ACM Transactions on Information Systems - Impact Factor

ACM Transactions on Information Systems | 2024 Impact Factor:5.4 |Cite Score:12.1 | Q1

ACM Transactions on Information Systems Journal

Impact Factor and Journal Rank of ACM Transactions on Information Systems

About: The ACM Transactions on Information Systems (TOIS) is a peer-reviewed journal published by the Association for Computing Machinery (ACM). It focuses on research in the field of information systems, covering a wide range of topics including information retrieval, database systems, data management, and human-computer interaction. The journal serves as a platform for scholars, researchers, and practitioners to publish original research articles, reviews, and case studies that advance the understanding and application of information systems technologies.
Objective: The primary objective of the ACM Transactions on Information Systems is to promote research and innovation in information systems. The journal aims to explore theories, methodologies, algorithms, and applications that enhance the storage, retrieval, and management of information. By publishing high-quality research, the journal seeks to address the challenges and opportunities in developing information systems that effectively manage and utilize data.
Interdisciplinary Focus: The ACM Transactions on Information Systems adopts an interdisciplinary approach, welcoming contributions from various fields related to information systems, including but not limited to, Information Retrieval, Database Systems, Data Management, Human-Computer Interaction, Information Theory, Data Mining, Machine Learning, Natural Language Processing, Multimedia Information Systems, Knowledge Management. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced information systems that address real-world challenges in diverse applications.
Global Reach and Impact: With a broad international readership and authorship, the ACM Transactions on Information Systems has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in information systems worldwide. The journal content influences both academic research and practical applications, driving progress in areas such as web search, digital libraries, data warehousing, and business intelligence.
High Standards and Rigorous Review: Maintaining high academic standards, the ACM Transactions on Information Systems conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
Significance: The ACM Transactions on Information Systems plays a significant role in advancing research and practice in the field of information systems. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in information systems technologies and applications. It serves as an essential resource for researchers, practitioners, educators, and students interested in understanding and leveraging information systems to solve complex data management and retrieval challenges.

Journal Home: Journal Homepage

Editor-in-Chief: Min Zhang

Scope: ACM Transactions on Information Systems (TOIS) is a distinguished peer-reviewed journal published by the Association for Computing Machinery (ACM). It focuses on the theory, design, development, and evaluation of information systems, covering a broad spectrum of research topics in the field of information retrieval, data management, and human-computer interaction. The journal provides a significant platform for researchers, practitioners, and scholars to share their latest findings, methodologies, and practical insights. Here is an overview of its key focus areas and scope:
1. Information Retrieval:
Research on algorithms, models, and techniques for retrieving relevant information from large data collections.
Advancements in search engines, query processing, ranking algorithms, and relevance feedback mechanisms.
2. Data Management:
Exploration of data management techniques, including database design, data modeling, and data integration.
Research on distributed databases, data warehousing, and data mining for extracting valuable insights from structured and unstructured data.
3. Natural Language Processing (NLP):
Advancements in NLP techniques for understanding, processing, and generating human language.
Research on text analysis, sentiment analysis, machine translation, and information extraction from textual data.
4. Human-Computer Interaction (HCI):
Exploration of user interface design, user experience (UX) evaluation, and interaction techniques for improving user interactions with information systems.
Research on usability testing, accessibility, and user-centered design methodologies.
5. Recommender Systems:
Advancements in recommendation algorithms and systems for providing personalized content and suggestions to users.
Research on collaborative filtering, content-based filtering, hybrid recommendation approaches, and user profiling.
6. Web and Social Media Analytics:
Exploration of techniques for analyzing web data and social media content to understand user behavior and social interactions.
Research on web mining, social network analysis, sentiment analysis, and influence detection in social media platforms.
7. Multimedia Information Systems:
Advancements in the management, retrieval, and processing of multimedia data, including images, videos, and audio.
Research on content-based retrieval, multimedia indexing, and multimedia data mining.
8. Information Visualization:
Exploration of visualization techniques for representing complex data in intuitive and interactive ways.
Research on visual analytics, information dashboards, and user interaction with visual data representations.
9. Knowledge Management:
Advancements in techniques for capturing, storing, and utilizing knowledge within organizations.
Research on knowledge discovery, knowledge representation, ontologies, and semantic web technologies.
10. Information Security and Privacy:
Exploration of methods for ensuring the security and privacy of information systems and data.
Research on access control, encryption, secure data storage, and privacy-preserving data analysis.