S. Nandakumar

439 total citations
44 papers, 275 citations indexed

About

S. Nandakumar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, S. Nandakumar has authored 44 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 33 papers in Electrical and Electronic Engineering and 5 papers in Information Systems. Recurrent topics in S. Nandakumar's work include Advanced MIMO Systems Optimization (21 papers), Wireless Communication Networks Research (13 papers) and Cognitive Radio Networks and Spectrum Sensing (11 papers). S. Nandakumar is often cited by papers focused on Advanced MIMO Systems Optimization (21 papers), Wireless Communication Networks Research (13 papers) and Cognitive Radio Networks and Spectrum Sensing (11 papers). S. Nandakumar collaborates with scholars based in India, Saudi Arabia and Australia. S. Nandakumar's co-authors include Saravanan Kothandaraman, Amir H. Gandomi, P. Prakasam, Сибарам Хара, Mohammad Mehedi Hassan, Md. Motaharul Islam, B. Saravanan, Marimuthu Karuppiah, Abdulhameed Alelaiwi and Ali I. Maswood and has published in prestigious journals such as Scientific Reports, IEEE Access and Neural Computing and Applications.

In The Last Decade

S. Nandakumar

36 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Nandakumar India 9 178 148 31 25 23 44 275
Seowoo Jang South Korea 7 135 0.8× 118 0.8× 16 0.5× 34 1.4× 28 1.2× 24 264
Anas Al-Roubaiey Saudi Arabia 9 150 0.8× 312 2.1× 26 0.8× 35 1.4× 30 1.3× 27 418
Haitham Mahmoud United Kingdom 10 197 1.1× 155 1.0× 49 1.6× 10 0.4× 4 0.2× 38 344
Zengwei Lyu China 11 274 1.5× 202 1.4× 45 1.5× 4 0.2× 22 1.0× 31 403
Charalambos Sergiou Cyprus 13 243 1.4× 514 3.5× 28 0.9× 4 0.2× 21 0.9× 30 574
Hardik Shah United States 9 79 0.4× 172 1.2× 11 0.4× 7 0.3× 25 1.1× 19 276
Ruan D. Gomes Brazil 9 192 1.1× 256 1.7× 21 0.7× 8 0.3× 10 0.4× 35 333
Chao Sha China 12 262 1.5× 259 1.8× 29 0.9× 6 0.2× 13 0.6× 35 398
Adrien van den Bossche France 12 150 0.8× 161 1.1× 50 1.6× 4 0.2× 11 0.5× 41 289
Mark Kelly Ireland 9 304 1.7× 269 1.8× 24 0.8× 4 0.2× 7 0.3× 11 404

Countries citing papers authored by S. Nandakumar

Since Specialization
Citations

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

Fields of papers citing papers by S. Nandakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Nandakumar

This figure shows the co-authorship network connecting the top 25 collaborators of S. Nandakumar. A scholar is included among the top collaborators of S. Nandakumar 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 S. Nandakumar. S. Nandakumar 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
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Nandakumar, S., et al.. (2025). A multi-objective function derived for traffic capacity enhancement using hybrid optimization of energy-aware routing in ad hoc wireless network. Sustainable Computing Informatics and Systems. 47. 101165–101165.
4.
Nandakumar, S., et al.. (2024). Blockchain-enabled cooperative spectrum sensing in 5G and B5G cognitive radio via massive multiple-input multiple-output nonorthogonal multiple access. Results in Engineering. 24. 102840–102840. 11 indexed citations
5.
Nandakumar, S., et al.. (2024). Distributed resource optimisation using the Q-learning algorithm, in device-to-device communication: A reinforcement learning paradigm. Results in Engineering. 23. 102462–102462. 10 indexed citations
6.
Balusamy, Balamurugan, et al.. (2024). Intelligent Security System for Preventing DDoS Attacks for 6G Enabled WBSN Using Improve Grey Wolf Optimization. IEEE Transactions on Consumer Electronics. 70(3). 5775–5782. 4 indexed citations
7.
Nandakumar, S., et al.. (2024). An IoT-driven COVID and Smart Health Check Monitoring System. The Open Biomedical Engineering Journal. 18(1).
8.
Nandakumar, S., et al.. (2023). Enhance the Probability of Detection of Cooperative Spectrum Sensing in Cognitive Radio Networks Using Blockchain Technology. Journal of Electrical and Computer Engineering. 2023. 1–13. 5 indexed citations
9.
Nandakumar, S., et al.. (2023). Reinforcement learning based distributed resource allocation technique in device-to-device (D2D) communication. Wireless Networks. 29(4). 1843–1858. 11 indexed citations
10.
Nandakumar, S., et al.. (2023). Cognitive Radio Spectrum Sensing-Based QAM Technique Using Blockchain. International Journal of Distributed Sensor Networks. 2023. 1–16. 3 indexed citations
11.
Nandakumar, S., et al.. (2023). Distinctive analysis of power and frequency allocation for Device to Device (D2D) communication. Computers & Electrical Engineering. 106. 108572–108572. 7 indexed citations
12.
Nandakumar, S., et al.. (2022). Enhanced Resource Blocks Management in D2D based Communication for 5G Networks. Wireless Personal Communications. 126(1). 367–383. 2 indexed citations
13.
Nandakumar, S., et al.. (2022). Resource Allocation Strategy for D2D assisted Edge Computing System Using Optimization Algorithms. Wireless Personal Communications. 128(1). 587–603. 3 indexed citations
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Nandakumar, S., et al.. (2022). Resource allocation and optimization in D2D communication with PDRAPC framework. Peer-to-Peer Networking and Applications. 15(3). 1617–1637. 1 indexed citations
15.
Nandakumar, S., et al.. (2019). Dual Processor Based Centralized Device for Spectrum Handoff in Cognitive Radio Networks. Journal of Electrical Engineering and Technology. 15(2). 833–842. 3 indexed citations
16.
Singh, Anupama, et al.. (2018). Improved Adaptive Cooperative Spectrum Sensing in Cognitive Radio Networks. 1–5. 7 indexed citations
17.
Nandakumar, S., et al.. (2018). Enhanced Model for Spectrum Handoff in Cognitive Radio Networks. 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA). 944–950. 3 indexed citations
18.
Хара, Сибарам, et al.. (2017). Seamless vertical handoff using modified weed optimization algorithm for heterogeneous wireless networks. Radioelectronics and Communications Systems. 60(10). 431–448. 8 indexed citations
19.
Nandakumar, S. & Сибарам Хара. (2015). Modeling and Performance Analysis of an Improved Data Channel Assignment (DCA) Scheme for 3G/WLAN Mixed Cells. International Journal of Wireless Information Networks. 22(1). 10–28. 1 indexed citations
20.
Nandakumar, S., et al.. (2009). Frequency Domain Equalization for Single Carrier Wireless Systems. 1(4). 1–183. 3 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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