Predictors of citations: an analysis of highly-cited-papers in hospitality and tourism research using a machine learning approach
Yazarlar (4)
Doç. Dr. Eray Polat Gümüşhane Üniversitesi, Türkiye
Fatih Çelik Trabzon University, Türkiye
Doç. Dr. Hasan Evrim ARICI Kastamonu Üniversitesi, Türkiye
Mehmet Ali Köseoğlu
Metropolitan State University, Amerika Birleşik Devletleri
Metropolitan State University, Amerika Birleşik Devletleri
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Current Issues in Tourism (Q1) | ||
| Dergi ISSN | 1368-3500 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2024 |
| Cilt / Sayı / Sayfa | 29 / 6 / 1117–1138 | DOI | 10.1080/13683500.2024.2446410 |
| Makale Linki | https://doi.org/10.1080/13683500.2024.2446410 | ||
| UAK Araştırma Alanları |
Otel İşletmeciliği
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| Özet |
| In the dynamic nature of hospitality and tourism (H&T) research, it is increasingly difficult to distinguish highly-cited-papers (HCPs) due to the rapid proliferation of publications. This study employs machine learning techniques to identify the predictors of citation counts in H&T research over both short-term (5-year) and long-term (20-year) periods using HCPs. The analysis integrates a theoretical framework comprising normative theory and social constructivist theory. The findings indicate that international citation, PlumXmetrics, and early citations are the most effective determinants in both periods. Furthermore, while the importance of international citations is evident in both periods, the order of importance of the other two predictors changes. PlumXmetrics are more important in the long-term, while early citations are more important in the short-term. In conclusion, this comprehensive and up-to-date study of citation … |
| Anahtar Kelimeler |
| citation behaviour | Highly-cited-papers | machine learning | normative theory | predictors of citations | social constructivist theory |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 3 |
| Scopus | 3 |
| Google Scholar | 3 |