6 research outputs found

    Does collaborative research published in top journals remain uncited?

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    This paper investigates whether collaborative research published in top journals remains uncited, and to what extent access type (open and closed) affects on citation of collaborative research published in top journals. It looks at publications including articles, conference papers, reviews, short surveys, editorials, letters, notes published between 2009-2016 with an affiliation from Chalmers University of Technology and indexed in Scopus. To giveenough time to gather citation, two-year time frame is considered for the publication of the year 2016. The data is classified based on access types: closed and open access, and sub-classified as cited closed access, cited open access, non-cited closed access, and non-cited open access in SciVal. The top 25 percentile indicating the number of journals that are in the top 25% of the most cited journals indexed by Scopus is considered. The result showsthat a small portion of collaborative research published in top journals remain uncited irrespective of types of collaboration. In case of international collaborative research, publications in closed access are more cited than in open access. Institutional collaborative research publications are more cited than national collaborative ones. Collaborative research is more cited than single authors’ publications and single authored conference paperspublished in the top percentile do not remain uncited

    Identification of Emerging Scientific Topics in Bibliometric Databases

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    Bibliometrie, Maschinelles Lernen, LDA, Clustering, Neue Themen Abstract = Frühzeitiges Erkennen von aufkommenden Themengebieten in der Wissenschaft unterstützt sowohl Entscheidungen auf individueller als auch öffentlicher Ebene. Viele bestehende Verfahren beschränken sich auf eine retrospektive (Zitations-)Analyse der Publikationsdaten. Das Ziel der vorliegenden Arbeit war deshalb die Entwicklung eines Verfahrens, das zeitnah und neutral sogenannte "emerging topic candidates" aus einem Set von wissenschaftlichen Publikationen auswählt

    Identification of Emerging Scientific Topics in Bibliometric Databases

    Get PDF
    Bibliometrie, Maschinelles Lernen, LDA, Clustering, Neue Themen Abstract = Frühzeitiges Erkennen von aufkommenden Themengebieten in der Wissenschaft unterstützt sowohl Entscheidungen auf individueller als auch öffentlicher Ebene. Viele bestehende Verfahren beschränken sich auf eine retrospektive (Zitations-)Analyse der Publikationsdaten. Das Ziel der vorliegenden Arbeit war deshalb die Entwicklung eines Verfahrens, das zeitnah und neutral sogenannte "emerging topic candidates" aus einem Set von wissenschaftlichen Publikationen auswählt

    Elevating B2B branding in a global context: Integrating existing literature and proposing a forward-thinking conceptual framework

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    This study aims to evaluate B2B branding in a global context by constructing a framework for future research, practitioners, and brand managers operating in international B2B markets. Employing co-citation and text-mining techniques to investigate 281 articles, we identified five knowledge fields that map the intellectual structure of this domain: brand equity, industrial branding, brand value, global brand leadership, and relationship marketing. We also gained a deeper understanding of the important topics in global B2B branding literature. This framework not only highlights gaps and challenges in conceptual and methodological approaches but also challenges and extends existing academic discourse. It offers a systematic approach to strategic decision-making and the overhaul of marketing practices, guiding practitioners to navigate the complexities of global B2B branding. Our critical analysis sets a new agenda for future research, calling for a more rigorous and holistic advancement in the field of global B2B branding
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