Quantifying the evolution of a scientific topic: reaction of the academic community to the Chornobyl disaster
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- Ludo Waltman & Nees Eck, 2013. "A smart local moving algorithm for large-scale modularity-based community detection," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(11), pages 1-14, November.
- 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.
- Alesia Zuccala & Nees Jan van Eck, 2011. "Poverty Research in a Development Policy Context," Development Policy Review, Overseas Development Institute, vol. 29(3), pages 311-330, May.
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KeywordsTopic evolution; Terms indentification; Bibliometric analysis; Authorship networks; Interdisciplinarity; Text mining; Chornobyl disaster;
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