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A bibliometric analysis of NOAA’s Office of Ocean Exploration and Research

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  • Chris W. Belter

    (NOAA Central Library)

Abstract

Bibliometric analysis techniques are increasingly being used to analyze and evaluate scientific research produced by institutions and grant funding agencies. This article uses bibliometric methods to analyze journal articles funded by NOAA’s Office of Ocean Exploration and Research (OER), an extramural grant-funding agency focused on the scientific exploration of the world’s oceans. OER-supported articles in this analysis were identified through grant reports, personal communication, and acknowledgement of OER support or grant numbers. The articles identified were analyzed to determine the number of publications and citations received per year, subject, and institution. The productivity and citation impact of institutions in the US receiving OER grant funding were mapped geographically. Word co-occurrence and bibliographic coupling networks were created and visualized to identify the research topics of OER-supported articles. Finally, article citation counts were evaluated by means of percentile ranks. This article demonstrates that bibliometric analysis can be useful for summarizing and evaluating the research performance of a grant funding agency.

Suggested Citation

  • Chris W. Belter, 2013. "A bibliometric analysis of NOAA’s Office of Ocean Exploration and Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 629-644, May.
    • Handle: RePEc:spr:scient:v:95:y:2013:i:2:d:10.1007_s11192-012-0836-0
    DOI: 10.1007/s11192-012-0836-0
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    References listed on IDEAS

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    Cited by:

    1. Elaine Aparecida Regiani Campos & Regina Negri Pagani & Luis Mauricio Resende & Joseane Pontes, 2018. "Construction and qualitative assessment of a bibliographic portfolio using the methodology Methodi Ordinatio," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 815-842, August.
    2. Elio Atenógenes Villaseñor & Ricardo Arencibia-Jorge & Humberto Carrillo-Calvet, 2017. "Multiparametric characterization of scientometric performance profiles assisted by neural networks: a study of Mexican higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 77-104, January.
    3. Jayshree Mamtora & Jacqueline K. Wolstenholme & Gaby Haddow, 2014. "Environmental sciences research in northern Australia, 2000–2011: a bibliometric analysis within the context of a national research assessment exercise," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 265-281, January.
    4. Torger Möller & Marion Schmidt & Stefan Hornbostel, 2016. "Assessing the effects of the German Excellence Initiative with bibliometric methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2217-2239, December.

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