1,721,390 research outputs found
Obtaining S-N curves from crack growth curves: an alternative to self-similarity
The authors are indebted to the Spanish Ministry of Science and Innovation MICINN (Project BIA2010-19920) for financial support of this work
Hazard maps and global probability as a way to transfer standard fracture results to reliable design of real components
2010-19920, BIA, British Infection Association; 2011-28959, BIA, British Infection Associatio
Maximum likelihood estimation for the three-parameter Weibull cdf of strength in presence of concurrent flaw populations
MICINN (Ministry of Science and Innovation) (Projects BIA2009-10483 and BIA2010-19920
Statistical joint evaluation of fracture results from distinct experimental programs: An application to annealed glass
The authors gratefully acknowledge the financial support of the Asturian Regional Research and the National Spanish Research Programs through the Severo Ochoa and FPI Pre-doctoral Grants, as well as through the BIA 2010-19920 and BIA2011-28959 projects
Probabilistic assessment of fatigue initiation data on highly crosslinked ultrahigh molecular weight polyethylenes
Spanish Interministerial Commission for Science and Technology (CICYT), Project no. MAT 2010-16175 and the Spanish Ministry of Science and Innovation (MICINN), Project no. BIA 2010-19920
The region-dependent dynamic properties of porcine temporomandibular joint disc under unconfined compression
Spanish Research Program (FC-04-EQP-21, BIA2010-19920 and BIA 2011–28959) and CajAstur Fellowship-University of Oviedo 201
Probabilistic assessment of fatigue data from shape homologous but different scale specimens. Application to an experimental program
The authors are indebted to the MICINN (Ministry of Science and Innovation) (Project BIA2010-19920) the Ministry of Science and Education and from Regional Project SV-PA-11-012 of the Chancellery of Science and Education of the Asturias Regional Government for financial support of this wor
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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