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Ophidia (http://ophidia.cmcc.it) is a CMCC Foundation research project addressing big data challenges for eScience. It provides support for declarative, parallel, server-side data analysis exploiting parallel computing techniques and database approaches. Ophidia exploits a multidimensional data model providing the data cube abstraction for access and analysis of scientific n-dimensional data.
The research leading to these results has received funding from the European Union FP7/2007-2013 under grant agreement n° 607418.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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