Vipul Narayan

1.3k total citations · 2 hit papers
22 papers, 452 citations indexed

About

Vipul Narayan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vipul Narayan has authored 22 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 8 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vipul Narayan's work include Energy Efficient Wireless Sensor Networks (10 papers), IoT-based Smart Home Systems (5 papers) and Energy Harvesting in Wireless Networks (4 papers). Vipul Narayan is often cited by papers focused on Energy Efficient Wireless Sensor Networks (10 papers), IoT-based Smart Home Systems (5 papers) and Energy Harvesting in Wireless Networks (4 papers). Vipul Narayan collaborates with scholars based in India, China and Poland. Vipul Narayan's co-authors include A. K. Daniel, Pawan Kumar Mall, Maria Ganzha, Marcin Paprzycki, Pradeep Kumar Singh, Mohammad Faiz, Anurag Gupta, Xuan Tang, V. Saravanan and Arun Pratap Srivastava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Wireless Personal Communications and Cluster Computing.

In The Last Decade

Vipul Narayan

21 papers receiving 416 citations

Hit Papers

A comprehensive review of deep neural networks for medica... 2023 2026 2024 2025 2023 2023 40 80 120
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.

  1. A comprehensive review of deep neural networks for medical image processing: Recent developments and future opportunities
    2023 123 citations Pawan Kumar Mall, Pradeep Kumar Singh et al. SHILAP Revista de lepidopterología profile →
  2. A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease
    2023 79 citations Vipul Narayan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vipul Narayan India 11 133 104 85 78 74 22 452
Ahmed Alahmadi Saudi Arabia 11 139 1.0× 159 1.5× 95 1.1× 41 0.5× 74 1.0× 39 477
Jiayi Lu China 9 83 0.6× 149 1.4× 48 0.6× 57 0.7× 44 0.6× 20 360
Muhammad Sheraz Arshad Malik Pakistan 10 77 0.6× 133 1.3× 53 0.6× 59 0.8× 94 1.3× 31 430
V. D. Ambeth Kumar India 12 106 0.8× 131 1.3× 98 1.2× 38 0.5× 116 1.6× 84 514
Nizar Alsharif Saudi Arabia 12 251 1.9× 166 1.6× 209 2.5× 72 0.9× 35 0.5× 23 594
Tarek M. Hassan Egypt 9 51 0.4× 92 0.9× 87 1.0× 73 0.9× 59 0.8× 29 360
Shubhi Gupta India 12 103 0.8× 62 0.6× 57 0.7× 48 0.6× 50 0.7× 37 331
Abdullah Al Hejaili Saudi Arabia 12 103 0.8× 144 1.4× 27 0.3× 56 0.7× 75 1.0× 45 359
Md. Mahfuz Reza Bangladesh 8 180 1.4× 100 1.0× 90 1.1× 92 1.2× 63 0.9× 15 426
Mohammed Alkhathami Saudi Arabia 13 100 0.8× 114 1.1× 38 0.4× 44 0.6× 63 0.9× 52 392

Countries citing papers authored by Vipul Narayan

Since Specialization
Citations

This map shows the geographic impact of Vipul Narayan'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 Vipul Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vipul Narayan more than expected).

Fields of papers citing papers by Vipul Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vipul Narayan. 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 Vipul Narayan. The network helps show where Vipul Narayan may publish in the future.

Co-authorship network of co-authors of Vipul Narayan

This figure shows the co-authorship network connecting the top 25 collaborators of Vipul Narayan. A scholar is included among the top collaborators of Vipul Narayan 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 Vipul Narayan. Vipul Narayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Daniel, A. K., et al.. (2024). Coverage Prediction for Target Coverage in WSN Using Machine Learning Approaches. Wireless Personal Communications. 137(2). 931–950. 2 indexed citations
2.
Narayan, Vipul, et al.. (2024). A Scientific Programming Based Effective and Precise Iris Acknowledgement Algorithm. Traitement du signal. 41(6). 2947–2960.
3.
Faiz, Mohammad, et al.. (2024). Enhancement in performance of cloud computing task scheduling using optimization strategies. Cluster Computing. 27(5). 6265–6288. 14 indexed citations
4.
Narayan, Vipul & A. K. Daniel. (2023). FBCHS: Fuzzy Based Cluster Head Selection Protocol to Enhance Network Lifetime of WSN. SHILAP Revista de lepidopterología. 11(3). 285–307. 6 indexed citations
5.
Narayan, Vipul, et al.. (2023). E-FEERP: Enhanced Fuzzy Based Energy Efficient Routing Protocol for Wireless Sensor Network. Wireless Personal Communications. 131(1). 371–398. 39 indexed citations
6.
Narayan, Vipul, et al.. (2023). Severity of Lumpy Disease detection based on Deep Learning Technique. 507–512. 7 indexed citations
7.
Arya, Arti, et al.. (2023). Audio Deepfake Detection Using Deep Learning. 176–181. 6 indexed citations
8.
Narayan, Vipul, et al.. (2023). FuzzyNet: Medical Image Classification based on GLCM Texture Feature. 769–773. 23 indexed citations
9.
Narayan, Vipul, et al.. (2023). A Comprehensive Review of Various Approach for Medical Image Segmentation and Disease Prediction. Wireless Personal Communications. 132(3). 1819–1848. 17 indexed citations
10.
Narayan, Vipul, et al.. (2023). Deep Learning Approaches for Human Gait Recognition: A Review. 763–768. 19 indexed citations
11.
Mall, Pawan Kumar, et al.. (2023). A comprehensive review of deep neural networks for medical image processing: Recent developments and future opportunities. SHILAP Revista de lepidopterología. 4. 100216–100216. 123 indexed citations breakdown →
12.
Tang, Xuan, et al.. (2022). Prediction of Quality Food Sale in Mart Using the AI-Based TOR Method. Journal of Food Quality. 2022. 1–9. 15 indexed citations
13.
Narayan, Vipul, et al.. (2022). CHOP: Maximum Coverage Optimization and Resolve Hole Healing Problem using Sleep and Wake-up Technique for WSN. SHILAP Revista de lepidopterología. 11(2). 159–178. 7 indexed citations
14.
Narayan, Vipul & A. K. Daniel. (2022). CHHP: coverage optimization and hole healing protocol using sleep and wake-up concept for wireless sensor network. International Journal of Systems Assurance Engineering and Management. 13(S1). 546–556. 21 indexed citations
15.
Narayan, Vipul & A. K. Daniel. (2021). A Novel Approach for Cluster Head Selection using Trust Function in WSN. Scalable Computing Practice and Experience. 22(1). 1–13. 27 indexed citations
16.
Narayan, Vipul & A. K. Daniel. (2020). Design consideration and issues in wireless sensor network deployment. 13(3). 101–101. 4 indexed citations
17.
Narayan, Vipul & A. K. Daniel. (2020). Multi-Tier Cluster Based Smart Farming Using Wireless Sensor Network. 1–5. 10 indexed citations
18.
Narayan, Vipul, et al.. (2020). Energy Efficient Two Tier Cluster Based Protocol for Wireless Sensor Network. 574–579. 14 indexed citations
19.
Narayan, Vipul, et al.. (2019). A Research Protocol for Detection and Optimization of Overlapping Coverage in Wireless Sensor Networks. International Journal of Engineering and Advanced Technology. 8(6S). 1–6. 3 indexed citations
20.
Narayan, Vipul & A. K. Daniel. (2019). A Novel Protocol for Detection and Optimization of Overlapping Coverage in Wireless Sensor Networks. International Journal of Engineering and Advanced Technology. 8(6s). 1–6. 9 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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