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.
Computer science92%
Mathematics82%
Machine learning76%
Artificial intelligence72%
Pattern recognition (psychology)68%
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 OutputQ1Γ
Features output statistics and 4 synchronized journal, conference, and book publications.
4 Works
ArticleSCOPUSOpen Access2025
Enhancing Stock Price Forecasting Accuracy Through Compositional Learning of Recurrent Architectures: A Multi-Variant RNN Approach
Kasse I.
ArticleSCOPUSOpen Access2022
Implementation of Long Short-Term Memory and Gated Recurrent Units on grouped time-series data to predict stock prices accurately
Lawi A.
ArticleSCOPUSOpen Access2022
Obesity Risk-Factor Variation Based on Island Clusters: A Secondary Analysis of Indonesian Basic Health Research 2018
Thamrin S.A.
ArticleSCOPUSOpen AccessSDG 32021
Predicting Obesity in Adults Using Machine Learning Techniques: An Analysis of Indonesian Basic Health Research 2018
Thamrin S.A.