Citation analysis for Payne Institute Policy Briefs / Colorado School of Mines, Division of Economics and Business

Payne Institute Policy Briefs / Colorado School of Mines, Division of Economics and Business

0.27

Impact Factor

0.27

5-Years IF

5-Years H index

[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ]
[more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators

Raw data

	IF	AIF	IF5	DOC	CDO	CCU	CIF	CIT	D2Y	C2Y	D5Y	C5Y	%SC	CiY	II	AII
1990		0.1			0				0		0		(%)			0.06
1991		0.09			0				0		0		(%)			0.04
1992		0.1			0				0		0		(%)			0.05
1993		0.13			0				0		0		(%)			0.06
1994		0.14			0				0		0		(%)			0.06
1995		0.17			0				0		0		(%)			0.11
1996		0.22			0				0		0		(%)			0.1
1997		0.22			0				0		0		(%)			0.09
1998		0.24			0				0		0		(%)			0.13
1999		0.3			0				0		0		(%)			0.16
2000		0.37			0				0		0		(%)			0.14
2001		0.37			0				0		0		(%)			0.17
2002		0.37			0				0		0		(%)			0.18
2003		0.4			0				0		0		(%)			0.19
2004		0.41			0				0		0		(%)			0.18
2005		0.43			0				0		0		(%)			0.21
2006		0.44			0				0		0		(%)			0.19
2007		0.37			0				0		0		(%)			0.17
2008		0.39			0				0		0		(%)			0.17
2009		0.36			0				0		0		(%)			0.17
2010		0.34			0				0		0		(%)			0.15
2011		0.41			0				0		0		(%)			0.2
2012		0.45			0				0		0		(%)			0.21
2013		0.5			0				0		0		(%)			0.2
2014		0.55			0				0		0		(%)			0.25
2015		0.57		11	11	1	0.09	6	0		0		(%)	1	0.09	0.26
2016	0.27	0.66	0.27	1	12	4	0.33	1	11	3	11	3	(%)	1	1	0.34

IF:	Impact Factor: C2Y / D2Y
AIF:	Average Impact Factor for series in RePEc in year y
IF5:	Impact Factor: C5Y / D5Y
DOC:	Number of documents published in year y
CDO:	Cumulative number of documents published until year y
CCU:	Cumulative number of citations to papers published until year y
CIF:	Cumulative impact factor
CIT:	Number of citations to papers published 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
D5Y:	Number of articles published in y-1 until y-5
C5Y:	Cites in y to articles published in y-1 until y-5
%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

50 most cited documents in this series:

#	Year	Title	Cited
1	2015	Determining the Success of Carbon Capture and Storage Projects (Payne Institute Policy Brief). (2015). Lange, Ian ; Thronicker, Dominique . In: Payne Institute Policy Briefs. RePEc:mns:pbrief:wp2014-14. Full description at Econpapers \|\| Download paper	2
2	2015	Why Have Greenhouse Emissions in RGGI States Declined? An Econometric Attribution to Economic, Energy Market and Policy Factors (Payne Institute Policy Brief). (2015). Maniloff, Peter ; Murray, Brian C. In: Payne Institute Policy Briefs. RePEc:mns:pbrief:wp2014-04. Full description at Econpapers \|\| Download paper	2
3	2015	Optimal environmental border adjustments under the General Agreement on Tariffs and Trade (Payne Institute Policy Brief). (2015). Yonezawa, Hidemichi ; Kaffine, Daniel ; Balistreri, Edward. In: Payne Institute Policy Briefs. RePEc:mns:pbrief:wp2014-03. Full description at Econpapers \|\| Download paper	1
4	2016	The Supply-side Effects of Energy Efficiency Labels (Payne Institute Policy Brief). (2016). Moro, Mirko ; Lange, Ian ; Comerford, David. In: Payne Institute Policy Briefs. RePEc:mns:pbrief:wp2016-01. Full description at Econpapers \|\| Download paper	1
5	2015	Bribes, Bureaucracies and Blackouts: Towards Understanding How Corruption at the Firm Level Impacts Electricity Reliability (Payne Institute Policy Brief). (2015). Fell, Harrison . In: Payne Institute Policy Briefs. RePEc:mns:pbrief:wp2015-10. Full description at Econpapers \|\| Download paper	1

50 most relevant documents in this series (papers most cited in the last two years)

#	Year	Title	Cited
1	2015	Why Have Greenhouse Emissions in RGGI States Declined? An Econometric Attribution to Economic, Energy Market and Policy Factors (Payne Institute Policy Brief). (2015). Maniloff, Peter ; Murray, Brian C. In: Payne Institute Policy Briefs. RePEc:mns:pbrief:wp2014-04. Full description at Econpapers \|\| Download paper	2
2	2015	Determining the Success of Carbon Capture and Storage Projects (Payne Institute Policy Brief). (2015). Lange, Ian ; Thronicker, Dominique . In: Payne Institute Policy Briefs. RePEc:mns:pbrief:wp2014-14. Full description at Econpapers \|\| Download paper	2

Citing documents used to compute impact factor 3:

Year	Title
2016	Community-Managed Forests and Household Welfare: Empirical Evidence from Nepal. (2016). Paudel, Jayash . In: 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts. RePEc:ags:aaea16:235481. Full description at Econpapers \|\| Download paper
2016	Carbon Prices and Fuel Switching: A Quasi-experiment in Electricity Markets. (2016). Huang, Ling ; Zhou, Yishu . In: 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts. RePEc:ags:aaea16:236179. Full description at Econpapers \|\| Download paper
2016	Optimal timing of carbon capture policies under learning-by-doing. (2016). Moreaux, Michel ; amigues, jean-pierre ; Lafforgue, Gilles . In: Journal of Environmental Economics and Management. RePEc:eee:jeeman:v:78:y:2016:i:c:p:20-37. Full description at Econpapers \|\| Download paper

Recent citations (cites in year: CiY)

Recent citations received in 2015

Year	Citing document
2015	Optimal Timing of Carbon Capture Policies under Learning-by-doing. (2015). Moreaux, Michel ; Lafforgue, Gilles ; amigues, jean-pierre. In: Working Papers. RePEc:fae:wpaper:2015.20. Full description at Econpapers \|\| Download paper

10 most frequent citing series

#		Series	Cites

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.