Publication
The forecasting of air transport passenger demands in Turkey by using novel meta heuristic algorithms
01 Ocak 2021
Makale
Özgün Makale
Google Scholar
Atıf kopyala
D. E. KORKMAZ, & P. A. P. AKGÜNGÖR (2021). The forecasting of air transport passenger demands in Turkey by using novel meta heuristic algorithms. *Concurrency and Computation: Practice and Experience*, 33(16). https://doi.org/10.1002/cpe.6263
Yayın bilgileri
Dergi
Concurrency and Computation: Practice and Experience
DOI
10.1002/cpe.6263
Veri tabanı
SCI-Expanded; Google Scholar; Scopus
Cilt / Sayı
33 / 16
Atıf verisi 14 Kasım 2026 tarihinde güncellendi.
Dergi: Concurrency and Computation: Practice and Experience | Yıl: 2021 | Cilt/Sayı: 33/16 | DOI: 10.1002/cpe.6263 | Yazarlar: KORKMAZ ERSİN, AKGÜNGÖR ALİ PAYIDAR
Citations by source
| Kaynak | Atıf |
|---|---|
| Google Scholar | 26 |
| Scopus | 16 |
| Etkin | 0 |
Yayın metrikleri (GS / WoS / Scopus)
GS
26
Google Scholar Atıf
SC
16
Scopus Atıf
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