Makale detayı · 2011
Natural and induced sinkholes of the Obruk Plateau and Karapınar Hotamış Plain Turkey
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Atıf 72
Yüzdelik 74.4%
FWCI 0.82
- Yıl
- 2011
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı Journal of Asian Earth Sciences
- Katalog eşleşmesi (ISSN) Journal of Asian Earth Sciences
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
Özet henüz derlenmedi; DergiPark / OpenAlex kuyruğu işlenince burada görünecek.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
72 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 47 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- DInSAR-Based Detection of Land Subsidence and Correlation with Groundwater Depletion in Konya Plain, Turkey 2017
- Land deformation and sinkhole occurrence in response to the fluctuations of groundwater storage: an integrated assessment of GRACE gravity measurements, ICESat/ICESat-2 altimetry data, and hydrologic models 2021
- Land deformation and sinkhole occurrence in response to the fluctuations of groundwater storage: an integrated assessment of GRACE gravity measurements, ICESat/ICESat-2 altimetry data, and hydrologic models 2021
- An application on sinkhole susceptibility mapping by integrating remote sensing and geographic information systems 2020
- Water level change of lakes and sinkholes in Central Turkey under anthropogenic effects 2020
- Karapınar Çevresinde Yeraltı Suyu Seviye Değisimlerinin Yaratmış Olduğu Çevre Sorunları 2010
- Spatial and Temporal Patterns of Land Subsidence and Sinkhole Occurrence in the Konya Endorheic Basin, Turkey 2024
- Morphotectonic evolution of Maviboğaz canyon and Suğla polje, SW central Anatolia, Turkey 2018
- Explainable sinkhole susceptibility mapping using machine-learning-based SHAP: Quantifying and comparing the effects of contributing factors in Konya, Türkiye 2025
- Explainable Sinkhole Susceptibility Mapping Using Machine-Learning-Based SHAP: Quantifying and Comparing the Effects of Contributing Factors in Konya, Türkiye 2025