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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:

Nowcasting US GDP: The role of ISM business surveys
Kajal Lahiri, George Monokroussos
International Journal of Forecasting (2012) Vol. 29, Iss. 4, pp. 644-658
Closed Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

Macroeconomic Nowcasting and Forecasting with Big Data
Brandyn Bok, Daniele Caratelli, Domenico Giannone, et al.
Annual Review of Economics (2018) Vol. 10, Iss. 1, pp. 615-643
Open Access | Times Cited: 161
Forecasting US recessions: The role of sentiment
Charlotte Christiansen, Jonas N. Eriksen, Stig V. Møller
Journal of Banking & Finance (2014) Vol. 49, pp. 459-468
Closed Access | Times Cited: 102
EUROMIND: A Monthly Indicator of the Euro Area Economic Conditions
Cecilia Frale, Massimiliano Marcellino, Gian Luigi Mazzi, et al.
Journal of the Royal Statistical Society Series A (Statistics in Society) (2010) Vol. 174, Iss. 2, pp. 439-470
Closed Access | Times Cited: 96
Forecasting Consumption: the Role of Consumer Confidence in Real Time with many Predictors
Kajal Lahiri, George Monokroussos, Yongchen Zhao
Journal of Applied Econometrics (2015) Vol. 31, Iss. 7, pp. 1254-1275
Open Access | Times Cited: 81
Determinants of Consumer Sentiment Over Business Cycles: Evidence from the US Surveys of Consumers
Kajal Lahiri, Yongchen Zhao
Journal of Business Cycle Research (2016) Vol. 12, Iss. 2, pp. 187-215
Open Access | Times Cited: 52
Mobility-based real-time economic monitoring amid the COVID-19 pandemic
Alessandro Spelta, Paolo Pagnottoni
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 40
A dynamic factor model for nowcasting Canadian GDP growth
Tony Chernis, Rodrigo Sekkel
Empirical Economics (2017) Vol. 53, Iss. 1, pp. 217-234
Closed Access | Times Cited: 48
Now-casting the Japanese economy
Daniela Bragoli
International Journal of Forecasting (2017) Vol. 33, Iss. 2, pp. 390-402
Closed Access | Times Cited: 41
Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms
Qin Zhang, Ni He, Xu Hao
Economic Modelling (2023) Vol. 122, pp. 106204-106204
Closed Access | Times Cited: 11
Nowcasting Monthly Chinese GDP with Mixed Frequency Data: A Model Averaging Approach
S. Zhang, Zhuoya Li, Liang Jing, et al.
Computational Economics (2025)
Closed Access
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
Future directions in nowcasting economic activity: A systematic literature review
Alina Stundžienė, Vaida Pilinkienė, Jurgita Bruneckienė, et al.
Journal of Economic Surveys (2023) Vol. 38, Iss. 4, pp. 1199-1233
Closed Access | Times Cited: 10
Back to the present: Learning about the euro area through a now-casting model
Danilo Cascaldi-Garcia, Thiago R.T. Ferreira, Domenico Giannone, et al.
International Journal of Forecasting (2023) Vol. 40, Iss. 2, pp. 661-686
Open Access | Times Cited: 9
Forecasting and nowcasting economic growth in the euro area using factor models
Irma Hindrayanto, Siem Jan Koopman, Jasper de Winter
International Journal of Forecasting (2016) Vol. 32, Iss. 4, pp. 1284-1305
Closed Access | Times Cited: 24
A three-frequency dynamic factor model for nowcasting Canadian provincial GDP growth
Tony Chernis, Calista Cheung, Gabriella Velasco
International Journal of Forecasting (2020) Vol. 36, Iss. 3, pp. 851-872
Closed Access | Times Cited: 23
Container freight rate forecasting with improved accuracy by integrating soft facts from practitioners
Hans‐Joachim Schramm, Ziaul Haque Munim
Research in Transportation Business & Management (2021) Vol. 41, pp. 100662-100662
Open Access | Times Cited: 19
A MACHINE LEARNING APPROACH TO GDP NOWCASTING: AN EMERGING MARKET EXPERIENCE
Saurabh Ghosh, Abhishek Ranjan
Bulletin of Monetary Economics and Banking (2023) Vol. 26, pp. 33-54
Open Access | Times Cited: 7
Can U.S. macroeconomic indicators forecast cryptocurrency volatility?
Kae‐Yih Tzeng, Yi-Kai Su
The North American Journal of Economics and Finance (2024) Vol. 74, pp. 102224-102224
Closed Access | Times Cited: 2
Nowcasting Czech GDP in real time
Marek Rusnák
Economic Modelling (2016) Vol. 54, pp. 26-39
Open Access | Times Cited: 21
The role of indicator selection in nowcasting euro-area GDP in pseudo-real time
Alessandro Girardi, Roberto Golinelli, Carmine Pappalardo
Empirical Economics (2016) Vol. 53, Iss. 1, pp. 79-99
Closed Access | Times Cited: 20
Monitoring and forecasting COVID-19 impacts on hotel occupancy rates with daily visitor arrivals and search queries
Edmond H. C. Wu, Jihao Hu, R.-S. Chen
Current Issues in Tourism (2021) Vol. 25, Iss. 3, pp. 490-507
Closed Access | Times Cited: 17
Leading indicators for the US housing market: New empirical evidence and thoughts about implications for risk managers and ESG investors
Tobias Basse, Steven Desmyter, Danilo Saft, et al.
International Review of Financial Analysis (2023) Vol. 89, pp. 102765-102765
Closed Access | Times Cited: 6
Business tendency surveys and macroeconomic fluctuations
Daniel Kaufmann, Rolf Scheufele
International Journal of Forecasting (2017) Vol. 33, Iss. 4, pp. 878-893
Open Access | Times Cited: 21
The importance of updating
Daniela Bragoli, Luca Metelli, Michèle Modugno
OECD Journal Journal of Business Cycle Measurement and Analysis (2015) Vol. 2015, Iss. 1, pp. 5-22
Closed Access | Times Cited: 20
Real-time GDP forecasting for Japan: A dynamic factor model approach
Satoshi Urasawa
Journal of the Japanese and International Economies (2014) Vol. 34, pp. 116-134
Closed Access | Times Cited: 19
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