ScholarIQanswers from OpenAlex
Aditya Birla (India)
InstitutionResearch output, impact & collaborations
Aditya Birla (India) is a institution indexed in ScholarIQ from OpenAlex.
What is known about Aditya Birla (India)?
ScholarIQrecord summary
Aditya Birla (India) is a research organisation in Mumbai, IN. OpenAlex records 9,289 works and 90,854 citations for it. 5,747 researchers list it as their most recent affiliation.
How many works does Aditya Birla (India) have?
ScholarIQindexed works
Aditya Birla (India) has 9,289 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Aditya Birla (India) have?
ScholarIQcitation count
Aditya Birla (India) has 90,854 citations in the OpenAlex counts ScholarIQ stores.
How many researchers are at Aditya Birla (India)?
ScholarIQresearcher count
Aditya Birla (India) has 5,747 researchers in the ScholarIQ index.
What is the average h-index at Aditya Birla (India)?
ScholarIQavg h-index
Aditya Birla (India) has an average h-index of 10.8 in OpenAlex.
What is the ROR of Aditya Birla (India)?
ScholarIQror
The ROR for Aditya Birla (India) is on the source record.
What is the OpenAlex record for Aditya Birla (India)?
ScholarIQopenalex
The OpenAlex for Aditya Birla (India) is on the source record.
Who are the most-cited researchers behind Aditya Birla (India)?
ScholarIQtop researchers by citations
What are the most-cited papers on Aditya Birla (India)?
ScholarIQmost cited works
Intelligent Ultrasound Imaging for Enhanced Breast Cancer Diagnosis: Ensemble Transfer Learning Strategies
K. Sreenivasa Rao, Panduranga Vital Terlapu, D. Jayaram, K. Kishore Raju, Gaurav Kumar, Rambabu Pemula, M. Venu Gopalachari, S. Rakesh
AI-driven adaptive learning for enhancing business intelligence simulation games
G. Bharathi, I. Chandra, Durga Prasada Rao Sanagana, Chaitanya Kanth Tummalachervu, Vuda Sreenivasa Rao, S. Neelima
RETRACTED ARTICLE: Ensemble learning with recursive feature elimination integrated software effort estimation: a novel approach
K. Eswara Rao, G. Appa Rao
Improved Software Effort Estimation Through Machine Learning: Challenges, Applications, and Feature Importance Analysis
Panduranga Vital Terlapu, K. Kishore Raju, G. Kiran Kumar, G. Jagadeeswara Rao, K. Kavitha, Shirina Samreen
AI-enhanced predictive maintenance in hybrid roll-to-roll manufacturing integrating multi-sensor data and self-supervised learning
Lakshmana Phaneendra Maguluri, D. Suganthi, Girish M. Dhote, Dhiraj Kapila, Makarand Jadhav, S. Neelima
How much of the research on Aditya Birla (India) is open access?
ScholarIQopen access share
42%OPEN ACCESS