ACM Transactions on Spatial Algorithms and Systems

Aims & Scope

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.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.6
2024	1.20

SJR (SCImago Journal Rank)

Year	Value
2024	0.338

Quartile

Year	Value
2024	Q3

Journal Rank

Year	Value
2024	15468

Journal Citation Indicator

Year	Value
2024	155

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A Server-Assigned Spatial Crowdsourcing Framework

  Citation: 114

  Authors: Hien, Cyrus, Leyla

• Intelligent Intersection

  Citation: 82

  Authors: Xiaohui, Pan, Anand, Sanjay

• SeqST-GAN

  Citation: 59

  Authors: Senzhang, Jiannong, Hao, Hao, Zhiqiu

• Classification of Passes in Football Matches Using Spatiotemporal Data

  Citation: 55

  Authors: Sanjay, Joël, Joachim, Michael

• On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)

  Citation: 48

  Authors: Gengchen, Weiming, Jin, Suhang, Deepak, Ninghao, Song, Tianming, Gao, Yingjie, Chris, Ziyuan, Rui, Ni

• A Social Force Based Pedestrian Motion Model Considering Multi-Pedestrian Interaction with a Vehicle

  Citation: 42

  Authors: Dongfang, Ãœmit, Keith

• Accurate and Energy-Efficient GPS-Less Outdoor Localization

  Citation: 40

  Authors: Heba, Anas, Moustafa

• Symbolic Trajectories

  Citation: 39

  Authors: Ralf Hartmut, Fabio, Maria Luisa

• Privacy-Aware Dynamic Ride Sharing

  Citation: 35

  Authors: Preeti, Lars, Kotagiri

• Personalized Group Recommender Systems for Location- and Event-Based Social Networks

  Citation: 27

  Authors: Sanjay, C.-C. Jay

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