Why Researchers Choose Artificial Intelligence for High-Impact Publications
The Artificial Intelligence journal stands as a premier outlet for pioneering work in the field of artificial intelligence. Established in 1970 by Elsevier, this publication has shaped the discourse in computer science by featuring seminal papers on machine learning, knowledge representation, and automated reasoning. Researchers value its rigorous peer-review process, which ensures only the most innovative contributions see print. With a focus on theoretical foundations and practical applications, the journal attracts submissions from leading academics worldwide, fostering advancements that influence industries from robotics to healthcare.
Publishing in Artificial Intelligence elevates a researcher's profile due to its high citation rates and association with Elsevier's vast distribution network. The journal's scope encompasses core AI topics, including neural networks, natural language processing, and multi-agent systems. Its impact factor of 14.050, as reported by Clarivate Journal Citation Reports for 2022, underscores its influence, placing it among the top-tier venues in computer science. For scholars aiming to disseminate work with lasting resonance, this journal provides unparalleled visibility.
Key to its appeal is the balance between depth and breadth, allowing interdisciplinary explorations that bridge computer science with cognitive science and philosophy. Submissions are evaluated for originality, methodological soundness, and potential impact, making acceptance a mark of excellence. As AI technologies permeate society, the journal's archives serve as a vital resource for understanding foundational principles.
Explore opportunities in AI research by checking AI PhD programs or computer science jobs. For academic planning, visit the academic calendar.
Overview & History
Launched in 1970, the Artificial Intelligence journal emerged during the early days of AI as a dedicated platform for theoretical and applied research. Published by Elsevier in the Netherlands, it has chronicled the evolution of the field from symbolic AI to modern deep learning paradigms. Over five decades, it has published thousands of articles that have become cornerstones of computer science literature.
The journal's history reflects AI's milestones, including contributions to search algorithms, planning, and learning systems. Its commitment to open inquiry has made it a hub for international collaboration, with editorial oversight ensuring diverse perspectives. Today, it continues to adapt, incorporating emerging areas like ethical AI and human-AI interaction.
Scope and Disciplines Covered
The Artificial Intelligence journal covers a wide array of topics within computer science, emphasizing foundational and innovative research. Its scope includes machine intelligence, knowledge-based systems, and computational models of cognition.
| Discipline | Description |
|---|---|
| Computer Science | Core algorithms, data structures, and computational theory in AI. |
| Artificial Intelligence | Machine learning, expert systems, and intelligent agents. |
| Cognitive Science | Models of human cognition and perception in AI contexts. |
| Robotics | AI applications in autonomous systems and control. |
Key Journal Metrics
Metrics highlight the journal's standing in academic publishing. Data sourced from Clarivate JCR and Scopus.
| Metric | Value | Source |
|---|---|---|
| Impact Factor (2022) | 14.050 | Clarivate JCR |
| 5-Year Impact Factor | 14.632 | Clarivate JCR |
| CiteScore | 24.5 | Scopus |
| h-Index | 145 | Scopus |
| Acceptance Rate | Not publicly disclosed | N/A |
Indexing and Abstracting
The journal is indexed in major databases, ensuring broad discoverability. It appears in Scopus, Web of Science (Science Citation Index Expanded), and INSPEC. Abstracting services include Computer Abstracts and Mathematical Reviews. Access full indexing details via Scopus or Web of Science.
Publication Model and Fees
Artificial Intelligence operates on a hybrid model, offering subscription access with open access options. Article Processing Charges (APC) for gold open access are approximately €3,570 (excluding taxes), as per Elsevier's policy. Subscription-based publication incurs no fees for authors. Check Sherpa/RoMEO for archiving rights: Sherpa/RoMEO.
Submission Process and Guidelines
Submissions are handled through Elsevier's Editorial Manager system. Authors must adhere to guidelines on formatting, ethics, and originality. Prepare manuscripts in LaTeX or Word, including abstracts and keywords. Review times average 4-6 months. Access the portal at the official journal homepage.
Editorial Board Highlights
The editorial board comprises experts from top institutions. Editor-in-Chief Joerg Hoffmann (Saarland University) leads a team including specialists in planning and verification. Other notables: Michael Wooldridge (Oxford) for multi-agent systems and Francesca Rossi (IBM) for AI ethics. Full board listed on the journal site.
Why Publish in Artificial Intelligence?
Publishing here offers high visibility, with articles reaching millions via ScienceDirect. The journal's prestige enhances career prospects, often cited in tenure evaluations. Its focus on impactful AI research aligns with funding priorities. Researchers benefit from rapid dissemination and global readership.
Comparison with Similar Journals
Compared to peers, Artificial Intelligence excels in theoretical depth.
| Journal | Impact Factor | Publisher | Focus |
|---|---|---|---|
| Journal of Artificial Intelligence Research | 3.7 | AI Access Foundation | Open access AI theory |
| AI Magazine | 2.5 | AAAI | Applied AI and applications |
| Machine Learning | 7.56 | Springer | Learning algorithms |
| Neural Networks | 9.38 | Elsevier | Neural computation |
Researcher Tips for Successful Submission
To succeed, ensure novelty and rigorous experimentation. Tailor abstracts to highlight AI contributions. Engage with recent issues for trends. Use Rate My Professor for mentor insights or explore AI research jobs. For timelines, consult the computer science academic calendar. Additional resources: machine learning PhD programs and tenure-track positions.