Citation Profile: Working Papers / University of Sydney Business School, Discipline of Business Analytics

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Updated February, 5 2013 465.484 documents processed, 11.198.332 references and 4.512.497 citations

Working Papers / University of Sydney Business School, Discipline of Business Analytics

Raw citation data, Main indicators, Most cited papers , cites used to compute the impact factor (2011), Recent citations and documents published in this series in EconPapers.

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Raw data:

	IF	AIF	DOC	CIT	D2Y	C2Y	SC(%)	CiY	II	AII
1990		0.09		0	0		0			0.04
1991		0.1		0	0		0			0.05
1992		0.09		0	0		0			0.05
1993		0.1		0	0		0			0.05
1994		0.12		0	0		0			0.04
1995		0.17		0	0		0			0.09
1996		0.2		0	0		0			0.09
1997		0.21		0	0		0			0.09
1998		0.22		0	0		0			0.13
1999		0.29		0	0		0			0.15
2000		0.4		0	0		0			0.15
2001		0.38		0	0		0			0.18
2002		0.41		0	0		0			0.2
2003		0.44		0	0		0			0.2
2004		0.46		0	0		0			0.2
2005		0.46		0	0		0			0.25
2006		0.49		0	0		0			0.22
2007		0.42		0	0		0			0.19
2008		0.43		0	0		0			0.19
2009		0.4	2	4	0		0			0.19
2010		0.33	2	0	2		0			0.16
2011	0.5	0.5	11	0	4	2	0			0.27

IF: Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for series in RePEc in year y
DOC: Number of documents published in year y
CIT: Number of citations to the series in year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
SC(%): Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y

Main indicators

Most cited documents in this series:

Year Title Cited
2009 Bayesian time-varying quantile forecasting for Value-at-Risk in financial markets
RePEc:syb:wpbsba:01/2009 [Citation Analysis] 4

Citing documents used to compute impact factor 2:

Year Title See
2011 Forecasting Value-at-Risk Using Nonlinear Regression Quantiles and the Intra-day Range
RePEc:ucm:doicae:1116 [Citation Analysis]
2011 Forecasting Value-at-Risk Using Nonlinear Regression Quantiles and the Intraday Range
RePEc:dgr:eureir:1765023795 [Citation Analysis]

Cites in year: CiY

Recent citations received in: 2009

Year	Title	See

Warning!! This is still an experimental service. The results of this service should be interpreted with care, especially in research assessment exercises. The processing of documents is automatic. There still are errors and omissions in the identification of references. We are working to improve the software to increase the accuracy of the results.

Source data used to compute the impact factor of RePEc series.

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