IEEE Transactions on Knowledge and Data Engineering
IEEE Computer Society
United States
journal
SJR by Edition
Subject Categories
- Computational Theory and MathematicsQ1
- Computer Science ApplicationsQ1
- Information SystemsQ1
Areas: Computer Science
Most published research topics
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
1041-4347, 1558-2191
SJR Best Quartile
Q1
Region
Northern America
Citations per Document (2 years)
13.08
References per Document
60.79
Coverage
1989-2026
Scope
The scope includes the knowledge and data engineering aspects of computer science, artificial intelligence, electrical engineering, computer engineering, and other appropriate fields. This Transactions provides an international and interdisciplinary forum to communicate results of new developments in knowledge and data engineering and the feasibility studies of these ideas in hardware and software. Specific areas to be covered are as follows: Fields and Areas of Knowledge and Data Engineering: (a) Knowledge and data engineering aspects of knowledge based and expert systems, (b) Artificial Intelligence techniques relating to knowledge and data management, (c) Knowledge and data engineering tools and techniques, (d) Distributed knowledge base and database processing, (e) Real-time knowledge bases and databases, (f) Architectures for knowledge and data based systems, (g) Data management methodologies, (h) Database design and modeling, (i) Query, design, and implementation languages, (j) Integrity, security, and fault tolerance, (k) Distributed database control, (l) Statistical databases, (m) System integration and modeling of these systems, (n) Algorithms for these systems, (o) Performance evaluation of these algorithms, (p) Data communications aspects of these systems, and (q) Applications of these systems.
Metrics from SCImago Journal Rank 2025. View on SCImago