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Spatial Scientometrics

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Encyclopedia of Big Data

Synonyms

Geospatial scientometrics

Definition/Introduction

The research field of scientometrics (or bibliometrics) is concerned with measuring and analyzing science, with the aim of quantifying a publication, a journal, or a discipline’s structure, impact, change, and interrelations. The spatial dimension (e.g., location, place, proximity) of science has been added into account since research activities usually start from a certain region or several places in the world and then spread to other places, thus displaying spatiotemporal patterns. The analysis of spatial aspects of the science system is composed of spatial scientometrics (Frenken et al. 2009), which address the studies of geospatial distribution patterns on scientific activities, domain interactions, co-publications, citations, academic mobility, and so forth. The increasing availability of large-scale research metadata repositories in the big data age and the advancement in geospatial information technologies have enabled...

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Further Readings

  • Börner, K. (2010). Atlas of science: Visualizing what we know. Cambridge: The MIT Press.

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  • Bornmann, L., & Waltman, L. (2011). The detection of “hot regions” in the geography of science – A visualization approach by using density maps. Journal of Informetrics, 5(4), 547–553.

    Article  Google Scholar 

  • Boschma, R. (2005). Proximity and innovation: A critical assessment. Regional Studies, 39(1), 61–74.

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  • Bratt, S., Hemsley, J., Qin, J., & Costa, M. (2017). Big data, big metadata and quantitative study of science: A workflow model for big scientometrics. Proceedings of the Association for Information Science and Technology, 54(1), 36–45.

    Article  Google Scholar 

  • Frenken, K., Hardeman, S., & Hoekman, J. (2009). Spatial scientometrics: Towards a cumulative research program. Journal of Informetrics, 3(3), 222–232.

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  • Gao, S., Hu, Y., Janowicz, K., & McKenzie, G. (2013, November). A spatiotemporal scientometrics framework for exploring the citation impact of publications and scientists. In Proceedings of the 21st ACM SIGSPATIAL international conference on advances in geographic information systems (pp. 204–213). Orlando, Florida, USA: ACM.

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Author information

Authors and Affiliations

  1. Department of Geography, University of Wisconsin-Madison, Madison, WI, USA

    Song Gao

Authors
  1. Song Gao
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Corresponding author

Correspondence to Song Gao .

Editor information

Editors and Affiliations

  1. School of Policy, Government and International Affairs, George Mason University, Fairfax, VA, USA

    Laurie A. Schintler

  2. School of Policy, Government and International Affairs, George Mason University, Fairfax, VA, USA

    Connie L. McNeely

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Gao, S. (2020). Spatial Scientometrics. In: Schintler, L., McNeely, C. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_493-1

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  • DOI: https://doi.org/10.1007/978-3-319-32001-4_493-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32001-4

  • Online ISBN: 978-3-319-32001-4

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