Journal of Disability Research

Aims & Scope

The Journal of Disability Research (JDR) is a leading international publication that aims to advance innovation in disability research. Our mission is to publish high-quality, interdisciplinary studies that address critical issues affecting individuals with disabilities worldwide. We strive to foster collaboration, promote scientific integrity, and amplify voices that drive meaningful change.

Our journal focuses on a wide range of research areas, including:

* AI-driven diagnostic and assistive technologies

* Accessibility solutions for Deaf and Hard-of-Hearing audiences

* Deep learning models for seizure and autism detection

* Transfer learning in Alzheimer’s disease prediction

* Telemedicine usability among healthcare providers

* Multimodal rehabilitation systems for stroke patients

As JDR continues to expand its global footprint, we remain committed to publishing research that benefits individuals with disabilities worldwide. Our editorial team is dedicated to fostering a community of scholars who share our vision of advancing inclusive and impactful research.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Directory of Open Access Journals (DOAJ)
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Health Professions and Medicine, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Apc url
• Homepage
• Aims scope

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Health Professions and Medicine, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 1,100.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• A Conceptual Model for Inclusive Technology: Advancing Disability Inclusion through Artificial Intelligence

  Citation: 88

  Authors: Maram Fahaad, Sumaira, Mamoona, Samabia

• Autism Spectrum Disorder Prediction in Children Using Machine Learning

  Citation: 28

  Authors: Mahmoud M., Khamis A., E. M., H. E.

• Intellectual Disability and Technology: An Artificial Intelligence Perspective and Framework

  Citation: 28

  Authors: Maram Fahaad, Samabia, Mamoona, Sumaira

• A Review on Internet of Things (IoT)-Related Disabilities and Their Implications

  Citation: 19

  Authors: H. E., Khamis A., Mahmoud M., A. M.

• EASDM: Explainable Autism Spectrum Disorder Model Based on Deep Learning

  Citation: 16

  Authors: El-Sayed, Mehedi, Mahmoud, Hossam, Ibrahim, Abdulqader M.

• Deep Learning for Dyslexia Detection: A Comprehensive CNN Approach with Handwriting Analysis and Benchmark Comparisons

  Citation: 14

  Authors: Ghadah, Mamoon, Ala Saleh, Sapiah, Shakila

• Functionality and Comfort Design of Lower-Limb Prosthetics: A Review

  Citation: 13

  Authors: Khalid, Md Irfanul Haque, Hesham

• Mediverse Beyond Boundaries: A Comprehensive Analysis of AR and VR Integration in Medical Education for Diverse Abilities

  Citation: 13

  Authors: Abdul Khader Jilani, Abhishek, Muhammad Badruddin

• Developing System-based Voice Features for Detecting Parkinson’s Disease Using Machine Learning Algorithms

  Citation: 12

  Authors: Abdullah H., Theyazn H. H., Deepika

• Smart Assistive Navigation System for Visually Impaired People

  Citation: 10

  Authors: Gabriel Iluebe, Turke, Naeem