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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:

Measuring Real Activity Using a Weekly Economic Index
Daniel Lewis, Karel Mertens, James H. Stock, et al.
Federal Reserve Bank of Dallas, Working Papers (2021) Vol. 2020, Iss. 2011
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

The power of text-based indicators in forecasting Italian economic activity
Valentina Aprigliano, Simone Emiliozzi, Gabriele Guaitoli, et al.
International Journal of Forecasting (2022) Vol. 39, Iss. 2, pp. 791-808
Open Access | Times Cited: 59
Web-scraping housing prices in real-time: The Covid-19 crisis in the UK
Jean‐Charles Bricongne, Baptiste Meunier, Sylvain Pouget
Journal of Housing Economics (2022) Vol. 59, pp. 101906-101906
Open Access | Times Cited: 27
Central bank responses to COVID-19
Patricia C. Mosser
Business Economics (2020) Vol. 55, Iss. 4, pp. 191-201
Open Access | Times Cited: 47
Weekly economic activity: Measurement and informational content
Philipp Wegmüller, Christian Glocker, Valentino Guggia
International Journal of Forecasting (2021) Vol. 39, Iss. 1, pp. 228-243
Open Access | Times Cited: 14
Nowcasting GDP - A Scalable Approach Using DFM, Machine Learning and Novel Data, Applied to European Economies
Jean-Francois Dauphin, Marzie Taheri Sanjani, Nujin Suphaphiphat, et al.
IMF Working Paper (2022) Vol. 2022, Iss. 052, pp. 1-1
Open Access | Times Cited: 7
High-Frequency Data and a Weekly Economic Index during the Pandemic
Daniel Lewis, Karel Mertens, James H. Stock, et al.
AEA Papers and Proceedings (2021) Vol. 111, pp. 326-330
Open Access | Times Cited: 10
Tracking weekly state-level economic conditions
Christiane Baumeister, Danilo Leiva‐León, Eric Sims
SSRN Electronic Journal (2021)
Open Access | Times Cited: 9
Economic analysis using higher-frequency time series: challenges for seasonal adjustment
Daniel Ollech, Deutsche Bundesbank
Empirical Economics (2022)
Open Access | Times Cited: 6
Identifying Optimal Indicators and Lag Terms for Nowcasting Models
Jing Xie
IMF Working Paper (2023) Vol. 2023, Iss. 045, pp. 1-1
Open Access | Times Cited: 3
NOWCASTING ‘TRUE’ MONTHLY U.S. GDP DURING THE PANDEMIC
Gary Koop, Stuart McIntyre, James Mitchell, et al.
National Institute Economic Review (2021) Vol. 256, pp. 44-70
Open Access | Times Cited: 7
Dynamic factor models: Does the specification matter?
Karen Miranda, Pilar Poncela, Esther Ruiz
SERIEs (2021) Vol. 13, Iss. 1-2, pp. 397-428
Open Access | Times Cited: 7
Forecasting low‐frequency macroeconomic events with high‐frequency data
Ana Beatriz Galvão, Michael T. Owyang
Journal of Applied Econometrics (2022) Vol. 37, Iss. 7, pp. 1314-1333
Open Access | Times Cited: 5
Forecasting turning points of the Russian economic cycle with leading indicators
Sergey V. Smirnov, E. B. Oleynik, S.S. Kovalenko
Voprosy Ekonomiki (2023), Iss. 10, pp. 75-97
Closed Access | Times Cited: 2
High Frequency Data and a Weekly Economic Index during the Pandemic
Daniel Lewis, Karel Mertens, James H. Stock, et al.
SSRN Electronic Journal (2020)
Open Access | Times Cited: 5
GDP Solera: The Ideal Vintage Mix
Martín Almuzara, Dante Amengual, Gabriele Fiorentini, et al.
Journal of Business and Economic Statistics (2024) Vol. 42, Iss. 3, pp. 984-997
Open Access
Business forecasting during the pandemic
John O’Trakoun
Business Economics (2022) Vol. 57, Iss. 3, pp. 95-110
Open Access | Times Cited: 3
The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes
Jonas Arias, Jesús Fernández‐Villaverde, Juan Francisco Rubio-Ramı́rez, et al.
(2021)
Open Access | Times Cited: 4
Review of Macroeconomic Modelling in the Eurosystem: Current Practices and Scope for Improvement
Matthieu Darracq Pariès, Alessandro Notarpietro, Juha Kilponen, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 3
Forecasting Italian GDP Growth with Epidemiological Data
Valentina Aprigliano, Alessandro Borin, Francesco Paolo Conteduca, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 3
The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes
Arias Jonas, Jesus Fernández Villaverde, Juan Francisco Rubio-Ramı́rez, et al.
Working paper (2022)
Open Access | Times Cited: 2
A Weekly Structural VAR Model of the US Crude Oil Market
Andrea Bastianin, Matteo Manera, Daniele Valenti
SSRN Electronic Journal (2022)
Open Access | Times Cited: 1
Multi-Level Nowcasting: Estimation in a Post-COVID Landscape
Erin Lacey King, Stephan Weiler, Eric Stewart, et al.
Economies (2022) Vol. 10, Iss. 8, pp. 194-194
Open Access | Times Cited: 1
COVID-19 and Seasonal Adjustment
Barend Abeln, Jan Jacobs
SSRN Electronic Journal (2021)
Open Access | Times Cited: 1
The Usefulness of High-Frequency Alternative Data to Obtain Nowcasts for Japan’s GDP: Evidence from Credit Card Data
Satoshi Urasawa
Journal of Business Cycle Research (2023) Vol. 19, Iss. 2, pp. 191-211
Closed Access
Big data financial transactions and GDP nowcasting: The case of Turkey
Ali B. Barlas, Seda Guler Mert, Berk Orkun Isa, et al.
Journal of Forecasting (2023) Vol. 43, Iss. 2, pp. 227-248
Open Access
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