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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:

The predictive power of Google searches in forecasting US unemployment
Francesco D’Amuri, Juri Marcucci
International Journal of Forecasting (2017) Vol. 33, Iss. 4, pp. 801-816
Closed Access | Times Cited: 237

Showing 1-25 of 237 citing articles:

In crisis, we pray: Religiosity and the COVID-19 pandemic
Jeanet Bentzen
Journal of Economic Behavior & Organization (2021) Vol. 192, pp. 541-583
Open Access | Times Cited: 376
Long- and Short-Term Cryptocurrency Volatility Components: A GARCH-MIDAS Analysis
Christian Conrad, Anessa Custovic, Éric Ghysels
Journal of risk and financial management (2018) Vol. 11, Iss. 2, pp. 23-23
Open Access | Times Cited: 237
Google It Up! A Google Trends-based Uncertainty index for the United States and Australia
Efrem Castelnuovo, Trung Duc Tran
Economics Letters (2017) Vol. 161, pp. 149-153
Open Access | Times Cited: 113
Computational socioeconomics
Jian Gao, Yi‐Cheng Zhang, Tao Zhou
Physics Reports (2019) Vol. 817, pp. 1-104
Open Access | Times Cited: 100
Searching for a better life: Predicting international migration with online search keywords
Marcus Böhme, André Gröger, Tobias Stöhr
Journal of Development Economics (2019) Vol. 142, pp. 102347-102347
Open Access | Times Cited: 96
Combining official and Google Trends data to forecast the Italian youth unemployment rate
Alessia Naccarato, Stefano Falorsi, Silvia Loriga, et al.
Technological Forecasting and Social Change (2017) Vol. 130, pp. 114-122
Closed Access | Times Cited: 94
Winners and Losers from COVID-19: Global Evidence from Google Search
Kibrom A. Abay, Kibrom Tafere, Andinet Woldemichael
World Bank, Washington, DC eBooks (2020)
Open Access | Times Cited: 88
In Search of a Job: Forecasting Employment Growth Using Google Trends
Daniel Borup, Erik Christian Montes Schütte
Journal of Business and Economic Statistics (2020) Vol. 40, Iss. 1, pp. 186-200
Open Access | Times Cited: 77
Economic sentiment during the COVID pandemic: Evidence from search behaviour in the EU
Wouter van der Wielen, Salvador Barrios
Journal of Economics and Business (2020) Vol. 115, pp. 105970-105970
Open Access | Times Cited: 71
Making text count: Economic forecasting using newspaper text
Eleni Kalamara, Arthur Turrell, Chris Redl, et al.
Journal of Applied Econometrics (2022) Vol. 37, Iss. 5, pp. 896-919
Open Access | Times Cited: 48
Real-Time Identification and High-Frequency Analysis of Deposits Outflows
Edoardo Rainone
Journal of Financial Econometrics (2023) Vol. 22, Iss. 4, pp. 868-907
Closed Access | Times Cited: 30
Google Trends and reality: Do the proportions match?
Boriss Siliverstovs, Daniel Wochner
Journal of Economic Behavior & Organization (2017) Vol. 145, pp. 1-23
Closed Access | Times Cited: 85
How natural disasters can affect environmental concerns, risk aversion, and even politics: evidence from Fukushima and three European countries
Jan Goebel, Christian Krekel, Tim Tiefenbach, et al.
Journal of Population Economics (2015) Vol. 28, Iss. 4, pp. 1137-1180
Closed Access | Times Cited: 82
Nowcasting of the U.S. unemployment rate using Google Trends
Shintaro Nagao, Fumiko Takeda, Riku Tanaka
Finance research letters (2019) Vol. 30, pp. 103-109
Closed Access | Times Cited: 60
Information Search and Financial Markets under COVID-19
Behzod B. Ahundjanov, Sherzod B. Akhundjanov, Botir B. Okhunjanov
Entropy (2020) Vol. 22, Iss. 7, pp. 791-791
Open Access | Times Cited: 56
Obtaining consistent time series from Google Trends
Vera Z. Eichenauer, Ronald Indergand, Isabel Z. Martínez, et al.
Economic Inquiry (2021) Vol. 60, Iss. 2, pp. 694-705
Open Access | Times Cited: 54
Forecasting sales using online review and search engine data: A method based on PCA–DSFOA–BPNN
Chuan Zhang, Yu‐Xin Tian, Zhi‐Ping Fan
International Journal of Forecasting (2021) Vol. 38, Iss. 3, pp. 1005-1024
Closed Access | Times Cited: 51
Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?
Lu Wang, Jiangbin Wu, Yang Cao, et al.
Energy Economics (2022) Vol. 111, pp. 106056-106056
Closed Access | Times Cited: 38
Metro passenger flow forecasting though multi-source time-series fusion: An ensemble deep learning approach
Hongtao Li, Kun Jin, Shaolong Sun, et al.
Applied Soft Computing (2022) Vol. 120, pp. 108644-108644
Closed Access | Times Cited: 31
Using Google searches of firm products to detect revenue management
Peng‐Chia Chiu, Siew Hong Teoh, Yinglei Zhang, et al.
Accounting Organizations and Society (2023) Vol. 109, pp. 101457-101457
Open Access | Times Cited: 17
Demand forecasting with user-generated online information
Oliver Schaer, Nikolaos Kourentzes, Robert Fildes
International Journal of Forecasting (2018) Vol. 35, Iss. 1, pp. 197-212
Open Access | Times Cited: 57
Open Humans: A platform for participant-centered research and personal data exploration
Bastian Greshake Tzovaras, Misha Angrist, Kevin J. Arvai, et al.
GigaScience (2019) Vol. 8, Iss. 6
Open Access | Times Cited: 54
Google data in bridge equation models for German GDP
Thomas Götz, Thomas Knetsch
International Journal of Forecasting (2018) Vol. 35, Iss. 1, pp. 45-66
Open Access | Times Cited: 51
Improving unemployment rate forecasts at regional level in Romania using Google Trends
Simionescu Mihaela
Technological Forecasting and Social Change (2020) Vol. 155, pp. 120026-120026
Closed Access | Times Cited: 49
Innovative Approaches in Sports Science—Lexicon-Based Sentiment Analysis as a Tool to Analyze Sports-Related Twitter Communication
Fabian Wunderlich, Daniel Memmert
Applied Sciences (2020) Vol. 10, Iss. 2, pp. 431-431
Open Access | Times Cited: 46
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