Foundations and Trends in Databases Impact Factor, Quartile, Indexing, Ranking

Foundations and Trends in Databases (FTD) is a scholarly journal dedicated to publishing research in the field of Computer Science, and Published by Now Publishers. The Print-ISSN of Foundations and Trends in Databases is 1931-7883 and its abbreviation is Found Trends Databases.

There are no fees payable (APC) to submit or publish in this journal.

The growth in all aspects of research in the last decade has led to a multitude of new publications and an exponential increase in published research. Finding a way through the excellent existing literature and keeping up to date has become a major time-consuming problem. Electronic publishing has given researchers instant access to more articles than ever before. But which articles are the essential ones that should be read to understand and keep abreast with developments of any topic? To address this problem Foundations and Trends® in Databases publishes high-quality survey and tutorial monographs of the field.

Foundations and Trends® in Databases covers a breadth of topics relating to the management of large volumes of data. The journal targets the full scope of issues in data management, from theoretical foundations, to languages and modeling, to algorithms, system architecture, and applications. The list of topics below illustrates some of the intended coverage, though it is by no means exhaustive:

• Data Models and Query Languages
• Query Processing and Optimization
• Storage, Access Methods, and Indexing
• Transaction Management, Concurrency Control and Recovery
• Deductive Databases
• Parallel and Distributed Database Systems
• Database Design and Tuning
• Metadata Management
• Object Management
• Trigger Processing and Active Databases
• Data Mining and OLAP
• Approximate and Interactive Query Processing
• Data Warehousing
• Adaptive Query Processing
• Data Stream Management
• Search and Query Integration
• XML and Semi-Structured Data
• Web Services and Middleware
• Data Integration and Exchange
• Private and Secure Data Management
• Peer-to-Peer, Sensornet and Mobile Data Management
• Scientific and Spatial Data Management
• Data Brokering and Publish/Subscribe
• Data Cleaning and Information Extraction
• Probabilistic Data Management

• Journal Website
• Scopus
• SCImago