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Imad Shalout

ResearcherPublications, citations & collaboration network

Imad Shalout is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 6 works, 1 citations, an h-index of 1 and an i10-index of 0.

6
Works
1
Citations
1
h-index
0
i10-index

How has Imad Shalout's publication output changed over time?

ScholarIQpublication output · 2025–2026

Output declined50% over the shown period — from 4 works in 2025 to 2 in 2026.

4
2
20252026

What are the most-cited papers on Imad Shalout?

ScholarIQmost cited works
Location-Supported Lesions Representation with Potato Leaf Blight Disease Detection Using Dual-Head Convolutional Neural Network
Y. V. Bhaskar Reddy, Imad Shalout, K. Latha, Rajkumar Bhookya, Swathi B, R. Premkumar
20251 Citations
Energy-Efficient Deep Learning Framework for Skin Lesion Analysis on Wearable and Mobile Devices
N Rambabu, V Saranya Devi, Imad Shalout, S. L. Pradeep Kumar, A Shanthipriya, Maranan Ramya
20250 Citations
High Precise Bipolar Disorder Detection Through Dynamic Laterality and Kernel Density Estimation Based Neural Networks
Y. Ravi Sankar, Imad Shalout, L. Mastanamma, Venkata Ramaiah Kavuri, Vemuri Nitin, B Rajalakshmi
20250 Citations
Disease Index Estimation and Monitoring in Wheat Based on Canopy Spectral Transformation Through Machine Learning Models
Mondikathi Chiranjeevi, PulicharlaVenu Gopal, Imad Shalout, Mary Kannidi, R. Premkumar, Maranan Ramya
20250 Citations
An Innovative Design for Early Disease Detection in Apple Leaf and Fruit Using a Multi-Label Classification Model and Gaussian Bounding
Govindaraj Ramkumar, P. Arun Nambi, Imad Shalout, T. Sreenivasa Murthy, A Yadagiri, Devarshini D Raj
20260 Citations

Related on ScholarIQ

Zarqa University
Institution
Location-Supported Lesions Representation with Potato Leaf Blight Disease Detection Using Dual-Head Convolutional Neural Network
Paper
Energy-Efficient Deep Learning Framework for Skin Lesion Analysis on Wearable and Mobile Devices
Paper
High Precise Bipolar Disorder Detection Through Dynamic Laterality and Kernel Density Estimation Based Neural Networks
Paper
Disease Index Estimation and Monitoring in Wheat Based on Canopy Spectral Transformation Through Machine Learning Models
Paper
An Innovative Design for Early Disease Detection in Apple Leaf and Fruit Using a Multi-Label Classification Model and Gaussian Bounding
Paper
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