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Artificial Intelligence - Elsevier | 2024 Impact Factor:4.6 | Cite Score:15.0 | Q1

Artificial Intelligence Journal

Impact Factor and Journal Rank of Artificial Intelligence

  • About: Artificial Intelligence(AI) is a branch of computer science that focuses on the development of intelligent systems capable of performing tasks that typically require human intelligence. These tasks include understanding natural language, recognizing patterns, learning from experience, reasoning, problem-solving, and adapting to new situations. AI aims to create machines that can mimic, supplement, or even surpass human cognitive abilities across various domains.
  • Objective: The primary objective of artificial intelligence is to develop intelligent systems that can perceive their environment, reason about it, and take actions to achieve specific goals. AI systems are designed to exhibit behaviors such as learning from data, understanding natural language, recognizing patterns, making decisions, and interacting with humans and other machines autonomously.
  • Applications: AI technologies have applications across various domains, including healthcare, finance, transportation, education, entertainment, cybersecurity, agriculture, manufacturing, and many others. Examples of AI applications include virtual assistants (e.g., Siri, Alexa), recommendation systems (e.g., Netflix, Amazon), autonomous vehicles, medical diagnosis systems, language translation tools, and industrial robots.
  • Ethical and Societal Considerations: The development and deployment of AI technologies raise important ethical, social, and economic considerations. These include concerns about bias and fairness in AI algorithms, privacy and data protection, job displacement due to automation, the impact on human autonomy, and the potential misuse of AI for malicious purposes. Addressing these challenges requires interdisciplinary collaboration and thoughtful regulation of AI technologies.
  • Future Directions: The field of artificial intelligence is rapidly evolving, with ongoing research and development aimed at advancing the capabilities of AI systems and addressing current limitations and challenges. Future directions in AI include achieving human-level or superhuman intelligence, developing AI systems with common sense reasoning and ethical reasoning capabilities, and ensuring the responsible and beneficial deployment of AI technologies for the betterment of society.

  • Editor-in-Chief:  Sylvie Thiebaux

  • Scope: The field of Artificial Intelligence (AI) is vast and encompasses a wide range of topics, methodologies, and applications aimed at creating systems that can perform tasks that typically require human intelligence.
  • Here is an overview of the scope of Artificial Intelligence:
  • Machine Learning: Machine learning is a core subfield of AI focused on developing algorithms and techniques that enable computers to learn from data and improve their performance over time without explicit programming. This includes supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and deep learning.
  • Natural Language Processing (NLP): NLP involves the development of algorithms and techniques for understanding, generating, and processing human language in both written and spoken forms. This includes tasks such as language translation, sentiment analysis, text summarization, question answering, and dialogue systems.
  • Computer Vision: Computer vision focuses on enabling computers to interpret and understand visual information from images or videos. This includes tasks such as object detection, image classification, image segmentation, facial recognition, scene understanding, and image generation.
  • Robotics: Robotics is the field concerned with the design, development, and deployment of physical robots that can perform tasks autonomously or semi-autonomously in the physical world. This includes topics such as robot perception, motion planning, manipulation, navigation, and human-robot interaction.
  • Knowledge Representation and Reasoning: Knowledge representation and reasoning involve developing formalisms and techniques for representing and manipulating knowledge in a way that enables AI systems to reason, infer, and make decisions. This includes symbolic AI, ontologies, logic programming, and automated reasoning.
  • AI Ethics and Fairness: AI ethics involves studying the ethical implications of AI technologies, including issues such as bias, fairness, transparency, accountability, privacy, and the societal impact of AI systems. This includes developing guidelines, regulations, and ethical frameworks for the responsible development and deployment of AI.
  • AI Applications: AI finds applications across various domains, including healthcare, finance, education, transportation, agriculture, entertainment, manufacturing, and cybersecurity. AI technologies are used to develop intelligent systems, tools, and applications that can automate tasks, enhance decision-making, and improve efficiency and productivity.
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  • Print ISSN:  00043702

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2023:  4.6

  • Subject Area and Category:  Arts and Humanities ,Language and Linguistics,Computer Science,Artificial Intelligence,Social Sciences,Linguistics and Language

  • Publication Frequency:  

  • H Index:  174

  • Best Quartile:

    Q1:  Artificial Intelligence

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  • Cite Score:  15.0

  • SNIP:  3.302

  • Journal Rank(SJR):  1.836