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  Updated Jun, 1 2012 364.619 documents processed, 8.178.370 references and 3.213.942 citations

 

  
 

Journal of the Royal Statistical Society Series B / Blackwell Publishers

Raw citation data, Main indicators, Most cited papers , cites used to compute the impact factor (2010), 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
19900.090000.04
19910.090000.05
19920.080000.04
19930.090000.05
19940.10000.05
19950.120000.06
19960.160000.08
19970.210000.08
19980.220000.09
19990.28571150040.070.13
20000.160.3752110579030.060.16
20010.060.384612610970140.30.16
20020.210.41452549821010.020.2
20030.220.43531459120020.040.2
20040.320.4953779831020.040.22
20050.20.52423810621010.020.24
20060.110.541509510010.020.23
20070.160.4245348313010.020.19
20080.130.4351288611050.10.21
20090.110.4347219611030.060.19
20100.130.3631109813040.130.15
 
 
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
IdI: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y

 

Main indicators

Most cited documents in this series:
YearTitleCited
2002Econometric analysis of realized volatility and its use in estimating stochastic volatility models
RePEc:bla:jorssb:v:64:y:2002:i:2:p:253-280 [Citation Analysis]		131
2001Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics
RePEc:bla:jorssb:v:63:y:2001:i:2:p:167-241 [Citation Analysis]		84
2002Bayesian measures of model complexity and fit
RePEc:bla:jorssb:v:64:y:2002:i:4:p:583-639 [Citation Analysis]		65
2003The identifiability of the mixed proportional hazards competing risks model
RePEc:bla:jorssb:v:65:y:2003:i:3:p:701-710 [Citation Analysis]		36
2000Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives
RePEc:bla:jorssb:v:62:y:2000:i:1:p:3-56 [Citation Analysis]		22
2003Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t-distribution
RePEc:bla:jorssb:v:65:y:2003:i:2:p:367-389 [Citation Analysis]		19
2002A direct approach to false discovery rates
RePEc:bla:jorssb:v:64:y:2002:i:3:p:479-498 [Citation Analysis]		13
2005Regularization and variable selection via the elastic net
RePEc:bla:jorssb:v:67:y:2005:i:2:p:301-320 [Citation Analysis]		12
1999Statistical applications of the multivariate skew normal distribution
RePEc:bla:jorssb:v:61:y:1999:i:3:p:579-602 [Citation Analysis]		12
2003Comprehensive definitions of breakdown points for independent and dependent observations
RePEc:bla:jorssb:v:65:y:2003:i:1:p:81-94 [Citation Analysis]		9
2000Mixture Kalman filters
RePEc:bla:jorssb:v:62:y:2000:i:3:p:493-508 [Citation Analysis]		9
2000Dealing with label switching in mixture models
RePEc:bla:jorssb:v:62:y:2000:i:4:p:795-809 [Citation Analysis]		8
2004Bayesian inference for non-Gaussian Ornstein-Uhlenbeck stochastic volatility processes
RePEc:bla:jorssb:v:66:y:2004:i:2:p:369-393 [Citation Analysis]		8
2003Adaptive varying-coefficient linear models
RePEc:bla:jorssb:v:65:y:2003:i:1:p:57-80 [Citation Analysis]		8
2007Probabilistic forecasts, calibration and sharpness
RePEc:bla:jorssb:v:69:y:2007:i:2:p:243-268 [Citation Analysis]		8
1999Intentionally biased bootstrap methods
RePEc:bla:jorssb:v:61:y:1999:i:1:p:143-158 [Citation Analysis]		8
1999Multivariate bandwidth selection for local linear regression
RePEc:bla:jorssb:v:61:y:1999:i:4:p:793-815 [Citation Analysis]		8
2001Estimating the number of clusters in a data set via the gap statistic
RePEc:bla:jorssb:v:63:y:2001:i:2:p:411-423 [Citation Analysis]		8
1999Missing covariates in generalized linear models when the missing data mechanism is non-ignorable
RePEc:bla:jorssb:v:61:y:1999:i:1:p:173-190 [Citation Analysis]		7
2006On parametric bootstrap methods for small area prediction
RePEc:bla:jorssb:v:68:y:2006:i:2:p:221-238 [Citation Analysis]		7
2003Inference for clusters of extreme values
RePEc:bla:jorssb:v:65:y:2003:i:2:p:545-556 [Citation Analysis]		7
2002Estimation of integrated squared density derivatives from a contaminated sample
RePEc:bla:jorssb:v:64:y:2002:i:4:p:869-886 [Citation Analysis]		7
2003An empirical likelihood goodness-of-fit test for time series
RePEc:bla:jorssb:v:65:y:2003:i:3:p:663-678 [Citation Analysis]		7
2002An adaptive estimation of dimension reduction space
RePEc:bla:jorssb:v:64:y:2002:i:3:p:363-410 [Citation Analysis]		7
2003A skew extension of the t-distribution, with applications
RePEc:bla:jorssb:v:65:y:2003:i:1:p:159-174 [Citation Analysis]		7
2000Semiparametric regression for the mean and rate functions of recurrent events
RePEc:bla:jorssb:v:62:y:2000:i:4:p:711-730 [Citation Analysis]		7
2003Optimal dynamic treatment regimes
RePEc:bla:jorssb:v:65:y:2003:i:2:p:331-355 [Citation Analysis]		7
1999Conformal normal curvature and assessment of local influence
RePEc:bla:jorssb:v:61:y:1999:i:1:p:51-61 [Citation Analysis]		7
2004Wavelet deconvolution in a periodic setting
RePEc:bla:jorssb:v:66:y:2004:i:3:p:547-573 [Citation Analysis]		6
1999Gibbs sampling for Bayesian non-conjugate and hierarchical models by using auxiliary variables
RePEc:bla:jorssb:v:61:y:1999:i:2:p:331-344 [Citation Analysis]		6
1999Semiparametric methods for response-selective and missing data problems in regression
RePEc:bla:jorssb:v:61:y:1999:i:2:p:413-438 [Citation Analysis]		6
2004Likelihood ratio tests in linear mixed models with one variance component
RePEc:bla:jorssb:v:66:y:2004:i:1:p:165-185 [Citation Analysis]		6
1999Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm
RePEc:bla:jorssb:v:61:y:1999:i:1:p:265-285 [Citation Analysis]		6
1999Inference in generalized additive mixed modelsby using smoothing splines
RePEc:bla:jorssb:v:61:y:1999:i:2:p:381-400 [Citation Analysis]		6
2005Good randomized sequential probability forecasting is always possible
RePEc:bla:jorssb:v:67:y:2005:i:5:p:747-763 [Citation Analysis]		6
2002Chain graph models and their causal interpretations
RePEc:bla:jorssb:v:64:y:2002:i:3:p:321-348 [Citation Analysis]		6
2009Finding an unknown number of multivariate outliers
RePEc:bla:jorssb:v:71:y:2009:i:2:p:447-466 [Citation Analysis]		6
2004Power transformations to induce normality and their applications
RePEc:bla:jorssb:v:66:y:2004:i:1:p:117-130 [Citation Analysis]		6
2000Regression analysis of panel count data with covariate-dependent observation and censoring times
RePEc:bla:jorssb:v:62:y:2000:i:2:p:293-302 [Citation Analysis]		5
2003Causal inference with generalized structural mean models
RePEc:bla:jorssb:v:65:y:2003:i:4:p:817-835 [Citation Analysis]		5
2004Testing for a finite mixture model with two components
RePEc:bla:jorssb:v:66:y:2004:i:1:p:95-115 [Citation Analysis]		5
2000Bayesian latent variable models for clustered mixed outcomes
RePEc:bla:jorssb:v:62:y:2000:i:2:p:355-366 [Citation Analysis]		5
2000Adaptive weights smoothing with applications to image restoration
RePEc:bla:jorssb:v:62:y:2000:i:2:p:335-354 [Citation Analysis]		5
2008Sure independence screening for ultrahigh dimensional feature space
RePEc:bla:jorssb:v:70:y:2008:i:5:p:849-911 [Citation Analysis]		5
2009Some asymptotic results on generalized penalized spline smoothing
RePEc:bla:jorssb:v:71:y:2009:i:2:p:487-503 [Citation Analysis]		5
2000Bootstrap confidence regions computed from autoregressions of arbitrary order
RePEc:bla:jorssb:v:62:y:2000:i:2:p:461-477 [Citation Analysis]		5
2007Bootstrapping clustered data
RePEc:bla:jorssb:v:69:y:2007:i:3:p:369-390 [Citation Analysis]		5
2000Modelling and smoothing parameter estimation with multiple quadratic penalties
RePEc:bla:jorssb:v:62:y:2000:i:2:p:413-428 [Citation Analysis]		5
2004Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
RePEc:bla:jorssb:v:66:y:2004:i:1:p:187-205 [Citation Analysis]		4
1999Understanding exponential smoothing via kernel regression
RePEc:bla:jorssb:v:61:y:1999:i:1:p:39-50 [Citation Analysis]		4

Citing documents used to compute impact factor 13:
YearTitleSee
2010Parsimonious Classification Via Generalized Linear Mixed Models
RePEc:spr:jclass:v:27:y:2010:i:1:p:89-110		[Citation Analysis]
2010Nonparametric estimation of mean and dispersion functions in extended generalized linear models
RePEc:spr:testjl:v:19:y:2010:i:3:p:580-608		[Citation Analysis]
2010A general science-based framework for dynamical spatio-temporal models
RePEc:spr:testjl:v:19:y:2010:i:3:p:417-451		[Citation Analysis]
2010Detecting atypical observations in financial data: the forward search for elliptical copulas
RePEc:spr:advdac:v:4:y:2010:i:4:p:287-299		[Citation Analysis]
2010A review of robust clustering methods
RePEc:spr:advdac:v:4:y:2010:i:2:p:89-109		[Citation Analysis]
2010Smoothing algorithms for state–space models
RePEc:spr:aistmt:v:62:y:2010:i:1:p:61-89		[Citation Analysis]
2010Bayesian model-based tight clustering for time course data
RePEc:spr:compst:v:25:y:2010:i:1:p:17-38		[Citation Analysis]
2010Decomposition of the environmental Kuznets curve: scale, technique, and composition effects
RePEc:spr:envpol:v:11:y:2010:i:1:p:19-36		[Citation Analysis]
2010The Role of Additional Information in Option Pricing: Estimation Issues for the State Space Model
RePEc:kap:compec:v:36:y:2010:i:4:p:283-307		[Citation Analysis]
2010Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna
RePEc:kap:jrefec:v:41:y:2010:i:4:p:390-411		[Citation Analysis]
2010? 1-penalization for mixture regression models
RePEc:spr:testjl:v:19:y:2010:i:2:p:209-256		[Citation Analysis]
2010Regularization Paths for Generalized Linear Models via Coordinate Descent
RePEc:jss:jstsof:33:i01		[Citation Analysis]
2010A review of robust clustering methods
RePEc:spr:advdac:v:4:y:2010:i:2:p:89-109		[Citation Analysis]

Cites in year: CiY

Recent citations received in: 2010

YearTitleSee
2010Moment Priors for Bayesian Model Choice with Applications to Directed Acyclic Graphs
RePEc:pav:wpaper:115		[Citation Analysis]
2010Moment Priors for Bayesian Model Choice with Applications to Directed Acyclic Graphs
RePEc:pav:wpaper:238		[Citation Analysis]
2010Enhanced Objective Bayesian Testing for the Equality of two Proportions
RePEc:pav:wpaper:248		[Citation Analysis]
2010A general science-based framework for dynamical spatio-temporal models
RePEc:spr:testjl:v:19:y:2010:i:3:p:417-451		[Citation Analysis]

Recent citations received in: 2009

YearTitleSee
2009Simultaneous Confidence Bands for Penalized Spline Estimators
RePEc:got:gotcrc:012		[Citation Analysis]
2009New robust dynamic plots for regression mixture detection
RePEc:spr:advdac:v:3:y:2009:i:3:p:263-279		[Citation Analysis]
2009Comments on: A review on empirical likelihood methods for regression
RePEc:spr:testjl:v:18:y:2009:i:3:p:448-451		[Citation Analysis]

Recent citations received in: 2008

YearTitleSee
2008A multivariate generalized independent factor GARCH model with an application to financial stock returns
RePEc:cte:wsrepe:ws087528		[Citation Analysis]
2008Marriage formation as a process intermediary between migration and childbearing
RePEc:dem:demres:v:18:y:2008:i:21		[Citation Analysis]
2008Marriage formation as a process intermediary between migration and childbearing
RePEc:dem:wpaper:wp-2008-015		[Citation Analysis]
2008Least angle regression for time series forecasting with many predictors.
RePEc:ner:leuven:urn:hdl:123456789/164224		[Citation Analysis]
2008Real Time Detection of Structural Breaks in GARCH Models
RePEc:tor:tecipa:tecipa-336		[Citation Analysis]

Recent citations received in: 2007

YearTitleSee
2007Nonparametric Regression Density Estimation Using Smoothly Varying Normal Mixtures
RePEc:hhs:rbnkwp:0211		[Citation Analysis]

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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