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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:

Transparent modeling of influenza incidence: Big data or a single data point from psychological theory?
Konstantinos V. Katsikopoulos, Özgür Şimşek, Marcus Buckmann, et al.
International Journal of Forecasting (2021) Vol. 38, Iss. 2, pp. 613-619
Open Access | Times Cited: 44

Showing 26-50 of 44 citing articles:

On the accuracy of short-term COVID-19 fatality forecasts
Nino Antulov-Fantulin, Lucas Böttcher
BMC Infectious Diseases (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 3
Decoding Human Behavior with Big Data? Critical, Constructive Input from the Decision Sciences
Konstantinos V. Katsikopoulos, Marc Canellas
AI Magazine (2022) Vol. 43, Iss. 1, pp. 126-138
Open Access | Times Cited: 3
ShoTS Forecasting: Short Time Series Forecasting for Management Research
Dimitrios D. Thomakos, Geoffrey Wood, Marilou Ioakimidis, et al.
British Journal of Management (2022) Vol. 34, Iss. 2, pp. 539-554
Closed Access | Times Cited: 3
How deep is your bayesianism?—Peeling the layers of the intuitive Bayesian.
Elina Stengård, Peter Juslin, Ronald van den Berg
Decision (2022) Vol. 9, Iss. 4, pp. 321-346
Open Access | Times Cited: 3
Integrating Evidence and Intuition for Shared Decision-Making
Niklas Keller, Christina M. Juchem, Felix G. Rebitschek
Springer eBooks (2024), pp. 1-12
Closed Access
AI in an Uncertain World: Response to Krueger's Review of How to Stay Smart in a Smart World
Gerd Gigerenzer
The American Journal of Psychology (2024) Vol. 137, Iss. 1, pp. 74-77
Closed Access
A dimensional exploration and scale development study of algorithm aversion
Lin Wang, Xia Li, Huiyu Zhu, et al.
Journal of the Operational Research Society (2024), pp. 1-22
Closed Access
Will they stay or will they go? application of machine learning classifiers of purchase and churn prediction to a digital journalistic platform
Daniel R. O’Brien, Reinhard Kunz
Journal of Media Business Studies (2024), pp. 1-29
Open Access
Investigating laypeople’s short- and long-term forecasts of COVID-19 infection cycles
Moon Su Koo, Yun Shin Lee, Matthias Seifert
International Journal of Forecasting (2023)
Closed Access | Times Cited: 1
Challenges and Opportunities in One Health: Google Trends Search Data
Lauren Wisnieski, Karen Gruszynski, Vina Faulkner, et al.
(2023)
Open Access | Times Cited: 1
Reply to commentaries on “Transparent modelling of influenza incidence”: Recency heuristics and psychological AI
Konstantinos V. Katsikopoulos, Özgür Şimşek, Marcus Buckmann, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 2, pp. 630-634
Open Access | Times Cited: 2
A Detailed Study of the Point of Purchase at Big Bazaar: An Effective Management System
Shivam Kamat, Avadhesh Dalpati
International Journal of Smart Business and Technology (2022) Vol. 10, Iss. 2, pp. 35-46
Open Access | Times Cited: 2
How Do Taxi Drivers Terminate Their Shifts when Earnings Are Hard To Predict?
Florian Artinger, Gerd Gigerenzer, Perke Jacobs
SSRN Electronic Journal (2020)
Closed Access | Times Cited: 2
Commentary on “Transparent modeling of influenza incidence”: Because the model said so
Robert Moss
International Journal of Forecasting (2021) Vol. 38, Iss. 2, pp. 620-621
Open Access | Times Cited: 2
Modeling Chronic Kidney Disease in Type 2 Diabetes Mellitus: A Systematic Literature Review of Models, Data Sources, and Derivation Cohorts
Johannes Pöhlmann, Klas Bergenheim, Juan José García Sánchez, et al.
Diabetes Therapy (2022) Vol. 13, Iss. 4, pp. 651-677
Open Access | Times Cited: 1
Behavioural OR: Recent developments and future perspectives
Martin Kunc, Konstantinos V. Katsikopoulos
Springer eBooks (2022), pp. 721-733
Closed Access | Times Cited: 1
How Deep is Your Bayesianism? - Peeling the Layers of the Intuitive Bayesian
Elina Stengård, Ronald van den Berg, Peter Juslin
(2022)
Open Access
Synthesis of Human and Artificial Intelligence
David Joachim Grüning
(2022)
Open Access
Aggregation of Multiple-Level DSMs: Key Challenges and Some Tentative Solutions
Ali Yassine, Nicolay Worren, Tore Christiansen, et al.
(2022), pp. 21-28
Open Access
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