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International Journal for Uncertainty Quantification

年間 6 号発行

ISSN 印刷: 2152-5080

ISSN オンライン: 2152-5099

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.9 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.5 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0007 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.5 SJR: 0.584 SNIP: 0.676 CiteScore™:: 3 H-Index: 25

Indexed in

SPECIAL ISSUE DEDICATED TO THE 1ST INTERNATIONAL SYMPOSIUM ON UNCERTAINTY QUANTIFICATION AND STOCHASTIC MODELING (UNCERTAINTIES 2012)

巻 3, 発行 6, 2013, pp. vii-viii
DOI: 10.1615/Int.J.UncertaintyQuantification.2013007487
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参考
  1. Batou, A. and Soize, C., Uncertainty quantification in low frequency dynamics of complex beam-like structures having a high-modal density. DOI: 10.1615/Int.J.UncertaintyQuantification.2012005286

  2. Aoues, Y., Chateauneuf, A., Lemosse, D., and El-Hami, A., Optimal design under uncertainty of reinforced concrete structures using system reliability approach. DOI: 10.1615/Int.J.UncertaintyQuantification.2013005786

  3. Ginting, V., Pereira, F., and Rahunanthan, A., A multi-stage bayesian prediction framework for subsurface flows. DOI: 10.1615/Int.J.UncertaintyQuantification.2013005281

  4. Trindade, M. A., Pagani Jr., C. C., Oliveira, L. P. R., and Massaroppi Jr., E., Effectiveness of spatial modal filters based on optimally designed arrays of piezoelectric sensors.

  5. Moustapha, M., Beck, A. T., and Bourinet, J.-M., Design-point excitation for crack propagation under narrow-band random loading. DOI: 10.1615/Int.J.UncertaintyQuantification.2013005074

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