Citation analysis for Journal of Commodity Markets / Elsevier

Journal of Commodity Markets / Elsevier

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Impact Factor

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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		(%)			0.04
1991		0.09			0				0		0		(%)			0.04
1992		0.09			0				0		0		(%)			0.04
1993		0.1			0				0		0		(%)			0.05
1994		0.11			0				0		0		(%)			0.05
1995		0.2			0				0		0		(%)			0.07
1996		0.23			0				0		0		(%)			0.09
1997		0.27			0				0		0		(%)			0.09
1998		0.29			0				0		0		(%)			0.1
1999		0.32			0				0		0		(%)			0.13
2000		0.4			0				0		0		(%)			0.15
2001		0.4			0				0		0		(%)			0.15
2002		0.42			0				0		0		(%)			0.18
2003		0.44			0				0		0		(%)			0.19
2004		0.49			0				0		0		(%)			0.2
2005		0.53			0				0		0		(%)			0.21
2006		0.51			0				0		0		(%)			0.2
2007		0.45			0				0		0		(%)			0.18
2008		0.48			0				0		0		(%)			0.2
2009		0.47			0				0		0		(%)			0.19
2010		0.45			0				0		0		(%)			0.16
2011		0.52			0				0		0		(%)			0.2
2012		0.55			0				0		0		(%)			0.2
2013		0.62			0				0		0		(%)			0.22
2014		0.64			0				0		0		(%)			0.21
2015		0.69			0				0		0		(%)			0.22
2016		0.85		20	20	2	0.1	9	0		0		1 (11.1%)	2	0.1	0.26

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	2016	The impact of speculation on commodity futures markets â A review of the findings of 100 empirical studies. (2016). Zimmermann, Heinz ; Haase, Marco . In: Journal of Commodity Markets. RePEc:eee:jocoma:v:3:y:2016:i:1:p:1-15. Full description at Econpapers \|\| Download paper	2
2	2016	On the correlation between commodity and equity returns: Implications for portfolio allocation. (2016). Ravazzolo, Francesco ; Lombardi, Marco. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:2:y:2016:i:1:p:45-57. Full description at Econpapers \|\| Download paper	2
3	2016	The relationship between input-factor and output prices in commodity industries: The case of Norwegian salmon aquaculture. (2016). Oglend, Atle ; Asche, Frank . In: Journal of Commodity Markets. RePEc:eee:jocoma:v:1:y:2016:i:1:p:35-47. Full description at Econpapers \|\| Download paper	1
4	2016	The connectedness between crude oil and financial markets: Evidence from implied volatility indices. (2016). Aktham, Maghyereh ; Cherif, Guermat ; Awartani, Basel . In: Journal of Commodity Markets. RePEc:eee:jocoma:v:4:y:2016:i:1:p:56-69. Full description at Econpapers \|\| Download paper	1
5	2016	Natural gas storage valuation, optimization, market and credit risk management. (2016). Thompson, Matt . In: Journal of Commodity Markets. RePEc:eee:jocoma:v:2:y:2016:i:1:p:26-44. Full description at Econpapers \|\| Download paper	1
6	2016	Commodities common factor: An empirical assessment of the markets drivers. (2016). Posch, Peter N ; Lubbers, Johannes . In: Journal of Commodity Markets. RePEc:eee:jocoma:v:4:y:2016:i:1:p:28-40. Full description at Econpapers \|\| Download paper	1
7	2016	Increasing trends in the excess comovement of commodity prices. (2016). Ohashi, Kazuhiko ; Okimoto, Tatsuyoshi . In: Journal of Commodity Markets. RePEc:eee:jocoma:v:1:y:2016:i:1:p:48-64. Full description at Econpapers \|\| Download paper	1
8	2016	The dynamics of precious metal markets VaR: A GARCHEVT approach. (2016). Zhang, Zijing . In: Journal of Commodity Markets. RePEc:eee:jocoma:v:4:y:2016:i:1:p:14-27. 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	2016	The impact of speculation on commodity futures markets â A review of the findings of 100 empirical studies. (2016). Zimmermann, Heinz ; Haase, Marco . In: Journal of Commodity Markets. RePEc:eee:jocoma:v:3:y:2016:i:1:p:1-15. Full description at Econpapers \|\| Download paper	2
2	2016	On the correlation between commodity and equity returns: Implications for portfolio allocation. (2016). Ravazzolo, Francesco ; Lombardi, Marco. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:2:y:2016:i:1:p:45-57. Full description at Econpapers \|\| Download paper	2

Citing documents used to compute impact factor 0:

Year	Title

Recent citations (cites in year: CiY)

Recent citations received in 2016

Year	Citing document
2016	A tutorial on portfolio-based control algorithms for merchant energy trading operations. (2016). Secomandi, Nicola . In: Journal of Commodity Markets. RePEc:eee:jocoma:v:4:y:2016:i:1:p:1-13. Full description at Econpapers \|\| Download paper
2016	Common and Fundamental Risk Factors in Shareholder Returns of Norwegian Salmon Producing Companies. (2016). Misund, BÃÂ¥rd. In: UiS Working Papers in Economics and Finance. RePEc:hhs:stavef:2016_017. 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.