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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:

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

Showing 26-50 of 96 citing articles:

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg
Dean Fantazzini, Julia Pushchelenko, Alexey Mironenkov, et al.
Forecasting (2021) Vol. 3, Iss. 4, pp. 774-803
Open Access | Times Cited: 15
Now-casting Romanian migration into the United Kingdom by using Google Search engine data
Andreea Avramescu, Arkadiusz Wiśniowski
Demographic Research (2021) Vol. 45, pp. 1219-1254
Open Access | Times Cited: 15
Migration Research in a Digitized World

IMISCOE research series (2022)
Closed Access | Times Cited: 11
Studying Information Acquisition in the Field: A Practical Guide and Review
Francesco Capozza, Ingar Haaland, Christopher G. Roth, et al.
SSRN Electronic Journal (2021)
Open Access | Times Cited: 14
The Role of Emerging Predictive IT Tools in Effective Migration Governance
Cristina Blasi Casagran, Colleen Boland, Elena Sánchez-Montijano, et al.
Politics and Governance (2021) Vol. 9, Iss. 4, pp. 133-145
Open Access | Times Cited: 11
Predicting refugee flows from Ukraine with an approach to Big (Crisis) Data: a new opportunity for refugee and humanitarian studies
Tado Jurić
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 8
Ukrainian refugee integration and flows analysis with an approach of Big Data: Social media insights
Tado Jurić
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 8
Forecasting Ukrainian Refugee Flows With Organic Data Sources
Nathan Wycoff, Ali Arab, Katharine M. Donato, et al.
International Migration Review (2023)
Closed Access | Times Cited: 4
Raising Awareness of Climate Change: Nature, Activists, Politicians?
Daryna Grechyna
SSRN Electronic Journal (2024)
Open Access | Times Cited: 1
Did Merkel's 2015 decision attract more migration to Germany?
Jasper Tjaden, Tobias Heidland
European Journal of Political Research (2024)
Open Access | Times Cited: 1
Intentions and abilities to migrate from Africa to Europe
Irene Schöfberger, Eduardo Acostamadiedo, Marzia Rango
Population Space and Place (2024) Vol. 30, Iss. 6
Closed Access | Times Cited: 1
International mobility between the UK and Europe around Brexit: a data-driven study
Alina Sîrbu, Diletta Goglia, Jisu Kim, et al.
Journal of Computational Social Science (2024) Vol. 7, Iss. 2, pp. 1451-1482
Open Access | Times Cited: 1
The digital trail of Ukraine’s 2022 refugee exodus
Nathan Wycoff, Lisa Singh, Ali Arab, et al.
Journal of Computational Social Science (2024) Vol. 7, Iss. 2, pp. 2147-2193
Open Access | Times Cited: 1
Raising awareness of climate change: Nature, activists, politicians?
Daryna Grechyna
Ecological Economics (2024) Vol. 227, pp. 108374-108374
Open Access | Times Cited: 1
Forecasting migration movements using prediction markets
Sandra Morgenstern, Oliver Strijbis
Comparative Migration Studies (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 1
COVID-19 and the intentions to migrate from developing countries: Evidence from online search activities in Southeast Asia
Nobuyuki Nakamura, Aya Suzuki
Journal of Asian Economics (2021) Vol. 76, pp. 101348-101348
Open Access | Times Cited: 10
An LSTM approach to Forecast Migration using Google Trends
Nicolas Golenvaux, Pablo González Álvarez, Harold Silvère Kiossou, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 10
Modelling International Migration Flows by Integrating Multiple Data Sources
Emanuele Del Fava, Arkadiusz Wiśniowsk, Emilio Zagheni
(2019)
Open Access | Times Cited: 9
The Effect of Online Search on International Trade
Shuzhong Ma, Chao Fang
Applied Economics (2021) Vol. 53, Iss. 46, pp. 5369-5384
Closed Access | Times Cited: 8
The Empirical Study of Human Mobility: Potentials and Pitfalls of Using Traditional and Digital Data
Ettore Recchi, Katharina Tittel
Springer eBooks (2023), pp. 437-464
Closed Access | Times Cited: 3
Risk perception, online search and consumption distortion
Wei Huang
China Economic Quarterly International (2023) Vol. 3, Iss. 2, pp. 88-102
Open Access | Times Cited: 3
Can Google Trends predict asylum-seekers’ destination choices?
Haodong Qi, Tuba Bircan
EPJ Data Science (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 3
Google Trends as a Tool for Public Opinion Research: An Illustration of the Perceived Threats of Immigration
Reilly Lorenz, Jacob Beck, Sophie Horneber, et al.
IMISCOE research series (2022), pp. 193-206
Closed Access | Times Cited: 5
Digital Demography Methods for Forecasting Migration Processes
A.V. Smirnov
Economy of Regions (2022) Vol. 18, Iss. 1, pp. 133-145
Open Access | Times Cited: 5
Heterogeneous responses in Google Trends measures of well-being to the COVID-19 dynamic quarantines in Chile
Fernando Díaz, Pablo A. Henríquez, Diego Winkelried
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5

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