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Our Recent Productions

Datasets, working papers, and peer-reviewed articles produced by MultiObs researchers.

Showing 1–2 of 2

  1. Conference Paper2026Open Access
    Operationalising journals' communication functions through citation patterns and local dimensions(opens in a new tab)

    Di Césare, Victoria; Robinson-García, Nicolás; Costas, Rodrigo

    This preliminary study operationalises the knowledge bridging and gap-filling communication functions of scientific journals, originally proposed by Chavarro et al. (2017). Considering their theoretical definitions, we link these functions to our local research framework (Di Césare & Robinson-Garcia, 2026) through the producers and recipients dimensions, and measure them using local or global references and citations drawn from OpenAlex articles. We aim to empirically identify knowledge bridging and gap-filling journals, both within and outside the mainstream. The results suggest that the vast majority of these journals are non-mainstream. The thematic profiles of their references and citations validate our geographical operationalisations. Gap-filling journals belong predominantly to the non-mainstream local Social Sciences, whereas in the non-mainstream knowledge bridging journals, the Health Sciences emerge. These domain-level findings support the journals' theoretical functions of serving, respectively, as venues for the publication of knowledge overlooked by the mainstream, and as bridges between mainstream knowledge and local communities.

  2. Conference Paper2026Open Access
    Exclusive Bibliographic Coupling: identifying the influence of co-authorship on the identification of scientific domains(opens in a new tab)

    Moutinho, Sônia Oliveira Matos; Grácio, Maria Cláudia Cabrini; Perianes-Rodriguez, Antonio

    This study proposes Exclusive Bibliographic Coupling (EBC) as a methodological alternative to mitigate the influence of co-authorship in bibliographic coupling networks. The method excludes co-author relationships while preserving organic links between non-collaborators. The comparison between the traditional model and EBC includes analyses of author networks to demonstrate that the exclusive method reduces the appearance of links resulting from collaboration, preserving connections based on the theoretical convergence of authors' citation identities. It has been determined that EBC increases the accuracy of identifying cognitive structures and scientific domains, contributing to more consistent and reliable bibliometric analyses.