Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex & ORCID
Kush Bhushanwar
ResearcherPublications, citations & collaboration network
Kush Bhushanwar is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 10 works, 26 citations, an h-index of 2 and an i10-index of 1.
10
Works
26
Citations
2
h-index
1
i10-index
IDs:OpenAlex
How has Kush Bhushanwar's publication output changed over time?
ScholarIQpublication output · 2024–2026
Output declined67% over the shown period — from 3 works in 2024 to 1 in 2026.
3
6
1
202420252026
What are the most-cited papers on Kush Bhushanwar?
ScholarIQmost cited works
Dual Purpose IoT Enabled Smart Cleaner Hexabot with Edge Detection Mechanism
Mohammad Shahnawaz Shaikh, Kush Bhushanwar, Nilesh Khodifad, Syed Ibad Ali
202423 Citations
Enhancing Sustainability, Climate Resilience, and Resource Efficiency with IoT-Based Precision Agriculture
Ramanjot Kaur, Deepa Nehra, Kush Bhushanwar
International Journal of Research and Review in Applied Science Humanities and Technology. 20252 CitationsOPEN ACCESS
Social Media Analysis for Criminal Behavior Detection: Methods, Application and Challenge
Prachi Patel, Kush Bhushanwar, Hemlata Patel
20251 Citations
Using IOT and ITV to Connect, Monitor, and Automate Common Areas Used by Households
Shailendra Kumar, Kush Bhushanwar, M. Hari Krishna, Kavi Bhushan, Gaurav Sethi, Patel Yogesh kumar Jethabhai
20240 Citations
Anomalous Behavior Detection in ATM using Different Methodologies: A Review
Harsh Thakre, Kush Bhushanwar, Anil Patel
20240 Citations
Related on ScholarIQ
Symbiosis International University
Institution
Dual Purpose IoT Enabled Smart Cleaner Hexabot with Edge Detection Mechanism
Paper
Enhancing Sustainability, Climate Resilience, and Resource Efficiency with IoT-Based Precision Agriculture
Paper
Social Media Analysis for Criminal Behavior Detection: Methods, Application and Challenge
Paper
Using IOT and ITV to Connect, Monitor, and Automate Common Areas Used by Households
Paper
Anomalous Behavior Detection in ATM using Different Methodologies: A Review
Paper