WORK-A Journal of Prevention Assessment & Rehabilitation

Scope & Guideline

Empowering research for healthier work environments.

Introduction

Delve into the academic richness of WORK-A Journal of Prevention Assessment & Rehabilitation with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1051-9815
PublisherIOS PRESS
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1990 to 2024
AbbreviationWORK / Work
Frequency12 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 'WORK-A Journal of Prevention Assessment & Rehabilitation' focuses on the integration of advanced sensing technologies and artificial intelligence within the context of health, rehabilitation, and smart systems. Its primary aim is to publish innovative research that contributes to the fields of wireless sensor networks, the Internet of Things (IoT), and their applications in healthcare and environmental monitoring.
  1. Wireless Sensor Networks (WSNs):
    Research on the design, deployment, and optimization of wireless sensor networks, focusing on their application in various fields such as healthcare, agriculture, and environmental monitoring.
  2. Artificial Intelligence in Sensor Applications:
    Application of machine learning and AI techniques to enhance the functionalities of sensor systems, enabling better data analysis and decision-making processes.
  3. Privacy and Security in IoT:
    Exploration of privacy-preserving mechanisms and security protocols for data collected through IoT devices, especially in sensitive areas like healthcare.
  4. Energy Efficiency and Sustainability:
    Innovations aimed at improving energy efficiency in sensor networks, including energy harvesting techniques and energy-aware communication protocols.
  5. Human Activity Recognition:
    Development of systems and algorithms for recognizing and analyzing human activities using various sensing modalities, which can be applied in health monitoring and rehabilitation.
  6. Cyber-Physical Systems (CPS):
    Research on the integration of physical systems with computational elements, focusing on their application in smart environments and healthcare.
The journal has witnessed a rise in certain research themes that reflect current technological advancements and societal needs. These emerging topics are likely to shape the future direction of research in the field.
  1. AI-Enhanced Sensing and Analysis:
    There is a growing trend towards leveraging AI and machine learning for improving the accuracy and efficiency of sensor data analysis, particularly in healthcare and environmental applications.
  2. Smart and Sustainable Systems:
    Research focusing on the development of smart, sustainable systems that integrate renewable energy sources and energy-efficient technologies is gaining momentum.
  3. Federated Learning and Privacy-preserving Techniques:
    Emerging interest in federated learning approaches that allow for collaborative data analysis without compromising privacy, especially relevant in healthcare contexts.
  4. Multi-Modal Sensing Approaches:
    An increasing number of studies are exploring multi-modal sensing techniques that combine various data types (e.g., acoustic, visual, and RF signals) for enhanced monitoring capabilities.
  5. Blockchain for Security and Data Integrity:
    The integration of blockchain technology for enhancing security and data integrity in IoT applications is becoming a significant focus area, particularly in healthcare and smart city applications.

Declining or Waning

While the journal has shown a strong focus on certain themes, some areas appear to be declining in prominence over recent years. This can indicate shifts in research priorities or emerging technologies overshadowing previous interests.
  1. Traditional Healthcare Monitoring Systems:
    Research in conventional healthcare monitoring systems seems to be waning as more innovative and integrated approaches using IoT and AI take precedence.
  2. Basic Sensor Technologies:
    There is a noticeable decline in publications focused solely on basic sensor technology development, as the focus shifts towards more complex applications and integration.
  3. Static Data Analysis Techniques:
    The journal is seeing fewer papers on traditional static data analysis methods, with a growing preference for dynamic and real-time data processing solutions.
  4. Stand-alone Environmental Monitoring:
    Research dedicated to isolated environmental monitoring techniques is decreasing, likely due to the increasing emphasis on integrated systems that combine multiple data sources.
  5. Conventional Communication Protocols:
    The focus on traditional communication protocols for sensor networks is diminishing as newer, more efficient protocols and frameworks are being developed.

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