Journal of Ambient Intelligence and Smart Environments

Scope & Guideline

Transforming Spaces, Enriching Lives.

Introduction

Explore the comprehensive scope of Journal of Ambient Intelligence and Smart Environments through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Journal of Ambient Intelligence and Smart Environments in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1876-1364
PublisherIOS PRESS
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2009 to 2024
AbbreviationJ AMB INTEL SMART EN / J. Ambient Intell. Smart Environ.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressNIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS

Aims and Scopes

The Journal of Ambient Intelligence and Smart Environments focuses on the intersection of ambient intelligence, smart environments, and the Internet of Things (IoT). It aims to disseminate research that contributes to the development of intelligent systems that enhance the quality of life through smart technologies.
  1. Ambient Intelligence:
    Research on systems that proactively adapt to the needs of users in smart environments, enhancing user experience and promoting comfort.
  2. IoT and Smart Systems:
    Exploration of IoT applications in various domains, including healthcare, smart homes, and urban management, emphasizing networked devices and data management.
  3. Data-driven Decision Making:
    Application of machine learning and statistical models to analyze data from smart environments, facilitating real-time decision-making and automation.
  4. Human-Computer Interaction:
    Investigating user interactions with smart systems, focusing on improving usability and accessibility for diverse populations.
  5. Sustainable and Energy-efficient Technologies:
    Research aimed at developing technologies that promote energy efficiency and sustainability within smart environments.
Recent publications in the Journal of Ambient Intelligence and Smart Environments reflect a dynamic evolution of research themes, highlighting areas of increasing interest and importance in the field.
  1. Hybrid and Adaptive Systems:
    There is a growing trend towards hybrid systems that combine various technologies (e.g., IoT, AI, and robotics) for adaptive functionalities in smart environments.
  2. Smart Healthcare Innovations:
    An emerging focus on smart healthcare solutions that utilize IoT and AI for patient monitoring, disease prediction, and personalized medicine.
  3. Data Privacy and Security in Smart Environments:
    As smart environments proliferate, there is an increasing emphasis on addressing privacy concerns and developing secure systems, particularly in healthcare and urban applications.
  4. Environmental Sustainability through Smart Technologies:
    Research is increasingly addressing the role of smart technologies in promoting sustainability, particularly in energy management and resource conservation.
  5. User-Centric Design and User Experience:
    A notable rise in studies focused on improving user interaction and experience with smart systems, emphasizing the importance of user engagement in technology adoption.

Declining or Waning

Over the years, certain themes within the Journal of Ambient Intelligence and Smart Environments have seen a noticeable decline in focus. This may indicate a shift in research priorities or a saturation of certain topics.
  1. Traditional Smart Home Technologies:
    Papers focusing solely on basic smart home automation have become less frequent as the field evolves towards more integrated and advanced systems.
  2. Conventional Data Processing Techniques:
    Research emphasizing traditional data processing methods is waning in favor of more sophisticated machine learning and AI approaches that offer better insights from data.
  3. Basic Environmental Monitoring Systems:
    Studies that merely document environmental parameters without integrating them into broader intelligent systems are becoming less common.
  4. Standalone Health Monitoring Devices:
    Research on isolated health monitoring devices is decreasing as the focus shifts to integrated health solutions within smart environments.

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