IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v6y2012i2p289-297.html
   My bibliography  Save this article

An analysis for estimating the short-term effects of Japan's triple disaster on progress in materials science

Author

Listed:
  • Magnone, Edoardo

Abstract

Suppose there is a scientist that writes a paper for a peer-reviewed journal. How likely is it that a natural disaster will terminate, change, suspend or discontinue some aspect of this editorial process? To answer this question, the aim of present study was to determine the effects of a natural disaster on progress in materials science research. The Tsunami event in Japan and materials science are well suited to serve as a case study for both the development and application of a system to evaluate the Academic Research Output immediately after a natural disaster. In particular, the analysis focused on the short-term impacts of Japan's triple disaster – earthquake, Tsunami, and nuclear accident (11 March, 2011) – on the Academic Research Output in materials science subject from three different areas: Sendai (Miyagi Prefecture), Tsukuba (Ibaraki Prefecture) and Kyoto (Kyoto Prefecture). The last one has been used as an internal reference standard (normal/non-disaster situation) for the comparison. A geographical cluster-based study was conducted between 09 February and 10 April 2011. Consistent with the hypothesis that a disaster might slow down knowledge production, the conclusion showed that the Japan's triple disaster strongly influenced the Academic Research Output of papers in the selected field of science. Using statistical data, these findings show that the number of submitted papers and the cumulative number of authors contributing to the field of materials science decreased immediately after the March 11th events in the areas affected by disaster.

Suggested Citation

  • Magnone, Edoardo, 2012. "An analysis for estimating the short-term effects of Japan's triple disaster on progress in materials science," Journal of Informetrics, Elsevier, vol. 6(2), pages 289-297.
    • Handle: RePEc:eee:infome:v:6:y:2012:i:2:p:289-297
    DOI: 10.1016/j.joi.2012.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157712000041
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2012.01.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Wen-Ta Chiu & Yuh-Shan Ho, 2007. "Bibliometric analysis of tsunami research," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 3-17, October.
    2. Sotaro Shibayama, 2011. "Distribution of academic research funds: a case of Japanese national research grant," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 43-60, July.
    3. A. Raan, 1999. "Advanced bibliometric methods for the evaluation of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(3), pages 417-423, July.
    4. Lutz Bornmann, 2011. "Mimicry in science?," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 173-177, January.
    5. David A. King, 2004. "The scientific impact of nations," Nature, Nature, vol. 430(6997), pages 311-316, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. O. Mryglod & Yu. Holovatch & R. Kenna & B. Berche, 2016. "Quantifying the evolution of a scientific topic: reaction of the academic community to the Chornobyl disaster," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1151-1166, March.
    2. Edoardo Magnone, 2014. "The extreme case of terrorism: a scientometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 179-201, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Beibei Niu & Song Hong & Jiefei Yuan & Sha Peng & Zhen Wang & Xu Zhang, 2014. "Global trends in sediment-related research in earth science during 1992–2011: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 511-529, January.
    2. Youliang Huang & Qian Huang & Sajid Ali & Xing Zhai & Xiaoming Bi & Renquan Liu, 2016. "Rehabilitation using virtual reality technology: a bibliometric analysis, 1996–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1547-1559, December.
    3. Dragan Ivanović & Yuh-Shan Ho, 2014. "Independent publications from Serbia in the Science Citation Index Expanded: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 603-622, October.
    4. Goodall, Amanda H., 2009. "Highly cited leaders and the performance of research universities," Research Policy, Elsevier, vol. 38(7), pages 1079-1092, September.
    5. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
    6. Amanda H Goodall, 2005. "Should Research Universities be Led by Top Researchers? Part 1: Are they?," HEW 0506003, University Library of Munich, Germany.
    7. Ricardo Arencibia-Jorge & Felix Moya-Anegón, 2010. "Challenges in the study of Cuban scientific output," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 723-737, June.
    8. Pentti Riikonen & Mauno Vihinen, 2008. "National research contributions: A case study on Finnish biomedical research," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 207-222, November.
    9. Kaur, Jasleen & Radicchi, Filippo & Menczer, Filippo, 2013. "Universality of scholarly impact metrics," Journal of Informetrics, Elsevier, vol. 7(4), pages 924-932.
    10. Carolin Michels & Ulrich Schmoch, 2014. "Impact of bibliometric studies on the publication behaviour of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 369-385, January.
    11. Maribel Vega-Arce & Gonzalo Salas & Gastón Núñez-Ulloa & Cristián Pinto-Cortez & Ivelisse Torres Fernandez & Yuh-Shan Ho, 2019. "Research performance and trends in child sexual abuse research: a Science Citation Index Expanded-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1505-1525, December.
    12. Leonardo Reyes-Gonzalez & Claudia N. Gonzalez-Brambila & Francisco Veloso, 2016. "Using co-authorship and citation analysis to identify research groups: a new way to assess performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1171-1191, September.
    13. CRUDU Rodica & CHISCA Maria, 2017. "Cohesion Policy And Regional Competitiveness In The New Eu Countries," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(2), pages 51-65, August.
    14. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    15. Wang, Jian & Lee, You-Na & Walsh, John P., 2018. "Funding model and creativity in science: Competitive versus block funding and status contingency effects," Research Policy, Elsevier, vol. 47(6), pages 1070-1083.
    16. Youliang Huang & Mingquan Zhou & Qingqiong Deng & Juan Zhang & Pengbo Zhou & XianGang Shang, 2015. "Bibliometric analysis for the literature of traditional Chinese medicine in PubMed," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 557-566, October.
    17. Tianwei He, 2009. "International scientific collaboration of China with the G7 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 571-582, September.
    18. Klaus Jaffe & Mario Caicedo & Marcos Manzanares & Mario Gil & Alfredo Rios & Astrid Florez & Claudia Montoreano & Vicente Davila, 2013. "Productivity in Physical and Chemical Science Predicts the Future Economic Growth of Developing Countries Better than Other Popular Indices," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-10, June.
    19. Bosetti, Valentina & Cattaneo, Cristina & Verdolini, Elena, 2015. "Migration of skilled workers and innovation: A European Perspective," Journal of International Economics, Elsevier, vol. 96(2), pages 311-322.
    20. Jiang Wu, 2013. "Geographical knowledge diffusion and spatial diversity citation rank," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 181-201, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:infome:v:6:y:2012:i:2:p:289-297. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.