Research Fingerprints
Automated semantic analysis of research output.
Core Expertise
Semantic Radar
Complete Taxonomic Profile
Artificial intelligence analyzes all abstracts and manuscript metadata to precisely map the consistency and weight of research fields.
Medicine100%
Internal medicine50%
Coronavirus disease 2019 (COVID-19)50%
Infectious disease (medical specialty)50%
Mathematics50%
Disease50%
Pathology50%
Cardiorespiratory fitness25%
Meta-analysis25%
Randomized controlled trial25%
Physical therapy25%
Physical fitness25%
Confidence interval25%
Type 2 diabetes25%
Type 2 Diabetes Mellitus25%
No Co-Authored Relations Detected
Once publications with internal authors are synced, building the mapped network takes place automatically.
Global Collaborations & Top Areas
Interactive map showing the intensity of the author's research collaborations across the globe over the last five years.
Memuat peta kolaborasi…
Research Output
Features output statistics and 4 synchronized journal, conference, and book publications.
4 Works
ArticleSCOPUSOpen AccessSDG 32025
Investigating Fall-Related Factors in Community-Dwelling Older Women Through Structural Equation Modeling Analysis
Nur’amalia R.
ArticleSCOPUSOpen AccessSDG 32022
The Effect of Yoga on Health-Related Fitness among Patients with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis
Wibowo R.A.
ArticleSCOPUSOpen AccessSDG 32021
Emerging mutation in SARS-CoV-2 spike: Widening distribution over time in different geographic areas
Ysrafil Y.
ArticleSCOPUSOpen AccessSDG 32020
A summary of coronavirus disease 2019: What we should know?
Ysrafil Y.