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Study on the destination of research via knowledge flows

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  • Shino Iwami

    (Eötvös Loránd University)

Abstract

Today, governments tackle the science of science policy with quantitative analysis, especially in the USA. This trend promotes the use of objective data by decision-makers in the fields of innovation policy and technology management. These decision-makers seek more reliable research and development at an earlier stage to contribute to the national economy. Under this worldwide trend, there is a high demand for quantitative analysis accompanying complex IT skills from governmental officers and non-IT researchers. The purpose of this research is to extract the destinations of currently growing fields of science by means of tracking citations and to capture signs of state of the art studies. The analysis data are bibliographic data of academic papers retrieved from Web of Science. I provide results for 16 growing topics as of July 2016. I deepen the understanding of the “convolutional neural network” among a lot of topics, and found future application candidates. I provide a methodology to discover future seeds of research and development. Additionally, the analysis system used in this research automatically publishes its results, and always provides the results. This research will contribute to improving strategies around research and development.

Suggested Citation

  • Shino Iwami, 2017. "Study on the destination of research via knowledge flows," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 273-288, July.
    • Handle: RePEc:spr:scient:v:112:y:2017:i:1:d:10.1007_s11192-017-2395-x
    DOI: 10.1007/s11192-017-2395-x
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    References listed on IDEAS

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    1. Ismael Rafols & Alan L. Porter & Loet Leydesdorff, 2010. "Science overlay maps: A new tool for research policy and library management," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1871-1887, September.
    2. Loet Leydesdorff & Ismael Rafols, 2009. "A global map of science based on the ISI subject categories," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 348-362, February.
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    Cited by:

    1. Shino Iwami & Arto Ojala & Chihiro Watanabe & Pekka Neittaanmäki, 2020. "A bibliometric approach to finding fields that co-evolved with information technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 3-21, January.

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