國際簡稱:ARCHAEOFAUNA 參考譯名:古動物群
主要研究方向:ARCHAEOLOGY 非預警期刊 審稿周期:
《古動物群》(Archaeofauna)是一本由Asociacion Espanola de Arqueozoologia出版的以ARCHAEOLOGY為研究特色的國際期刊,發表該領域相關的原創研究文章、評論文章和綜述文章,及時報道該領域相關理論、實踐和應用學科的最新發現,旨在促進該學科領域科學信息的快速交流。該期刊是一本未開放期刊,近三年沒有被列入預警名單。
Archaeofauna is an annual academic journal devoted to the study of animal remains in the field of archaeology. The journal is dedicated to publishing original research papers covering all aspects of animal remains found at archaeological sites. These studies include not only morphological analysis of animal bones, but also an in-depth exploration of the function and significance of these remains in ancient societies. Through these studies, scholars are able to better understand the relationship between ancient humans and animals, as well as the role of animals in ancient economic, cultural and religious activities.
Articles in the journal are diverse and may include reports of archaeological excavations, laboratory analysis results, theoretical discussions, and methodological studies. A rigorous peer review process ensures that each article is academically valuable and innovative. For archaeologists, historians, biologists and researchers in related fields, the journal is an important platform to access the latest research results and exchange academic views. It not only promotes the in-depth study of ancient animal remains in the academic circle, but also provides rich materials and perspectives for interdisciplinary research in related fields.
| CiteScore | SJR | SNIP | CiteScore 指數 | ||||||||||||||||
| 0.9 | 0.286 | 0.622 |
|
名詞解釋:CiteScore 是衡量期刊所發表文獻的平均受引用次數,是在 Scopus 中衡量期刊影響力的另一個指標。當年CiteScore 的計算依據是期刊最近4年(含計算年度)的被引次數除以該期刊近四年發表的文獻數。例如,2022年的 CiteScore 計算方法為:2022年的 CiteScore =2019-2022年收到的對2019-2022年發表的文件的引用數量÷2019-2022年發布的文獻數量 注:文獻類型包括:文章、評論、會議論文、書籍章節和數據論文。
| Top期刊 | 綜述期刊 | 大類學科 | 小類學科 | ||
| 否 | 否 | 歷史學 | 4區 | ARCHAEOLOGY 考古學 | 4區 |
| 按JIF指標學科分區 | 收錄子集 | 分區 | 排名 | 百分位 |
| 學科:ARCHAEOLOGY | AHCI | N/A | N / A |
0% |
| 按JCI指標學科分區 | 收錄子集 | 分區 | 排名 | 百分位 |
| 學科:ARCHAEOLOGY | AHCI | Q3 | 92 / 163 |
43.87% |
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