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Bibliometric Studies on Renewable Energy—Poland Compared to Other EU Countries

Author

Listed:
  • Katarzyna Brzozowska-Rup

    (Faculty of Management and Computer Modelling, Kielce University of Technology, 25-314 Kielce, Poland)

  • Marzena Nowakowska

    (Faculty of Management and Computer Modelling, Kielce University of Technology, 25-314 Kielce, Poland)

Abstract

The necessity to use renewable energy sources (RES), especially in EU countries, is becoming more and more urgent in the face of environmental degradation. It is reflected not only in technological solutions for obtaining energy from renewable sources, but also in scientific research supporting RES technology development. There are an increasing number of papers on renewable energy. The aim of the study was to compare research areas concerning renewable energy in Poland and other EU countries by analyzing scientific works. A selected collection of publications available in the Scopus scientific databases was selected as the subject of the study. After cleaning the data and elaborating the thesaurus, the analysis of the article content was conducted applying text processing methods. Conceptual maps of keywords and keyword co-occurrences were created, which enables arranging and classifying knowledge from the subject area. Research hotspots and the directions of science development in the field of renewable energy were identified. The computer program VOSviewer was used in the investigation. Lorenz curves and Gini coefficients were used to identify quite a strong concentration of RES articles in leading journals on the publication market.

Suggested Citation

  • Katarzyna Brzozowska-Rup & Marzena Nowakowska, 2022. "Bibliometric Studies on Renewable Energy—Poland Compared to Other EU Countries," Energies, MDPI, vol. 15(13), pages 1-20, June.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4577-:d:845608
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    References listed on IDEAS

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    1. Gastwirth, Joseph L, 1972. "The Estimation of the Lorenz Curve and Gini Index," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 306-316, August.
    2. Esther Salmerón-Manzano & Francisco Manzano-Agugliaro, 2017. "Worldwide Scientific Production Indexed by Scopus on Labour Relations," Publications, MDPI, vol. 5(4), pages 1-14, October.
    3. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
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    Cited by:

    1. Blanka Tundys & Tomasz Wiśniewski, 2023. "Renewable Energy Supply Chains—Text Mining and Co-Occurrence Analysis in the Context of the Sustainability," Energies, MDPI, vol. 16(12), pages 1-20, June.
    2. Sabina Kordana-Obuch & Mariusz Starzec & Michał Wojtoń & Daniel Słyś, 2023. "Greywater as a Future Sustainable Energy and Water Source: Bibliometric Mapping of Current Knowledge and Strategies," Energies, MDPI, vol. 16(2), pages 1-34, January.

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