ACM Transactions on Spatial Algorithms and Systems

ACM Transactions on Spatial Algorithms and Systems
影响因子:
1.2
ISSN:
print: 2374-0353
on-line: 2374-0361
研究领域:
REMOTE SENSING
自引率:
5.30%
Gold OA文章占比:
5.00%
原创研究文献占比:
100.00%
SCI收录类型:
Emerging Sources Citation Index (ESCI) || Scopus (CiteScore)
期刊介绍英文:
ACM Transactions on Spatial Algorithms and Systems (TSAS) is a scholarly journal that publishes the highest quality papers on all aspects of spatial algorithms and systems and closely related disciplines. It has a multi-disciplinary perspective in that it spans a large number of areas where spatial data is manipulated or visualized (regardless of how it is specified - i.e., geometrically or textually) such as geography, geographic information systems (GIS), geospatial and spatiotemporal databases, spatial and metric indexing, location-based services, web-based spatial applications, geographic information retrieval (GIR), spatial reasoning and mining, security and privacy, as well as the related visual computing areas of computer graphics, computer vision, geometric modeling, and visualization where the spatial, geospatial, and spatiotemporal data is central.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
4.40.6200.795
学科
排名
百分位
大类:Mathematics
小类:Discrete Mathematics and Combinatorics
1 / 92
99%
大类:Mathematics
小类:Geometry and Topology
4 / 106
96%
大类:Mathematics
小类:Modeling and Simulation
95 / 324
70%
大类:Computer Science
小类:Information Systems
160 / 394
59%
大类:Computer Science
小类:Signal Processing
56 / 131
57%
大类:Computer Science
小类:Computer Science Applications
354 / 817
56%
发文信息
WOS期刊分区
学科分类
Q4REMOTE SENSING
历年影响因子
2022年1.9000
2023年1.2000
历年发表
2012年0
2014年0
2015年10
2016年20
2017年13
2018年20
2019年33
2020年28
2021年22
2022年43
投稿信息
出版国家(地区):
United States
出版商:
Association for Computing Machinery (ACM)

ACM Transactions on Spatial Algorithms and Systems - 最新文献

Adaptive Spatio-Temporal Graph Learning for Bus Station Profiling

Pub Date : 2023-12-07 DOI: 10.1145/3636459 Mingliang Hou, Feng Xia, Xin Chen, V. Saikrishna, Honglong Chen

Forecasting Urban Sensory Values through Learning Attention-adjusted Graph Spatio-Temporal Networks

Pub Date : 2023-12-04 DOI: 10.1145/3635140 Yi-Ju Lu, Cheng-Te Li

Deformation Gated Recurrent Network for Lane-Level Abnormal Driving Behavior Recognition

Pub Date : 2023-12-02 DOI: 10.1145/3635141 Guojiang Shen, Juntao Wang, Xiangjie Kong, Zhanhao Ji, Bing Zhu, Tie Qiu
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