A Bibliometric Analysis of Artificial Intelligence Applications in Finance

Osman Can Barakalı; Turan Öndeş

Makale detayları

A Bibliometric Analysis of Artificial Intelligence Applications in Finance

Yazarlar:

Osman Can Barakalı | Turan Öndeş

Yayıncı:

Gumushane University

Ana Başlıklar:

Yapay Zeka (Diğer) | Finans

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.16 Issue 2, pp.748-761

Belge Tipi:

Makale

Yayın Tarihi:

5/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001349566

pISSN:

1309-7423

Anahtar kelimeler:

Özet:

 Artificial intelligence paves the way for radical changes in finance, as in every field. With its increasingly widespread use in finance, the relationship between artificial intelligence and finance inspires innovative scientific studies. For this reason, the scientific literature in the field of artificial intelligence and finance was examined in order to see the point that the literature on the subject has reached and to guide new studies. A bibliometric analysis was performed on 2001 studies published in the Scopus database between 1977 and 2024. According to the results obtained, China is the country that has published the most and received the most citations on the subject. The University of California was determined to be the institution that contributed the most to the field. The use of artificial intelligence in finance is concentrated under the headings of financial institutions, financial services, stock exchange, and risk management. Studies on stock exchange, financial markets, data analysis, social media, and stock prices are among the current headings. Artificial intelligence studies in finance have mainly been shaped around the headings of financial institutions, risk management, fraud detection, supply chain, financial risk, and financial crises.

 Artificial intelligence paves the way for radical changes in finance, as in every field. With its increasingly widespread use in finance, the relationship between artificial intelligence and finance inspires innovative scientific studies. For this reason, the scientific literature in the field of artificial intelligence and finance was examined in order to see the point that the literature on the subject has reached and to guide new studies. A bibliometric analysis was performed on 2001 studies published in the Scopus database between 1977 and 2024. According to the results obtained, China is the country that has published the most and received the most citations on the subject. The University of California was determined to be the institution that contributed the most to the field. The use of artificial intelligence in finance is concentrated under the headings of financial institutions, financial services, stock exchange, and risk management. Studies on stock exchange, financial markets, data analysis, social media, and stock prices are among the current headings. Artificial intelligence studies in finance have mainly been shaped around the headings of financial institutions, risk management, fraud detection, supply chain, financial risk, and financial crises.

 Artificial intelligence paves the way for radical changes in finance, as in every field. With its increasingly widespread use in finance, the relationship between artificial intelligence and finance inspires innovative scientific studies. For this reason, the scientific literature in the field of artificial intelligence and finance was examined in order to see the point that the literature on the subject has reached and to guide new studies. A bibliometric analysis was performed on 2001 studies published in the Scopus database between 1977 and 2024. According to the results obtained, China is the country that has published the most and received the most citations on the subject. The University of California was determined to be the institution that contributed the most to the field. The use of artificial intelligence in finance is concentrated under the headings of financial institutions, financial services, stock exchange, and risk management. Studies on stock exchange, financial markets, data analysis, social media, and stock prices are among the current headings. Artificial intelligence studies in finance have mainly been shaped around the headings of financial institutions, risk management, fraud detection, supply chain, financial risk, and financial crises.

 Yapay zeka her alanda olduğu gibi finans alanında köklü değişimlere zemin hazırlamaktadır. Finans alanında her geçen gün daha fazla yaygınlaştığı görülen yapay zeka ile finans ilişkisi, inovatif bilimsel çalışmalar için de uygun çalışma ortamı oluşturmaktadır. Bu nedenle konuya ilişkin literatürün geldiği noktayı görmek ve yeni çalışmalara yol gösterebilmek amacıyla, yapay zeka ve finans alanındaki bilimsel literatür incelenmiştir. 1977-2024 yılları arasında Scopus veri tabanında yayımlanan 2001 çalışma üzerinden bibliyometrik analiz gerçekleştirilmiştir. Elde edilen sonuçlara göre konu ile ilgili en çok yayım yapan ve en çok atıf alan ülke Çin olmakla birlikte, University of California bu konuda oldukça fazla yayın yaparak en çok katkı veren kurum olduğu tespit edilmiştir. Yapay zekanın finans alanında kullanımı yoğun olarak finansal kurumlar, finansal hizmetler, borsa, risk yönetimi gibi başlıklar altında toplandığı görülmüştür. Finans ile yapay zekayı birlikte işleyen çalışmalardaki güncel başlıkların borsa, finansal piyasalar, data analizleri, sosyal medya ve hisse senedi fiyatları konularından oluştuğu belirlenmiştir. Finans alanında temel olarak finansal kurumlar, risk yönetimi, dolandırıcılık tespiti, tedarik zinciri, finansal risk ve finansal krizler başlıkları sıklıkla yapay zeka ile ilişkilendirildiği tespit edilmiştir.

Makale detayları

A Bibliometric Analysis of Artificial Intelligence Applications in Finance

Yazarlar:

Osman Can Barakalı | Turan Öndeş

Yayıncı:

Gumushane University

Ana Başlıklar:

Yapay Zeka (Diğer) | Finans

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.16 Issue 2, pp.748-761

Belge Tipi:

Makale

Yayın Tarihi:

5/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001349566

pISSN:

1309-7423

Finance

Artificial İntelligence

BibliometricFinans

Yapay Zeka

Bibliyometrik Analiz

Sayı

Makale detayları

A Bibliometric Analysis of Artificial Intelligence Applications in Finance

Yazarlar: Osman Can Barakalı | Turan Öndeş

Yayıncı: Gumushane University

Ana Başlıklar: Yapay Zeka (Diğer) | Finans

Dergi: Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.16 Issue 2, pp.748-761

Belge Tipi: Makale

Yayın Tarihi: 5/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001349566

pISSN: 1309-7423

Finance

Artificial İntelligence

BibliometricFinans

Yapay Zeka

Bibliyometrik Analiz

Sayı

Yazarlar:

Osman Can Barakalı | Turan Öndeş

Yayıncı:

Gumushane University

Ana Başlıklar:

Yapay Zeka (Diğer) | Finans

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.16 Issue 2, pp.748-761

Belge Tipi:

Makale

Yayın Tarihi:

5/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001349566

pISSN:

1309-7423