Indexing

Medivara Journal of Nursing and Midwifery  is committed to increasing the visibility, accessibility, and dissemination of published articles through reputable indexing and abstracting services. As a newly established journal, Medivara Journal of Nursing and Midwifery   is currently in the process of applying for inclusion in various national and international indexing databases to enhance the discoverability and academic impact of published research.

The journal is continuously working toward inclusion in recognized indexing and abstracting services, including but not limited to:

Scholar Search Engines

• Google Scholar 
• WorldCat 
• Bielefeld Academic Search Engine (BASE) 

General Indexing Services

• Crossref 
• PKP Index 

Regional and National Indexing Services

• Garuda (Garba Rujukan Digital) 
• Indonesia OneSearch 
• Dimensions 
• OpenAIRE 

Medivara Journal of Nursing and Midwifery will continue to improve its publication quality and editorial standards to achieve inclusion in reputable national and international indexing databases.