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.
Materials science100%
Composite material94%
Geotechnical engineering91%
Engineering81%
Geology72%
Environmental science50%
Compressive strength47%
Soil science34%
Structural engineering34%
Soil water31%
Curing (chemistry)31%
Mathematics25%
Bearing capacity22%
Computer science22%
Cement22%
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.
Mapping geodata...
Research OutputQ3×
Features output statistics and 3 synchronized journal, conference, and book publications.
3 Works
ArticleSCOPUSOpen AccessSDG 22025
Machine learning-based soil classification: leveraging resistivity and CPT data for enhanced prediction accuracy
Nurhasanah
ArticleSCOPUSOpen Access2025
UTILIZATION OF DREDGED SOIL-EPS MIXTURE AS A LIGHTWEIGHT MODULAR BLOCKS: A STUDY ON THE BEARING CAPACITY
Marfuah N.
ArticleSCOPUSOpen AccessSDG 112023
BEHAVIOUR OF RC FRAME USING PRECAST FOAM CONCRETE STRENGTHENED WITH CFRP AS AN INFILL WALL UNDER HORIZONTAL CYCLIC LOADING
Sunarno Y.