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Nanoscience and Technology: An International Journal

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ISSN Druckformat: 2572-4258

ISSN Online: 2572-4266

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: 1.3 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: 1.7 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: 0.7 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: 0.00023 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: 0.11 SJR: 0.244 SNIP: 0.521 CiteScore™:: 3.6 H-Index: 14

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NEW METHODS OF ANALYZING IMAGES FOR STUDYING THE MICROSTRUCTURE OF RUBBERS FILLED WITH TECHNICAL CARBON

Volumen 3, Ausgabe 4, 2012, pp. 297-310
DOI: 10.1615/NanomechanicsSciTechnolIntJ.v3.i4.20
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ABSTRAKT

Using unique methods of segmenting images obtained by the aid of an atomic-force microscope, the microstructure of seven rubbers filled with carbon black was studied. The materials differ in the type of the polymer, filler fraction, and in the mixing time. The structure of inclusions (aggregates and large lumps-microgranules), the homogeneity of filler distribution in the matrix, and the characteristics of secondary clusters (agglomerates) have been investigated.

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