature around particular ideas, whereas the density of these networks indicates the level of convergence around these ideas (cf. Bayer et al., 1990; Gmür, 2003; Small, 1980; White & Griffith, 1981).”
Digital innovation: A review and synthesis (2019, background): “The larger the number in each cell, the more similar the articles are (Gmur, 2003).”
Bibliometric Methods in Management and Organization (2015, neutral): “However, Gmür (2003) found that factor analysis in the conditions of high structural complexity does not generate a true representation of co-citation clusters.”
Mapping the Intellectual Structure of Social Entrepreneurship Research: A Citation/Co-citation Analysis (2019, neutral): “Normalization overcomes the difference of scale between an often-cited document and a similar document cited less often (Gmur 2003).”
Architectural leverage: putting platforms in context (2014, background): “A co-citation analysis identified the key referenced articles (Schildt & Mattsson, 2006), providing a mechanism to highlight key concepts, theoretical bases, and invisible colleges (Gmur, 2003; Small, 1973).”
Capital structure of SMEs: a systematic literature review and bibliometric analysis (2019, methodology): “Thus, co-citation analysis is a tool to measure the contextual similarity of multiple publications associated with a similar topic, theory, methodology, or empirical discipline (Small and Greenlee 1980; Gmur 2003).”
How to normalize cooccurrence data? An analysis of some well-known similarity measures (2009, neutral): “The objects can be, for example , authors (e.g., White and McCain, 1998), countries (e.g., Glänzel, 2001; Zitt et al., 2000), documents (e.g., Gmür, 2003; Klavans and Boyack, 2006b), journals (e.g., Boyack, Klavans, and Börner, 2005; Klavans and Boyack, 2006a), Web pages (e.g., Vaughan, 2006;…”
Synthesizing information systems knowledge: A typology of literature reviews (2015, methodology): “While a typology is derived in a deductive manner, a taxonomy is usually derived empirically or inductively using cluster analysis or other statistical methods.”
Fundamentals of Information Studies: Understanding Information and Its Environment, Second Edition (2009, background): “While this has proven useful for certain networks (for good reviews on the subject, see Small, 1985; Gmür, 2003), a threshold must be imposed to differentiate the various sub-groups and the divisions are often contingent on the presence of several dominant authors.”
Informetrics at the beginning of the 21st century - A review (2008, methodology): “Gmur (2003) experimented with different cluster formation methods, and demonstrated them for the field of organization science.”
Social innovation research: An emerging area of innovation studies? (2016, background): “Therefore, this information can also e used to detect the presence of otherwise invisible ‘communiies’ (e.g. Gmür, 2003).”