A. Sampathkumar

753 total citations
19 papers, 294 citations indexed

About

A. Sampathkumar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, A. Sampathkumar has authored 19 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in A. Sampathkumar's work include Energy Efficient Wireless Sensor Networks (4 papers), Optical Network Technologies (4 papers) and Energy Harvesting in Wireless Networks (3 papers). A. Sampathkumar is often cited by papers focused on Energy Efficient Wireless Sensor Networks (4 papers), Optical Network Technologies (4 papers) and Energy Harvesting in Wireless Networks (3 papers). A. Sampathkumar collaborates with scholars based in India, Malaysia and Vietnam. A. Sampathkumar's co-authors include M. Sivaram, I. S. Amiri, Nebojša Bačanin, S. B. Goyal, Kaharudin Dimyati, Valmik Tilwari, P. Vivekanandan, Ravi Rastogi, Ahmed Nabih Zaki Rashed and Vishal Jain and has published in prestigious journals such as Wireless Networks, Computers & Electrical Engineering and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

A. Sampathkumar

19 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Sampathkumar India 12 132 119 55 54 20 19 294
K. Anitha Kumari India 8 78 0.6× 49 0.4× 70 1.3× 101 1.9× 13 0.7× 51 237
Tzay-Farn Shih Taiwan 9 167 1.3× 110 0.9× 50 0.9× 135 2.5× 17 0.8× 19 310
Chenghui Peng China 8 129 1.0× 102 0.9× 153 2.8× 23 0.4× 11 0.6× 37 318
Sherif Moussa United Arab Emirates 7 99 0.8× 39 0.3× 43 0.8× 50 0.9× 9 0.5× 30 200
Mohammad Javad Rashti Canada 11 148 1.1× 32 0.3× 108 2.0× 57 1.1× 41 2.0× 21 330
Biling Zhang China 11 228 1.7× 290 2.4× 34 0.6× 31 0.6× 16 0.8× 57 417
J Shreyas India 11 187 1.4× 85 0.7× 53 1.0× 52 1.0× 22 1.1× 62 313
Desta Haileselassie Hagos Norway 9 147 1.1× 70 0.6× 165 3.0× 38 0.7× 9 0.5× 26 341
Mohammad Mahfuzul Islam Bangladesh 11 196 1.5× 103 0.9× 83 1.5× 61 1.1× 11 0.6× 29 387
Mouna Baklouti Tunisia 10 114 0.9× 63 0.5× 44 0.8× 80 1.5× 30 1.5× 37 259

Countries citing papers authored by A. Sampathkumar

Since Specialization
Citations

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

Fields of papers citing papers by A. Sampathkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Sampathkumar

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

All Works

19 of 19 papers shown
1.
Joshi, Shubham, et al.. (2023). A novel artificial intelligence approach to detect the breast cancer using KNNet technique with EPM gene profiling. Functional & Integrative Genomics. 23(4). 302–302. 2 indexed citations
2.
Sampathkumar, A., Shishir Kumar Shandilya, & Nebojša Bačanin. (2022). Federated Learning-Based Privacy Preservation with Blockchain Assistance in IoT 5G Heterogeneous Networks. Journal of Web Engineering. 12 indexed citations
3.
Khan, Mudassir, et al.. (2022). A deep learning approach for facial emotions recognition using principal component analysis and neural network techniques. The Photogrammetric Record. 37(180). 435–452. 13 indexed citations
4.
Singh, Laxman, et al.. (2022). Secure blockchain enabled Cyber- Physical health systems using ensemble convolution neural network classification. Computers & Electrical Engineering. 101. 108058–108058. 28 indexed citations
5.
Sampathkumar, A., Shishir Kumar Shandilya, S. B. Goyal, et al.. (2022). Internet of Medical Things (IoMT) and Reflective Belief Design-Based Big Data Analytics with Convolution Neural Network-Metaheuristic Optimization Procedure (CNN-MOP). Computational Intelligence and Neuroscience. 2022. 1–14. 15 indexed citations
6.
Goyal, S. B., et al.. (2022). Blockchain‐Based IoT‐Enabled System for Secure and Efficient Logistics Management in the Era of IR 4.0. Journal of Nanomaterials. 2022(1). 16 indexed citations
7.
Goyal, S. B., et al.. (2022). A Regulated Anticounterfeiting Traceability Metamodel Based on Blockchain in Supply Chain in the Era of IR 4.0. Journal of Nanomaterials. 2022(1). 3 indexed citations
8.
Maheswar, R., P. Jayarajan, A. Sampathkumar, et al.. (2021). CBPR: A Cluster-Based Backpressure Routing for the Internet of Things. Wireless Personal Communications. 118(4). 3167–3185. 14 indexed citations
9.
Sampathkumar, A., et al.. (2020). A Review on Thermal and QoS Aware Routing Protocols for Health Care Applications in WBASN. 1472–1477. 5 indexed citations
10.
Sampathkumar, A., et al.. (2020). Glowworm swarm optimization for effectual load balancing and routing strategies in wireless sensor networks. Wireless Networks. 26(6). 4227–4238. 38 indexed citations
11.
Sampathkumar, A., et al.. (2020). An efficient hybrid methodology for detection of cancer-causing gene using CSC for micro array data. Journal of Ambient Intelligence and Humanized Computing. 11(11). 4743–4751. 31 indexed citations
12.
13.
Porkodi, V., A. Sampathkumar, Kaharudin Dimyati, et al.. (2020). An optimal network coding based backpressure routing approach for massive IoT network. Wireless Networks. 26(5). 3657–3674. 40 indexed citations
14.
Manikandan, V., et al.. (2020). DRCNN-IDS Approach for Intelligent Intrusion Detection System. 1–4. 4 indexed citations
15.
Amiri, I. S., et al.. (2019). Modified duobinary modulation of optical signals generated by silicon‐based microring resonator. Microwave and Optical Technology Letters. 61(6). 1661–1668. 3 indexed citations
16.
Pandian, A., et al.. (2019). Numerical analysis of circularly polarized modes in coreless photonic crystal fiber. Results in Physics. 13. 102140–102140. 20 indexed citations
17.
Sivaranjani, S., A. Sampathkumar, Ahmed Nabih Zaki Rashed, T. Sundararajan, & I. S. Amiri. (2019). Performance Evaluation of Bidirectional Wavelength Division Multiple Access Broadband Optical Passive Elastic Networks Operation Efficiency. Journal of Optical Communications. 45(1). 87–93. 14 indexed citations
18.
Jabin, Md. Asaduzzaman, et al.. (2019). Numerical investigation of temperature dependent water infiltrated D-shaped dual core photonic crystal fiber (D-DC-PCF) for sensing applications. Results in Physics. 13. 102289–102289. 11 indexed citations
19.
Sampathkumar, A. & P. Vivekanandan. (2019). Gene Selection Using Parallel Lion Optimization Method in Microarray Data for Cancer Classification. Journal of Medical Imaging and Health Informatics. 9(6). 1294–1300. 11 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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