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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 26-50 of 237 citing articles:

Google trends and the predictability of precious metals
Afees A. Salisu, Ahamuefula E. Ogbonna, Adeolu O. Adewuyi
Resources Policy (2019) Vol. 65, pp. 101542-101542
Closed Access | Times Cited: 43
Stock‐induced Google trends and the predictability of sectoral stock returns
Afees A. Salisu, Ahamuefula E. Ogbonna, Idris A. Adediran
Journal of Forecasting (2020) Vol. 40, Iss. 2, pp. 327-345
Closed Access | Times Cited: 42
Nowcasting unemployment insurance claims in the time of COVID-19
William D. Larson, Tara M. Sinclair
International Journal of Forecasting (2021) Vol. 38, Iss. 2, pp. 635-647
Open Access | Times Cited: 37
Political activity in social media induces forest fires in the Brazilian Amazon
Marco Antônio Leonel Caetano
Technological Forecasting and Social Change (2021) Vol. 167, pp. 120676-120676
Closed Access | Times Cited: 36
Search and Predictability of Prices in the Housing Market
Stig V. Møller, Thomas Pedersen, Erik Christian Montes Schütte, et al.
Management Science (2023) Vol. 70, Iss. 1, pp. 415-438
Closed Access | Times Cited: 16
Asymmetric impact of economic policy uncertainty on cryptocurrency market: Evidence from NARDL approach
Simran Simran, Anil Kumar Sharma
The Journal of Economic Asymmetries (2023) Vol. 27, pp. e00298-e00298
Closed Access | Times Cited: 16
Macroeconomic Impact of Environmental Policy Uncertainty and Monetary Policy Implications
Bihong Huang, María Teresa Punzi
Journal of Climate Finance (2024) Vol. 7, pp. 100040-100040
Closed Access | Times Cited: 5
When Are Google Data Useful to Nowcast Gdp? An Approach Via Pre-Selection and Shrinkage
Laurent Ferrara, Anna Simoni
SSRN Electronic Journal (2019)
Open Access | Times Cited: 40
Forecasting the unemployment rate using the degree of agreement in consumer unemployment expectations
Oscar Clavería
Journal for Labour Market Research (2019) Vol. 53, Iss. 1
Open Access | Times Cited: 39
Fear of hazards in commodity futures markets
Adrian Fernández-Pérez, Ana-Marı́a Fuertes, Marcos González-Fernández, et al.
Journal of Banking & Finance (2020) Vol. 119, pp. 105902-105902
Open Access | Times Cited: 39
Can Google search data help predict macroeconomic series?
Robin Niesert, Jochem Oorschot, Christian P. Veldhuisen, et al.
International Journal of Forecasting (2019) Vol. 36, Iss. 3, pp. 1163-1172
Open Access | Times Cited: 37
Does Investor Attention Affect Stock Trading and Returns? Evidence from Publicly Listed Firms in China
Dan Yang, Tingyu Ma, Yuetang Wang, et al.
Journal of Behavioral Finance (2020) Vol. 22, Iss. 4, pp. 368-381
Closed Access | Times Cited: 33
Data Science for Economics and Finance
Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Springer eBooks (2021)
Closed Access | Times Cited: 32
Risk perception and oil and gasoline markets under COVID-19
Behzod B. Ahundjanov, Sherzod B. Akhundjanov, Botir B. Okhunjanov
Journal of Economics and Business (2021) Vol. 115, pp. 105979-105979
Open Access | Times Cited: 31
European depositors’ behavior and crisis sentiment
Dimitrios Anastasiou, Κωνσταντίνος Δράκος
Journal of Economic Behavior & Organization (2021) Vol. 184, pp. 117-136
Closed Access | Times Cited: 29
Employing Google Trends and Deep Learning in Forecasting Financial Market Turbulence
Αναστάσιος Πετρόπουλος, Vasileios Siakoulis, Evangelos Stavroulakis, et al.
Journal of Behavioral Finance (2021) Vol. 23, Iss. 3, pp. 353-365
Closed Access | Times Cited: 29
An end-to-end deep learning model for solving data-driven newsvendor problem with accessibility to textual review data
Yu‐Xin Tian, Chuan Zhang
International Journal of Production Economics (2023) Vol. 265, pp. 109016-109016
Closed Access | Times Cited: 12
Addressing Google Trends inconsistencies
Eduardo Cebrián, Josep Domènech
Technological Forecasting and Social Change (2024) Vol. 202, pp. 123318-123318
Open Access | Times Cited: 4
Let’s talk aliens - Stakeholder perceptions of an alien species differ in time and space
Theresa Henke, Ana Novoa, Hlynur Bárðarson, et al.
NeoBiota (2024) Vol. 93, pp. 117-141
Open Access | Times Cited: 4
Capturing the timing of crisis evolution: A machine learning and directional wavelet coherence approach to isolating event-specific uncertainty using Google searches with an application to COVID-19
Jan Jakub Szczygielski, Ailie Charteris, Lidia Obojska, et al.
Technological Forecasting and Social Change (2024) Vol. 205, pp. 123319-123319
Open Access | Times Cited: 4
Growth of Omnichannel Grocery Retailing and Food Prices
Xiangwen Kong, Metin Çakır, Qing X. Li
Agribusiness (2025)
Open Access
Online Interest in Radical Islam and Terrorist Attacks
Marcella Nicolini, Fabio Sabatini, Dean Fantazzini
Peace Economics Peace Science and Public Policy (2025)
Closed Access
Artificial Intelligence and Inflation Forecasting: A Contemporary Perspective
Pijush Kanti Das, Prabir Kumar Das
South Asian Journal of Macroeconomics and Public Finance (2025)
Closed Access
Using Google Search Data to Examine Factory Automation and its Effect on Employment
Céline Diebold
Economic Analysis and Policy (2025)
Open Access
Google search volume index and banks’ capital adequacy
Tadeo Masimengo
Cogent Economics & Finance (2025) Vol. 13, Iss. 1
Open Access

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