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Bibliometric Tools for Discovering Information in Database

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Book cover Trends in Applied Knowledge-Based Systems and Data Science (IEA/AIE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9799))

Abstract

In bibliometrics, there are two main procedures to explore a research field: performance analysis and science mapping. Performance analysis aims at evaluating groups of scientific actors (countries, universities, departments, researchers) and the impact of their activity on the basis of bibliographic data. Science mapping aims at displaying the structural and dynamic aspects of scientific research, delimiting a research field, and quantifying and visualizing the detected sub-fields by means of co-word analysis or documents co-citation analysis. In this paper we present two bibliometric tools that we have developed in our research laboratory SECABA: (i) H-Classics to develop performance analysis based on Highly Cited Papers and (ii) SciMAT to develop science mapping guided by performance bibliometric indicators.

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Acknowledgments

The authors would like to acknowledge FEDER financial support from the Project TIN2013-40658-P, and also the financial support from the Andalusian Excellence Project TIC-5991.

Author information

Authors and Affiliations

  1. Department of Computer Science and A.I., University of Granada, 18071, Granada, Spain

    Enrique Herrera-Viedma

  2. UNIR Research, Universidad Internacional de la Rioja, Madrid, Spain

    Manuel Herrera

  3. Department of Social Work and Social Services, University of Granada, Granada, Spain

    M. Angeles Martinez

Authors
  1. Enrique Herrera-Viedma
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  2. M. Angeles Martinez
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  3. Manuel Herrera
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Corresponding author

Correspondence to Enrique Herrera-Viedma .

Editor information

Editors and Affiliations

  1. Iwate Prefectural University , Iwate, Japan

    Hamido Fujita

  2. Department Computer Science, Texas State University, San Marcos, Texas, USA

    Moonis Ali

  3. Universiti Teknologi Malaysis (UTM), Bahru, Malaysia

    Ali Selamat

  4. Iwate Prefectural University , Iwate, Japan

    Jun Sasaki

  5. Iwate Prefectural University , Iwate, Japan

    Masaki Kurematsu

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Herrera-Viedma, E., Martinez, M.A., Herrera, M. (2016). Bibliometric Tools for Discovering Information in Database. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds) Trends in Applied Knowledge-Based Systems and Data Science. IEA/AIE 2016. Lecture Notes in Computer Science(), vol 9799. Springer, Cham. https://doi.org/10.1007/978-3-319-42007-3_17

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  • DOI: https://doi.org/10.1007/978-3-319-42007-3_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42006-6

  • Online ISBN: 978-3-319-42007-3

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