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Prabhat Kumar

ResearcherPublications, citations & collaboration network

Prabhat Kumar is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 175 works, 2,996 citations, an h-index of 25 and an i10-index of 57.

175
Works
2,996
Citations
25
h-index
57
i10-index

How has Prabhat Kumar's publication output changed over time?

ScholarIQpublication output · 2015–2023

Output declined50% over the shown period — from 2 works in 2015 to 1 in 2023.

2
3
3
1
1
1
201520172019202020222023

What are the most-cited papers on Prabhat Kumar?

ScholarIQmost cited works
A Survey on Successors of LEACH Protocol
Sunil Kumar Singh, Prabhat Kumar, Jyoti Prakash Singh
IEEE Access. 2017425 CitationsOPEN ACCESS
Crop Selection Method to maximize crop yield rate using machine learning technique
Rakesh Kumar, Maheshwari Prasad Singh, Prabhat Kumar, Jyoti Prakash Singh
2015315 Citations
Impact of internet of things (IoT) in disaster management: a task-technology fit perspective
Akash Sinha, Prabhat Kumar, Nripendra P. Rana, Rubina Islam, Yogesh K. Dwivedi
S57667410. 2017210 CitationsOPEN ACCESS
Defensive Modeling of Fake News Through Online Social Networks
Gulshan Shrivastava, Prabhat Kumar, Rudra Pratap Ojha, Pramod Kumar Srivastava, Senthilkumar Mohan, Gautam Srivastava
S2490693980. 2020157 CitationsOPEN ACCESS
Deep learning-based approach for identification of diseases of maize crop
Md. Ashraful Haque, Sudeep Marwaha, Chandan Kumar Deb, Sapna Nigam, Alka Arora, K. S. Hooda, P. Lakshmi Soujanya, Sumit Kumar Aggarwal, Brejesh Lall, Mukesh Kumar, Shahnawazul Islam, Mohit Panwar, Prabhat Kumar, Rishi Agrawal
Scientific Reports. 2022152 CitationsOPEN ACCESS

Related on ScholarIQ

National Institute of Technology Patna
Institution
A Survey on Successors of LEACH Protocol
Paper
Crop Selection Method to maximize crop yield rate using machine learning technique
Paper
Impact of internet of things (IoT) in disaster management: a task-technology fit perspective
Paper
Defensive Modeling of Fake News Through Online Social Networks
Paper
Deep learning-based approach for identification of diseases of maize crop
Paper
470M+ articles · free account