Nilesh Kumar Jadav

1.2k total citations
95 papers, 631 citations indexed

About

Nilesh Kumar Jadav is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Nilesh Kumar Jadav has authored 95 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 38 papers in Information Systems and 31 papers in Electrical and Electronic Engineering. Recurrent topics in Nilesh Kumar Jadav's work include Blockchain Technology Applications and Security (28 papers), IoT and Edge/Fog Computing (15 papers) and Vehicular Ad Hoc Networks (VANETs) (14 papers). Nilesh Kumar Jadav is often cited by papers focused on Blockchain Technology Applications and Security (28 papers), IoT and Edge/Fog Computing (15 papers) and Vehicular Ad Hoc Networks (VANETs) (14 papers). Nilesh Kumar Jadav collaborates with scholars based in India, Saudi Arabia and Romania. Nilesh Kumar Jadav's co-authors include Sudeep Tanwar, Rajesh Gupta, Ravi Sharma, Amr Tolba, Maria Simona Raboacă, Mohammad Dahman Alshehri, Neeraj Kumar, Marina Verdeș, Fayez Alqahtani and Pronaya Bhattacharya and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Nilesh Kumar Jadav

81 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nilesh Kumar Jadav India 15 235 222 201 122 55 95 631
P. Karthikeyan India 12 256 1.1× 252 1.1× 164 0.8× 76 0.6× 66 1.2× 77 579
Emiliano Tramontana Italy 15 240 1.0× 277 1.2× 264 1.3× 94 0.8× 86 1.6× 126 746
Senthil Murugan Nagarajan India 17 294 1.3× 159 0.7× 244 1.2× 73 0.6× 114 2.1× 29 720
Tai‐Won Um South Korea 15 443 1.9× 320 1.4× 199 1.0× 126 1.0× 46 0.8× 60 765
Matthew O. Adigun South Africa 13 365 1.6× 222 1.0× 164 0.8× 117 1.0× 109 2.0× 163 725
Ganesh Gopal Deverajan India 11 242 1.0× 115 0.5× 147 0.7× 96 0.8× 33 0.6× 11 489
Sumarga Kumar Sah Tyagi China 12 337 1.4× 277 1.2× 152 0.8× 190 1.6× 28 0.5× 18 714
Preeti Gulia India 13 174 0.7× 140 0.6× 187 0.9× 61 0.5× 71 1.3× 95 571
Mu‐En Wu Taiwan 15 169 0.7× 212 1.0× 263 1.3× 158 1.3× 42 0.8× 74 799
Munesh Chandra Trivedi India 16 257 1.1× 243 1.1× 233 1.2× 90 0.7× 67 1.2× 75 742

Countries citing papers authored by Nilesh Kumar Jadav

Since Specialization
Citations

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

Fields of papers citing papers by Nilesh Kumar Jadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nilesh Kumar Jadav. 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 Nilesh Kumar Jadav. The network helps show where Nilesh Kumar Jadav may publish in the future.

Co-authorship network of co-authors of Nilesh Kumar Jadav

This figure shows the co-authorship network connecting the top 25 collaborators of Nilesh Kumar Jadav. A scholar is included among the top collaborators of Nilesh Kumar Jadav 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 Nilesh Kumar Jadav. Nilesh Kumar Jadav 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.
Jadav, Nilesh Kumar, et al.. (2025). ANN and blockchain-orchestrated decentralized data-driven analytical framework for ship fuel oil consumption. Applied Ocean Research. 158. 104553–104553. 2 indexed citations
2.
Jadav, Nilesh Kumar, Rajesh Gupta, Sudeep Tanwar, et al.. (2025). A deep learning-orchestrated garlic routing architecture for secure telesurgery operations in healthcare 4.0. Egyptian Informatics Journal. 30. 100662–100662. 1 indexed citations
3.
Jadav, Nilesh Kumar, et al.. (2024). A Survey on AI-based Parkinson Disease Detection: Taxonomy, Case Study, and Research Challenges. Scalable Computing Practice and Experience. 25(3). 1402–1423. 2 indexed citations
4.
Jadav, Nilesh Kumar & Sudeep Tanwar. (2024). Whale optimization-orchestrated Federated Learning-based resource allocation scheme for D2D communication. Ad Hoc Networks. 163. 103565–103565. 2 indexed citations
5.
Jadav, Nilesh Kumar, et al.. (2024). A comprehensive survey on social engineering attacks, countermeasures, case study, and research challenges. Information Processing & Management. 62(1). 103928–103928. 2 indexed citations
6.
Gupta, Rajesh, Nilesh Kumar Jadav, Sudeep Tanwar, et al.. (2024). Blockchain-Orchestrated Intelligent Water Treatment Plant Profiling Framework to Enhance Human Life Expectancy. IEEE Access. 12. 49151–49166. 3 indexed citations
7.
Jadav, Nilesh Kumar, et al.. (2024). X-NET: Explainable AI-Based Network Data Security Framework for Healthcare 4.0. 481–486. 1 indexed citations
8.
9.
Jadav, Nilesh Kumar, Sudeep Tanwar, Giovanni Pau, et al.. (2024). GreenLand: A Secure Land Registration Scheme for Blockchain and AI-Enabled Agriculture Industry 5.0. IEEE Access. 12. 120994–121009. 2 indexed citations
10.
Jadav, Nilesh Kumar, Sudeep Tanwar, Giovanni Pau, et al.. (2024). Fuzzy-Enhanced Secure Messaging Framework for Smart Healthcare System. IEEE Access. 12. 102977–102993. 5 indexed citations
11.
Jadav, Nilesh Kumar, et al.. (2024). Blockchain-Envisioned Onion Routing Framework for Internet of Vehicles Communication toward 6G. IEEE Internet of Things Magazine. 7(1). 82–88. 1 indexed citations
12.
Jadav, Nilesh Kumar, Rajesh Gupta, Sudeep Tanwar, et al.. (2023). Deep Learning-Based Malicious Smart Contract and Intrusion Detection System for IoT Environment. Mathematics. 11(2). 418–418. 43 indexed citations
13.
Jadav, Nilesh Kumar, Sudeep Tanwar, Ravi Sharma, et al.. (2023). Blockchain-Driven Intelligent Scheme for IoT-Based Public Safety System beyond 5G Networks. Sensors. 23(2). 969–969. 25 indexed citations
14.
Jadav, Nilesh Kumar, Sudeep Tanwar, Deepak Garg, et al.. (2023). Traffic Sign Classification for Autonomous Vehicles Using Split and Federated Learning Underlying 5G. IEEE Open Journal of Vehicular Technology. 4. 877–892. 9 indexed citations
15.
Gupta, Rajesh, et al.. (2023). Proxy-based Verification of Smart Contracts for Healthcare Domain in Blockchain Environment. 770–775. 1 indexed citations
16.
Kakkar, Riya, Nilesh Kumar Jadav, Rajesh Gupta, et al.. (2022). A Taxonomy on Smart Healthcare Technologies: Security Framework, Case Study, and Future Directions. Journal of Sensors. 2022. 1–30. 25 indexed citations
17.
Jadav, Nilesh Kumar, et al.. (2022). Deep Learning and Onion Routing-Based Collaborative Intelligence Framework for Smart Homes Underlying 6G Networks. IEEE Transactions on Network and Service Management. 19(3). 3401–3412. 20 indexed citations
18.
Jadav, Nilesh Kumar, Mohammad Dahman Alshehri, Sudeep Tanwar, et al.. (2022). Blockchain for Future Wireless Networks: A Decade Survey. Sensors. 22(11). 4182–4182. 21 indexed citations
19.
Gupta, Rajesh, et al.. (2022). Deep Learning and Blockchain-based Framework to Detect Malware in Autonomous Vehicles. 2022 International Wireless Communications and Mobile Computing (IWCMC). 278–283. 6 indexed citations
20.
Jadav, Nilesh Kumar, et al.. (2021). A Machine Learning Approach to Classify Network Traffic. 1–6. 8 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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