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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Forecasting national activity using lots of international predictors: An application to New Zealand
Sandra Eickmeier, Tim Ng
International Journal of Forecasting (2010) Vol. 27, Iss. 2, pp. 496-511
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

How do US credit supply shocks propagate internationally? A GVAR approach
Sandra Eickmeier, Tim Ng
European Economic Review (2014) Vol. 74, pp. 128-145
Closed Access | Times Cited: 171
Nowcasting GDP using machine-learning algorithms: A real-time assessment
Adam Richardson, Thomas van Florenstein Mulder, Tuğrul Vehbi
International Journal of Forecasting (2020) Vol. 37, Iss. 2, pp. 941-948
Closed Access | Times Cited: 75
Predicting Exchange Rates Out of Sample: Can Economic Fundamentals Beat the Random Walk?
J. Li, Ilias Tsiakas, Wenbin Wang
Journal of Financial Econometrics (2014) Vol. 13, Iss. 2, pp. 293-341
Open Access | Times Cited: 89
Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes
Oğuzhan Çepni, İbrahim Ethem Güney, Norman R. Swanson
International Journal of Forecasting (2019) Vol. 35, Iss. 2, pp. 555-572
Closed Access | Times Cited: 49
Forecasting GDP at the Regional Level with Many Predictors
Robert Lehmann, Klaus Wohlrabe
German Economic Review (2013) Vol. 16, Iss. 2, pp. 226-254
Open Access | Times Cited: 52
Nowcasting New Zealand GDP using machine learning algorithms
Adam Richardson, Thomas van Florenstein Mulder, Tugru l Vehbi
SSRN Electronic Journal (2018)
Open Access | Times Cited: 44
Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting
Julieta Fuentes, Pilar Poncela, Julio Rodríguez
Journal of Applied Econometrics (2014) Vol. 30, Iss. 4, pp. 576-595
Closed Access | Times Cited: 39
Macroeconomic forecasting for Australia using a large number of predictors
Anastasios Panagiotelis, George Athanasopoulos, Rob Hyndman, et al.
International Journal of Forecasting (2019) Vol. 35, Iss. 2, pp. 616-633
Open Access | Times Cited: 35
A multi-country approach to forecasting output growth using PMIs
Alexander Chudík, Valerie Aarne Grossman, M. Hashem Pesaran
Journal of Econometrics (2016) Vol. 192, Iss. 2, pp. 349-365
Open Access | Times Cited: 32
Thinking outside the container: A sparse partial least squares approach to forecasting trade flows
Vincent Stamer
International Journal of Forecasting (2024) Vol. 40, Iss. 4, pp. 1336-1358
Open Access | Times Cited: 3
The predictive content of financial cycle measures for output fluctuations 1
Tim Ng
SSRN Electronic Journal (2011)
Closed Access | Times Cited: 32
Forecasting regional GDP with factor models: How useful are national and international data?
Alexandre Kopoin, Kevin Moran, Jean-Pierre Paré
Economics Letters (2013) Vol. 121, Iss. 2, pp. 267-270
Closed Access | Times Cited: 30
The Coming Rise in Residential Inflation
Marijn Bolhuis, Judd Cramer, Lawrence H. Summers
Review of Finance (2022) Vol. 26, Iss. 5, pp. 1051-1072
Open Access | Times Cited: 12
A medium-N approach to macroeconomic forecasting
Gianluca Cubadda, Barbara Guardabascio
Economic Modelling (2012) Vol. 29, Iss. 4, pp. 1099-1105
Open Access | Times Cited: 23
Unemployment expectations: A socio-demographic analysis of the effect of news
Petar Sorić, Ivana Lolić, Oscar Clavería, et al.
Labour Economics (2019) Vol. 60, pp. 64-74
Open Access | Times Cited: 18
Predicting Exchange Rates Out of Sample: Can Economic Fundamentals Beat the Random Walk?
Jiahan Li, Ilias Tsiakas, Wei Wang
SSRN Electronic Journal (2014)
Open Access | Times Cited: 14
Economic sentiment and business cycles: A spillover methodology approach
Mirjana Čižmešija, Tihana Škrinjarić
Economic Systems (2021) Vol. 45, Iss. 3, pp. 100770-100770
Closed Access | Times Cited: 12
Estimating GVAR weight matrices
Marco Gross
Spatial Economic Analysis (2018) Vol. 14, Iss. 2, pp. 219-240
Open Access | Times Cited: 13
Predictor Preselection for Mixed‐Frequency Dynamic Factor Models: A Simulation Study With an Empirical Application to GDP Nowcasting
Domenic Franjic, Karsten Schweikert
Journal of Forecasting (2024)
Open Access | Times Cited: 1
Predicting Recessions with Factor Linear Dynamic Harmonic Regressions
Marcos Bujosa, Antonio Garcı́a-Ferrer, Aranzazu de Juan Fernández
Journal of Forecasting (2013) Vol. 32, Iss. 6, pp. 481-499
Open Access | Times Cited: 12
Forecasting Brazilian Inflation Using a Large Data Set
Francisco Marcos Rodrigues Figueiredo
RePEc: Research Papers in Economics (2010)
Closed Access | Times Cited: 10
Factor Augmented Vector Autoregressions, Panel VARs, and Global VARs
Martin Feldkircher, Florian Huber, Michael Pfarrhofer
Advanced studies in theoretical and applied econometrics (2019), pp. 65-93
Closed Access | Times Cited: 9
The decoupling of government sentiment and the macroeconomy in a highly polarised political setting
Petar Sorić, Andrija Henjak, Mirjana Čižmešija
East European Politics (2023) Vol. 39, Iss. 3, pp. 523-553
Closed Access | Times Cited: 3
The Coming Rise in Residential Inflation
Marijn Bolhuis, Judd N. Cramer, Lawrence H. Summers
(2022)
Open Access | Times Cited: 5
Nowcasting and Forecasting GDP in Emerging Markets Using Global Financial and Macroeconomic Diffusion Indexes
Oğuzhan Çepni, İbrahim Ethem Güney, Norman R. Swanson
SSRN Electronic Journal (2018)
Closed Access | Times Cited: 7
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