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Anjan Bandyopadhyay

ResearcherPublications, citations & collaboration network

Anjan Bandyopadhyay is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 186 works, 571 citations, an h-index of 11 and an i10-index of 16.

186
Works
571
Citations
11
h-index
16
i10-index

How has Anjan Bandyopadhyay's publication output changed over time?

ScholarIQpublication output · 2016–2025

Output grew100% over the shown period — from 1 works in 2016 to 2 in 2025.

1
1
1
3
3
2
201620172020202320242025

What are the most-cited papers on Anjan Bandyopadhyay?

ScholarIQmost cited works
Combinatorial Auction-Based Fog Service Allocation Mechanism for IoT Applications
Anjan Bandyopadhyay, Taniya Sarkar Roy, Vaskar Sarkar, Saurav Mallik
202030 Citations
Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing
Pritam Chakraborty, Anjan Bandyopadhyay, Preeti Padma Sahu, Aniket Burman, Saurav Mallik, Najah Alsubaie, Mohamed Abbas, Mohammed S. Alqahtani, Ben Othman Soufiene
S19032547. 202428 CitationsOPEN ACCESS
PDD-ET: Parkinson’s Disease Detection Using ML Ensemble Techniques and Customized Big Dataset
Kalyan Chatterjee, Ramagiri Praveen Kumar, Anjan Bandyopadhyay, Sujata Swain, Saurav Mallik, Aimin Li, Kanad Ray
S4210219776. 202325 CitationsOPEN ACCESS
EdgeMatch: A Smart Approach for Scheduling IoT-Edge Tasks With Multiple Criteria Using Game Theory
Anjan Bandyopadhyay, Vagisha Mishra, Sujata Swain, Kalyan Chatterjee, Sweta Dey, Saurav Mallik, Amal Al‐Rasheed, Mohamed Abbas, Ben Othman Soufiene
IEEE Access. 202423 CitationsOPEN ACCESS
Allocating resources in cloud computing when users have strict preferences
Anjan Bandyopadhyay, Sajal Mukhopadhyay, Uttam Ganguly
201620 Citations

Related on ScholarIQ

KIIT University
Institution
Combinatorial Auction-Based Fog Service Allocation Mechanism for IoT Applications
Paper
Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing
Paper
PDD-ET: Parkinson’s Disease Detection Using ML Ensemble Techniques and Customized Big Dataset
Paper
EdgeMatch: A Smart Approach for Scheduling IoT-Edge Tasks With Multiple Criteria Using Game Theory
Paper
Allocating resources in cloud computing when users have strict preferences
Paper
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