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Journals / İstanbul Üniversitesi Sosyoloji Dergisi / 2026 / Cilt: 46 Sayı: 1

From Care Crisis to Digital Care: A Bibliometric Analysis of Artificial Intelligence in Home Care for Older Adults

Bakım Krizinden Dijital Bakıma: Evde Yaşlı Bakımında Yapay Zekâya İlişkin Bibliyometrik Bir Analiz

Mehmet Karakaş(AFYON KOCATEPE ÜNİVERSİTESİ)0000-0001-7899-383X
İlknur Yeşil(AFYON KOCATEPE ÜNİVERSİTESİ)0000-0002-1878-4208
Hacer Yalçın0000-0002-3537-1173
Pages
346–385
Publication Date
2026-07-28
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings revealed that the most frequently used keywords were smart home, machine learning, and the Internet of Things, while the least commonly used keywords were digital health, computer vision, and competent home-supported care.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examines the academic literature on the use of AI in older adults' care at home through a bibliometric analysis, revealing the field's development over the years, prominent research themes, interdisciplinary contributions and collaboration patterns, and research gaps.
📊
Key Findings & Data:Within the scope of the research, 301 publications in the WoS Core Collection between May 2003 and January 16, 2026 were examined, and VOSviewer (1.6.20) software was used for data analysis, mapping, and network visualization.
💡
Conclusion & Impact:The findings revealed that the most frequently used keywords were smart home, machine learning, and the Internet of Things, while the least commonly used keywords were digital health, computer vision, and competent home-supported care.
🔬Design:Modeling & Simulation
📍Scope:2003 Verileri
⚙️Variables:Yerinde Yaşlanma · Evde Yaşlı Bakımı · Yapay Zekâ

Abstract

This study examines the academic literature on the use of AI in older adults' care at home through a bibliometric analysis, revealing the field's development over the years, prominent research themes, interdisciplinary contributions and collaboration patterns, and research gaps. Within the scope of the research, 301 publications in the WoS Core Collection between May 2003 and January 16, 2026 were examined, and VOSviewer (1.6.20) software was used for data analysis, mapping, and network visualization. During this process, KEYWORDS analysis, international publication and impact profiles, institutional production structure, academic impact and knowledge circulation, author productivity and impact analysis, publication impact, and thematic concentration were evaluated. The findings revealed that the most frequently used keywords were smart home, machine learning, and the Internet of Things, while the least commonly used keywords were digital health, computer vision, and competent home-supported care. China was found to be the country with the most citations, the University of Southern Queensland was the institution with the most citations, Mona was the author with the most citations, and the publication with the most citations belonged to Fang and colleagues. In conclusion, this study serves as a guide for researchers considering future work in this field and relevant policymakers, as it reveals the current state of AI in home-based care for older adults, highlights gaps, and points to opportunities for academic impact and connections.

Özet

Bu çalışmanın amacı, evde yaşlı bakımında yapay zekâ kullanımına ilişkin akademik literatürü bibliyometrik analiz yöntemiyle inceleyerek, alanın yıllar içindeki gelişim seyrini, öne çıkan araştırma temalarını, disiplinlerarası katkı ve iş birliği örüntülerini ve literatürdeki araştırma boşluklarını ortaya koymaktır. Araştırma kapsamında Mayıs 2003-16 Ocak 2026 tarihleri arasında WoS Core Collection'da yer alan 301 yayın incelenmiş olup verilerin analizi, haritalanması ve ağ görselleştirmesi aşamasında VOSviewer (1.6.20) yazılımı kullanılmıştır. Bu süreçte anahtar kelime analizi, ülkeler arası yayın ve etki profilleri, kurumsal üretim yapısı, akademik etki ve bilgi dolaşımı, yazar üretkenliği ve etki analizi, yayınların etkisi ve tematik yoğunlaşması değerlendirilmiştir. Elde edilen bulgular sonucunda en çok kullanılan kelimelerin akıllı ev, makine öğrenmesi, nesnelerin interneti, en az kullanılanların ise dijital sağlık, bilgisayarlı görü, akıllı ev destekli bakım olduğu fark edilmiştir. En fazla atıf alan ülkenin Çin, en çok atıf alan kurumun University of Southern Queensland, en fazla atıf alan yazarın Mona, en çok atıf alan yayının ise Fang ve arkadaşlarına ait olduğu bulunmuştur. Sonuç olarak, bu çalışma, evde yaşlı bakımında yapay zekâya dair alanın mevcut durumunu ortaya koyması, alandaki boşlukları göstermesi, akademik etki ve bağlantı potansiyellerine işaret etmesi bakımından gelecekte bu alanda çalışmayı düşünen araştırmacılara ve bu bağlamda ilgili politika yapıcılara yol gösterici bir nitelik taşımaktadır.

🔖

Cite This Article

Karakaş, M., Yeşil, İ., Yalçın, H. (2026). From Care Crisis to Digital Care: A Bibliometric Analysis of Artificial Intelligence in Home Care for Older Adults. İstanbul Üniversitesi Sosyoloji Dergisi, Cilt: 46 Sayı: 1, 346–385. https://doi.org/10.26650/SJ.2025.46.1.1055

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