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Heritage Science
基本信息
期刊名称 | Heritage Science HERIT SCI |
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期刊ISSN | 2050-7445 |
期刊官方网站 | https://www.springer.com/journal/40494 |
是否OA | Yes |
出版商 | Springer Science + Business Media |
出版周期 | |
文章处理费 | 登录后查看 |
始发年份 | 2013 |
年文章数 | 262 |
影响因子 | 2.6(2023) scijournal影响因子 greensci影响因子 |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
---|---|---|---|
化学4区 | CHEMISTRY, ANALYTICAL 分析化学4区 | 否 | 否 |
MATERIALS SCIENCE, MULTIDISCIPLINARY 材料科学:综合4区 | |||
SPECTROSCOPY 光谱学3区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
---|---|---|---|---|---|
学科 | 排名 | 百分位 | 4.0 | 0.522 | 1.431 |
Arts and Humanities Archeology (arts and humanities) |
23/413 | 94% |
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Social Sciences Archeology |
21/354 | 94% |
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Arts and Humanities Conservation |
7/103 | 93% |
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Materials Science Materials Science (miscellaneous) |
75/196 | 61% |
补充信息
自引率 | 23.1% |
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H-index | 14 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | 登录后查看 |
网友分享审稿时间 | 数据统计中,敬请期待。 |
接受率 | 登录后查看 |
PubMed Central (PMC) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2050-7445%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.editorialmanager.com/HSCI |
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收稿范围 | Heritage Science is an open access journal publishing original peer-reviewed research covering: Understanding of the manufacturing processes, provenances, and environmental contexts of material types, objects, and buildings, of cultural significance including their historical significance. Understanding and prediction of physico-chemical and biological degradation processes of cultural artifacts, including climate change, and predictive heritage studies. Development and application of analytical and imaging methods or equipment for non-invasive, non-destructive or portable analysis of artwork and objects of cultural significance to identify component materials, degradation products and deterioration markers. Development and application of invasive and destructive methods for understanding the provenance of objects of cultural significance. Development and critical assessment of treatment materials and conservation of artwork and objects of cultural significance. Development and application of statistical methods and algorithms for data analysis to further understanding of culturally significant objects. Development of computational methods such as machine learning, 3D visualization and geographical information systems for the understanding and modelling of cultural objects. Description of novel technologies that can assist in the understanding of cultural heritage. Applications from social sciences and humanities, such as linguistics, musicology and geography, which include substantial computational, statistical or analytical content and are relevant to heritage studies. Applications of archeometry where quantitative and instrumental methods are used for the study of human civilization. Applications of geological and geochemical investigations relevant to human history. Submissions must be of international rather than localized interest. All papers should demonstrate this in their background discussions and bibliography. Submissions from cultures or regions that are less well-studied using modern scientific methods will be considered, even if the methods used are better established elsewhere, providing the work is technically sound and placed into international context. Papers involving conservation science should report new methods or novel assessments of existing approaches that have general international interest. Alternatively, if using well-established approaches, these should be applied to objects or groups of objects that are of wide interest and have not commonly been previously conserved using the approaches reported. |
收录体裁 | |
投稿指南 | https://heritagesciencejournal.springeropen.com/submission-guidelines |
投稿模板 | |
参考文献格式 | |
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