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:

Textual Information and IPO Underpricing: A Machine Learning Approach
Apostolos G. Katsafados, George N. Leledakis, Emmanouil G. Pyrgiotakis, et al.
The Journal of Financial Data Science (2023) Vol. 5, Iss. 2, pp. 100-135
Open Access | Times Cited: 15

Showing 15 citing articles:

Machine learning in bank merger prediction: A text-based approach
Apostolos G. Katsafados, George N. Leledakis, Emmanouil G. Pyrgiotakis, et al.
European Journal of Operational Research (2023) Vol. 312, Iss. 2, pp. 783-797
Closed Access | Times Cited: 19

Crisis sentiment and banks’ stock price crash risk: A missing piece of the puzzle?
Christos Tzomakas, Dimitrios Anastasiou, Apostolos G. Katsafados, et al.
Journal of International Financial Markets Institutions and Money (2023) Vol. 87, pp. 101806-101806
Closed Access | Times Cited: 10

Using 10-K Filing Sentiment in Mergers & Acquisitions: Evidence from the U.S. Banking Sector
Nikolaos Panagiotou, Athanasios Episcopos, George N. Leledakis, et al.
(2025)
Closed Access

Using 10-K Filing Sentiment in Mergers & Acquisitions: Evidence from the U.S. Banking Sector
Nikolaos Panagiotou, Athanasios Episcopos, George N. Leledakis, et al.
(2025)
Closed Access

Banks’ stock price crash risk prediction with textual analysis: a machine learning approach
Dimitrios Anastasiou, Apostolos G. Katsafados, Christos Tzomakas
Annals of Operations Research (2025)
Open Access

Credit risk modelling within the euro area in the COVID‐19 period: Evidence from an ICAS framework
Georgios Chortareas, Apostolos G. Katsafados, Theodore Pelagidis, et al.
International Journal of Finance & Economics (2024)
Closed Access | Times Cited: 1

Short-term prediction of bank deposit flows: do textual features matter?
Apostolos G. Katsafados, Dimitrios Anastasiou
Annals of Operations Research (2024) Vol. 338, Iss. 2-3, pp. 947-972
Closed Access

Specific customer risk disclosure and IPO approval rate: evidence based on machine learning and text analysis
Xiqiong He, Sibo Wang, Jiayue Li
Applied Economics Letters (2024), pp. 1-9
Closed Access

Machine learning insights: probing the variable importance of ex-ante information
Ali Albada, Eimad Abusham, Chui Zi Ong, et al.
Managerial Finance (2024) Vol. 51, Iss. 1, pp. 12-31
Closed Access

Lost in the FOG: Growing Complexity in Financial Reporting – A Comparative Study
Danny Lesmy, Lev Muchnik, Yevgeny Mugerman
Research Square (Research Square) (2024)
Open Access

Machine learning in U.S. Bank Merger Prediction: A Text-Based Approach
Apostolos G. Katsafados, George N. Leledakis, Emmanouil G. Pyrgiotakis, et al.
SSRN Electronic Journal (2021)
Open Access | Times Cited: 3

Twitter Sentiments and Stock Market Indexes: A COVID-19 Analysis
Apostolos G. Katsafados, Sotirios Nikoloutsopoulos, George N. Leledakis
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 2

EDGAR-CORPUS: Billions of Tokens Make The World Go Round
Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, et al.
arXiv (Cornell University) (2021)
Closed Access

EDGAR-CORPUS: Billions of Tokens Make The World Go Round
Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, et al.
(2021), pp. 13-18
Closed Access

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