Journal of Intelligent Information Systems - Impact Factor

Journal of Intelligent Information Systems - Springer | 2024 Impact Factor:3.4 | Cite Score:8.1 | Q2

Impact Factor and Journal Rank of Intelligent Information Systems

About: Journal of Intelligent Information Systems (JIIS) is dedicated to the dissemination of research on the design, implementation, and evaluation of intelligent information systems. The journal covers a wide spectrum of topics, reflecting the interdisciplinary nature of the field, and aims to foster innovation and knowledge exchange among researchers, practitioners, and policymakers.
Objective: The primary objective of JIIS is to publish high-quality research papers, review articles, and case studies that contribute to the advancement of intelligent information systems. The journal seeks to provide a comprehensive understanding of both theoretical and practical aspects, bridging the gap between research and application.
Interdisciplinary Focus: Journal of Intelligent Information Systems addresses a variety of interdisciplinary topics, including: Artificial intelligence Data mining Machine learning Knowledge discovery Expert systems Decision support systems Information retrieval Natural language processing The journal encourages contributions that explore the integration and application of these technologies across different domains.
Global Reach and Impact: With a global readership, JIIS disseminates pioneering research to a diverse audience of academics, industry professionals, and policymakers. The international scope of the journal ensures that significant advancements in intelligent information systems reach a worldwide audience, promoting collaboration and knowledge exchange.
High Standards and Rigorous Review: Submissions to JIIS undergo a stringent peer-review process to ensure the highest standards of scientific quality and relevance. The journal editorial board, composed of leading experts in the field, oversees this process to maintain the integrity and impact of the published research.
Significance: By highlighting groundbreaking research and innovative applications, Journal of Intelligent Information Systems plays a crucial role in driving progress in the field. The journals contributions help shape the future of intelligent information systems, influencing both theoretical developments and practical implementations.

Journal Home: Journal Homepage

Editor-in-Chief: Zbigniew Ras

Scope: The Journal of Intelligent Information Systems is a peer-reviewed journal that focuses on the design, implementation, and application of intelligent information systems. It serves as a platform for researchers, practitioners, and educators to present their latest research findings, innovations, and applications related to intelligent systems and information technology. Below are the key focus areas and scope of the journal:
1. Intelligent Systems:
Research on the development and enhancement of intelligent systems.
Studies on the application of artificial intelligence techniques in intelligent systems.
Advances in the design and implementation of systems that can learn, adapt, and make decisions autonomously.
2. Information Retrieval:
Exploration of methods and algorithms for effective information retrieval.
Research on improving search engines, recommendation systems, and information filtering techniques.
Advances in information retrieval from structured and unstructured data sources.
3. Data Mining and Knowledge Discovery:
Studies on the extraction of useful information and patterns from large datasets.
Research on data mining techniques, including clustering, classification, association rule mining, and anomaly detection.
Advances in knowledge discovery and the application of data mining in various domains.
4. Machine Learning and Artificial Intelligence:
Exploration of machine learning algorithms and their applications in intelligent information systems.
Research on supervised, unsupervised, and reinforcement learning methods.
Advances in AI-driven approaches for improving system intelligence and decision-making capabilities.
5. Semantic Web and Ontologies:
Studies on the development and application of semantic web technologies.
Research on ontologies, knowledge representation, and reasoning in intelligent information systems.
Advances in semantic data integration and linked data.
6. Natural Language Processing:
Exploration of techniques for processing and understanding human language.
Research on text mining, sentiment analysis, and machine translation.
Advances in natural language interfaces and conversational agents.
7. Intelligent Agents and Multi-Agent Systems:
Studies on the design and implementation of intelligent agents and multi-agent systems.
Research on agent-based modeling, coordination, and negotiation strategies.
Advances in applications of intelligent agents in various domains.
8. Human-Computer Interaction:
Exploration of methods for improving the interaction between humans and intelligent systems.
Research on user interface design, usability, and user experience in intelligent information systems.
Advances in adaptive and personalized systems that enhance user interaction.