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Smart bibliometrics: an integrated method of science mapping and bibliometric analysis

Author

Listed:
  • Vilker Zucolotto Pessin

    (Federal University of Espírito Santo)

  • Luciana Harue Yamane

    (Federal University of Espírito Santo)

  • Renato Ribeiro Siman

    (Federal University of Espírito Santo)

Abstract

Bibliometric techniques and science mapping are widely employed in the research environment to provide an overview of the state-of-the-art of scientific knowledge on a given topic. These techniques are essential to assist the researcher's work by guiding the compilation of the bibliography to support the theory discussion. To this objective, the Smart Bibliometrics was developed to facilitate bibliometric analysis and selection of theoretical references, embodied by a system that brings intelligence, dynamism, and agility to the scientific writing process. The innovation of this methodology is the fusion of two relevant criteria applied during the bibliometric analysis process: the application of a representative metric of classification of scientific papers and dynamic visuals strategically developed. The methodology differs for providing the user with dynamic navigation and interaction experience with the data collected, innovating the approach to reaching insights within the universe of discussions of the scientific community. In addition, as an innovation factor, the method is presented in a scalable Business Intelligence (BI) system that features blunt visuals, extensive analysis repertoire, intuitive navigation, and automated updating. The development was carried out in a cutting-edge technological platform to attend information and sharing intents by employing cloud computing resources, another feature that enables interaction among researcher groups also from different institutions. Additionally, it is not necessary to install any software. The output will be available for consultation, at any time and place, just by using one device with an internet connection.

Suggested Citation

  • Vilker Zucolotto Pessin & Luciana Harue Yamane & Renato Ribeiro Siman, 2022. "Smart bibliometrics: an integrated method of science mapping and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3695-3718, June.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:6:d:10.1007_s11192-022-04406-6
    DOI: 10.1007/s11192-022-04406-6
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    3. Ramazan Yirci & Turgut Karakose & Ibrahim Kocabas & Tijen Tülübaş & Stamatios Papadakis, 2023. "A Bibliometric Review of the Knowledge Base on Mentoring for the Professional Development of School Administrators," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
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    5. Prem Kumar Singh, 2023. "Research impact analysis of an institute using Scopus data and its hierarchical order visualization," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2859-2892, June.
    6. Victor, Vijay & Nair, Aparna M. & Meyer, Daniel Francois, 2023. "Nudges and choice architecture in public policy: A bibliometric analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).
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    8. Silva, Emmanuel Marques & Moreira, Rafael de Lacerda & Bortolon, Patricia Maria, 2023. "Mental Accounting and decision making: a systematic literature review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).

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