Scholar IQ
Try ScholarIQ free
Upload Records Snowball Search Search OpenAlex
About the database
On this page:OverviewPublicationsKey papers
ScholarIQanswers from OpenAlex & ORCID

Alex David S

ResearcherPublications, citations & collaboration network

Alex David S is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 65 works, 416 citations, an h-index of 12 and an i10-index of 17.

65
Works
416
Citations
12
h-index
17
i10-index

How has Alex David S's publication output changed over time?

ScholarIQpublication output · 2018–2024

Output grew150% over the shown period — from 2 works in 2018 to 5 in 2024.

2
1
2
5
2018202220232024

What are the most-cited papers on Alex David S?

ScholarIQmost cited works
Predictive Modeling for Medical Insurance Malpractice Using Random Forest and XGBoost
M J Carmel Mary Belida, Almas Begum, Alex David S, E. Kannan, K Senthil, N. Ruth Naveena
202432 Citations
Retinal Blood Vessels and Optic Disc Segmentation Using U-Net
Alex David S, C. Mahesh, V. Dhilip Kumar, Kemal Polat, Adi Alhudhaif, Majid Nour
S178238111. 202229 CitationsOPEN ACCESS
Raspberry Pi in Computer Science and Engineering Education
Alex David S, S Ravikumar, Asma Parveen
Lecture notes in electrical engineering. 201822 Citations
Deep Learning Techniques Advancements in Apple Leaf Disease Detection
E. Kannan, Carmel Mary Belinda M J, Alex David S, Ruth Naveena N, Almas Begum, D Hemalatha
Procedia Computer Science. 202422 CitationsOPEN ACCESS
Deep Learning Advances in Brain Tumor Classification: Leveraging VGG16 and MobileNetV2 for Accurate MRI Diagnostics
Alex David S, Almas Begum, S. Ismail Kalilulah, Ruth Naveena N, K. Rajathi, D Hemalatha
202422 Citations

Related on ScholarIQ

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Institution
Predictive Modeling for Medical Insurance Malpractice Using Random Forest and XGBoost
Paper
Retinal Blood Vessels and Optic Disc Segmentation Using U-Net
Paper
Raspberry Pi in Computer Science and Engineering Education
Paper
Deep Learning Techniques Advancements in Apple Leaf Disease Detection
Paper
Deep Learning Advances in Brain Tumor Classification: Leveraging VGG16 and MobileNetV2 for Accurate MRI Diagnostics
Paper
470M+ articles · free account