Prabhat Kumar

2.8k total citations · 1 hit paper
103 papers, 1.7k citations indexed

About

Prabhat Kumar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Prabhat Kumar has authored 103 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 27 papers in Electrical and Electronic Engineering and 21 papers in Artificial Intelligence. Recurrent topics in Prabhat Kumar's work include Energy Efficient Wireless Sensor Networks (31 papers), Energy Harvesting in Wireless Networks (14 papers) and Mobile Ad Hoc Networks (14 papers). Prabhat Kumar is often cited by papers focused on Energy Efficient Wireless Sensor Networks (31 papers), Energy Harvesting in Wireless Networks (14 papers) and Mobile Ad Hoc Networks (14 papers). Prabhat Kumar collaborates with scholars based in India, United Kingdom and Finland. Prabhat Kumar's co-authors include Jyoti Prakash Singh, Sunil Kumar Singh, Maheshwari Prasad Singh, Akash Sinha, Gulshan Shrivastava, Rakesh Kumar, Nripendra P. Rana, Yogesh K. Dwivedi, Rubina Islam and Rajib Ghosh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Prabhat Kumar

92 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey on Successors of LEACH Protocol

2017 317 citations Prabhat Kumar, Jyoti Prakash Singh et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Prabhat Kumar India	18	834	500	341	227	177	103	1.7k
T. Umer Pakistan	23	782 0.9×	865 1.7×	255 0.7×	270 1.2×	180 1.0×	60	1.9k
Arslan Munir United States	26	655 0.8×	485 1.0×	255 0.7×	382 1.7×	440 2.5×	132	2.1k
Divya Anand India	20	311 0.4×	188 0.4×	242 0.7×	243 1.1×	131 0.7×	72	1.3k
Jenq‐Shiou Leu Taiwan	23	794 1.0×	492 1.0×	85 0.2×	354 1.6×	235 1.3×	167	1.7k
Muddesar Iqbal United Kingdom	20	991 1.2×	523 1.0×	132 0.4×	249 1.1×	192 1.1×	131	1.8k
Tasos Dagiuklas Greece	21	1.1k 1.3×	746 1.5×	120 0.4×	297 1.3×	313 1.8×	160	1.8k
Deepali Gupta India	22	341 0.4×	144 0.3×	242 0.7×	364 1.6×	248 1.4×	188	1.6k
Dharavath Ramesh India	24	332 0.4×	133 0.3×	306 0.9×	497 2.2×	100 0.6×	130	1.6k
Sushma Jain India	17	359 0.4×	223 0.4×	138 0.4×	315 1.4×	53 0.3×	57	1.3k
Amandeep Kaur India	21	255 0.3×	126 0.3×	326 1.0×	361 1.6×	228 1.3×	157	1.6k

Countries citing papers authored by Prabhat Kumar

Since Specialization

Citations

This map shows the geographic impact of Prabhat Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Prabhat Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prabhat Kumar more than expected).

Fields of papers citing papers by Prabhat Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabhat Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Prabhat Kumar. The network helps show where Prabhat Kumar may publish in the future.

Co-authorship network of co-authors of Prabhat Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Prabhat Kumar. A scholar is included among the top collaborators of Prabhat Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prabhat Kumar. Prabhat Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kumar, Prabhat, et al.. (2025). An efficient deep learning model for early disease detection in vegetable crops. Neural Computing and Applications. 37(26). 22141–22160.

Kumar, Prabhat, et al.. (2024). Implementation of optimal routing in heterogeneous wireless sensor network with multi‐channel Media Access Control protocol using Enhanced Henry Gas Solubility Optimizer. International Journal of Communication Systems. 38(1).

Sobin, C C, et al.. (2024). AI-Based Research Companion (ARC): An Innovative Tool for Fostering Research Activities in Undergraduate Engineering Education. 1–5. 2 indexed citations

Kumar, Prabhat, et al.. (2024). MLP-GNAS: Meta-learning-based predictor-assisted Genetic Neural Architecture Search system. Applied Soft Computing. 169. 112527–112527.

Kumar, Prabhat, et al.. (2024). Deep feature-support vector machine based hybrid model for multi-crop leaf disease identification in Corn, Rice, and Wheat. Multimedia Tools and Applications. 84(8). 4751–4771. 15 indexed citations

Kumar, Prabhat, et al.. (2024). MLNAS: Meta-learning based neural architecture search for automated generation of deep neural networks for plant disease detection tasks. Network Computation in Neural Systems. 36(4). 1582–1605.

Kumar, Prabhat, et al.. (2024). ML-CSFR: A Unified Crop Selection and Fertilizer Recommendation Framework based on Machine Learning. Scalable Computing Practice and Experience. 25(5). 4111–4127. 2 indexed citations

Kumar, Prabhat, et al.. (2024). Farm-Level Smart Crop Recommendation Framework Using Machine Learning. Annals of Data Science. 12(1). 117–140. 1 indexed citations

Kumar, Prabhat, et al.. (2024). Secure Access Control of Cloud Data Using DNA Computing. 1996–2001. 1 indexed citations

10.

Kumar, Prabhat, et al.. (2023). Location error analysis of WSN in 3D complex terrain. Journal of Control and Decision. 1–10.

11.

Kumar, Prabhat, et al.. (2023). A Unified Lightweight CNN-based Model for Disease Detection and Identification in Corn, Rice, and Wheat. IETE Journal of Research. 70(3). 2481–2492. 33 indexed citations

12.

Kumar, Prabhat, et al.. (2023). Web Real Time Communication (RTC). International Journal of Advanced Research in Science Communication and Technology. 193–195. 1 indexed citations

13.

Kumar, Prabhat, et al.. (2023). A meta-learning framework for recommending CNN models for plant disease identification tasks. Computers and Electronics in Agriculture. 207. 107708–107708. 14 indexed citations

14.

Kumar, Prabhat, et al.. (2023). An Improved Image Compression Algorithm Using 2D DWT and PCA with Canonical Huffman Encoding. Entropy. 25(10). 1382–1382. 7 indexed citations

15.

Kumar, Prabhat, et al.. (2023). Ensemble Based Feature Extraction and Deep Learning Classification Model with Depth Vision. Computing and Informatics. 42(4). 965–992. 1 indexed citations

16.

Kumar, Prabhat. (2021). Artificial Intelligence Impact on Consumers Purchase Decision: Online Apparel Market in India. 15539–15555. 1 indexed citations

17.

Kumar, Prabhat, et al.. (2019). A Survey on Iris Recognition System. International Journal of Computer Sciences and Engineering. 7(7). 302–307. 2 indexed citations

18.

Khari, Manju, Vaishali, & Prabhat Kumar. (2016). Embedding security in Software Development Life Cycle (SDLC). International Conference on Computing for Sustainable Global Development. 2182–2186. 5 indexed citations

19.

Srivastava, Ankita, Maheshwari Prasad Singh, & Prabhat Kumar. (2014). Supervised Semantic Analysis of Product Reviews Using Weighted k-NN Classifier. 1. 502–507. 5 indexed citations

20.

Kumar, Prabhat, et al.. (1994). Combining ability analysis for filament length and some quantitative traits in bivoltine mulberry silkworm (Bombyx mori L.). Indian Journal of Genetics and Plant Breeding (The). 54(3). 253–257. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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