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:

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: 75

Showing 1-25 of 75 citing articles:

Targeting predictors in random forest regression
Daniel Borup, Bent Jesper Christensen, Nicolaj Søndergaard Mühlbach, et al.
International Journal of Forecasting (2022) Vol. 39, Iss. 2, pp. 841-868
Open Access | Times Cited: 84

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: 70

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

Carbon dioxide emissions and economic growth: New evidence from GDP forecasting
Fei Lü, Feng Ma, Feng Lin
Technological Forecasting and Social Change (2024) Vol. 205, pp. 123464-123464
Closed Access | Times Cited: 8

The impact of the Covid-19 pandemic on the business interruption insurance demand in the United States
Elena Nebolsina
Heliyon (2021) Vol. 7, Iss. 11, pp. e08357-e08357
Open Access | Times Cited: 43

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

Exploring diverse interests of collaborators in smart cities: A topic analysis using LDA and BERT
J. H. Lim, Junseok Hwang
Heliyon (2024) Vol. 10, Iss. 9, pp. e30367-e30367
Open Access | Times Cited: 6

Forecasting unemployment insurance claims in realtime with Google Trends
Daniel Aaronson, Scott A. Brave, R. Andrew Butters, et al.
International Journal of Forecasting (2021) Vol. 38, Iss. 2, pp. 567-581
Closed Access | Times Cited: 27

Do industries predict stock market volatility? Evidence from machine learning models
Zibo Niu, Rıza Demirer, Muhammad Tahir Suleman, et al.
Journal of International Financial Markets Institutions and Money (2023) Vol. 90, pp. 101903-101903
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

Forecasting Inflation With the Hedged Random Forest
Elliot Beck, Michael S. Wolf
(2025)
Closed Access

When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage
Laurent Ferrara, Anna Simoni
Journal of Business and Economic Statistics (2022) Vol. 41, Iss. 4, pp. 1188-1202
Open Access | Times Cited: 17

Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data
Daniel Borup, David E. Rapach, Erik Christian Montes Schütte
International Journal of Forecasting (2022) Vol. 39, Iss. 3, pp. 1122-1144
Closed Access | Times Cited: 16

Nowcasting with panels and alternative data: The OECD weekly tracker
Nicolas Woloszko
International Journal of Forecasting (2024) Vol. 40, Iss. 4, pp. 1302-1335
Closed Access | Times Cited: 3

Forecasting Spanish unemployment with Google Trends and dimension reduction techniques
Rodrigo Mulero, Alfredo García‐Hiernaux
SERIEs (2021) Vol. 12, Iss. 3, pp. 329-349
Open Access | Times Cited: 21

Can unemployment forecasts based on Google Trends help government design better policies? An investigation based on Spain and Portugal
Mihaela Simionescu, Javier Cifuentes‐Faura
Journal of Policy Modeling (2021) Vol. 44, Iss. 1, pp. 1-21
Closed Access | Times Cited: 18

Join the club! Dynamics of global ESG indices convergence
Marco Kerkemeier, Robinson Kruse‐Becher
Finance research letters (2022) Vol. 49, pp. 103085-103085
Closed Access | Times Cited: 13

Effect of IUCN Red List category on public attention to mammals
Alex Van Huynh
Conservation Biology (2023) Vol. 37, Iss. 3
Closed Access | Times Cited: 7

Does energy consumption play a key role? Re-evaluating the energy consumption-economic growth nexus from GDP growth rates forecasting
Fei Lü, Feng Ma, Shiyang Hu
Energy Economics (2023) Vol. 129, pp. 107268-107268
Closed Access | Times Cited: 7

DIY google trends indicators in social sciences: A methodological note
Ivana Lolić, Marina Matošec, Petar Sorić
Technology in Society (2024) Vol. 77, pp. 102477-102477
Closed Access | Times Cited: 2

Googling Unemployment During the Pandemic: Inference and Nowcast Using Search Data
Giulio Caperna, Marco Colagrossi, Andrea Geraci, et al.
SSRN Electronic Journal (2020)
Open Access | Times Cited: 18

Can Web Search Queries Predict Prices Change on the Real Estate Market?
Nina Rizun, Anna Baj-Rogowska
IEEE Access (2021) Vol. 9, pp. 70095-70117
Open Access | Times Cited: 16

The supply and demand of news during COVID-19 and assessment of questionable sources production
Pietro Gravino, Giulio Prevedello, G Martina, et al.
Nature Human Behaviour (2022) Vol. 6, Iss. 8, pp. 1069-1078
Open Access | Times Cited: 12

Forecasting National and Regional Youth Unemployment in Spain Using Google Trends
Mihaela Simionescu, Javier Cifuentes‐Faura
Social Indicators Research (2022) Vol. 164, Iss. 3, pp. 1187-1216
Open Access | Times Cited: 12

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