Senthil Kumar Jagatheesaperumal

1.9k total citations · 3 hit papers
68 papers, 889 citations indexed

About

Senthil Kumar Jagatheesaperumal is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Senthil Kumar Jagatheesaperumal has authored 68 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 17 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Senthil Kumar Jagatheesaperumal's work include IoT and Edge/Fog Computing (13 papers), Blockchain Technology Applications and Security (7 papers) and Network Security and Intrusion Detection (5 papers). Senthil Kumar Jagatheesaperumal is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Blockchain Technology Applications and Security (7 papers) and Network Security and Intrusion Detection (5 papers). Senthil Kumar Jagatheesaperumal collaborates with scholars based in United States, Brazil and India. Senthil Kumar Jagatheesaperumal's co-authors include Mohamed Rahouti, Simon Elias Bibri, Kashif Ahmad, Ala Al‐Fuqaha, Mohsen Guizani, Jeffrey Huang, Victor Hugo C. de Albuquerque, John Krogstie, Zhaoyang Zhang and Zhaohui Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Communications Surveys & Tutorials.

In The Last Decade

Senthil Kumar Jagatheesaperumal

54 papers receiving 832 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.

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions

2021 150 citations Senthil Kumar Jagatheesaperumal, Mohamed Rahouti et al. profile →
The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review

2024 76 citations Simon Elias Bibri, Jeffrey Huang et al. profile →
Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues

2024 49 citations Senthil Kumar Jagatheesaperumal et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Senthil Kumar Jagatheesaperumal United States	15	213	191	152	131	93	68	889
Dongliang Chen China	9	193 0.9×	174 0.9×	164 1.1×	71 0.5×	67 0.7×	15	646
Domenico Santaniello Italy	15	208 1.0×	215 1.1×	182 1.2×	50 0.4×	163 1.8×	66	759
Hangbae Chang South Korea	13	287 1.3×	103 0.5×	324 2.1×	60 0.5×	107 1.2×	93	806
Iveta Zolotová Slovakia	17	296 1.4×	150 0.8×	137 0.9×	221 1.7×	110 1.2×	83	944
B. Cristina Pelayo G‐Bustelo Spain	15	214 1.0×	146 0.8×	254 1.7×	40 0.3×	140 1.5×	37	716
Sarah Qahtan Iraq	22	174 0.8×	237 1.2×	197 1.3×	69 0.5×	78 0.8×	51	1.1k
Saadaldeen Rashid Ahmed Iraq	22	345 1.6×	234 1.2×	252 1.7×	36 0.3×	189 2.0×	78	1.0k
Sandeep Kumar India	23	224 1.1×	341 1.8×	210 1.4×	80 0.6×	444 4.8×	118	1.5k
Dragan Peraković Croatia	16	499 2.3×	326 1.7×	204 1.3×	86 0.7×	79 0.8×	112	1.1k
Srinivas Koppu India	11	301 1.4×	286 1.5×	159 1.0×	65 0.5×	95 1.0×	22	760

Countries citing papers authored by Senthil Kumar Jagatheesaperumal

Since Specialization

Citations

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

Fields of papers citing papers by Senthil Kumar Jagatheesaperumal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senthil Kumar Jagatheesaperumal

This figure shows the co-authorship network connecting the top 25 collaborators of Senthil Kumar Jagatheesaperumal. A scholar is included among the top collaborators of Senthil Kumar Jagatheesaperumal 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 Senthil Kumar Jagatheesaperumal. Senthil Kumar Jagatheesaperumal 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

Jagatheesaperumal, Senthil Kumar, et al.. (2025). Accelerated task learning using Q-learning with reduced state space and reward with bootstrapping effect. Information Technology And Control. 54(1). 254–267.

Jagatheesaperumal, Senthil Kumar, Kelton Augusto Pontara da Costa, K. Acharya, et al.. (2025). Quantum AI-Enhanced IoT–Fog Communication: A Survey From Cybersecurity and Data Privacy Perspective. IEEE Communications Surveys & Tutorials. 28. 3637–3665.

Jagatheesaperumal, Senthil Kumar, et al.. (2025). Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities. Computers in Biology and Medicine. 195. 110461–110461. 6 indexed citations

Jagatheesaperumal, Senthil Kumar, et al.. (2024). Advancements in non-invasive microwave brain stimulation: A comprehensive survey. Physics of Life Reviews. 48. 132–161. 3 indexed citations

Jagatheesaperumal, Senthil Kumar, et al.. (2024). Few-shot image classification using graph neural network with fine-grained feature descriptors. Neurocomputing. 610. 128448–128448. 10 indexed citations

Jagatheesaperumal, Senthil Kumar, Senthil Kumar Jagatheesaperumal, Ijaz Ahmad, et al.. (2024). Deep learning frameworks for cognitive radio networks: Review and open research challenges. Journal of Network and Computer Applications. 233. 104051–104051. 4 indexed citations

Jagatheesaperumal, Senthil Kumar, Mohammad Mehedi Hassan, Md. Rafiul Hassan, & Giancarlo Fortino. (2024). The Duo of Visual Servoing and Deep Learning-Based Methods for Situation-Aware Disaster Management: A Comprehensive Review. Cognitive Computation. 16(5). 2756–2778. 3 indexed citations

Jagatheesaperumal, Senthil Kumar, et al.. (2024). Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness. IEEE Internet of Things Magazine. 7(5). 38–44. 8 indexed citations

Damaševičius, Robertas, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, et al.. (2024). Deep learning for personalized health monitoring and prediction: A review. Computational Intelligence. 40(3). 11 indexed citations

10.

Jagatheesaperumal, Senthil Kumar, et al.. (2024). Artificial intelligence of things for smart cities: advanced solutions for enhancing transportation safety. SHILAP Revista de lepidopterología. 4(1). 30 indexed citations

11.

Jagatheesaperumal, Senthil Kumar, et al.. (2024). Novel Cognitive Assisted Adaptive Frame Selection for Continuous Sign Language Recognition in Videos Using ConvLSTM. International Journal of Advanced Computer Science and Applications. 15(7).

12.

Jagatheesaperumal, Senthil Kumar, Zhaohui Yang, Md. Rafiul Hassan, Mohammad Mehedi Hassan, & Giancarlo Fortino. (2024). Rate splitting with semantics as a generalized multi-access framework for intelligent reflecting surfaces. Scientific Reports. 14(1). 9584–9584. 2 indexed citations

13.

Roshanzamir, Mohamad, Senthil Kumar Jagatheesaperumal, Mohammad Reza Chalak Qazani, et al.. (2024). Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval. IEEE Access. 12. 162432–162449.

14.

Ahmad, Ijaz, Tanesh Kumar, Jani Suomalainen, et al.. (2024). Communications Security in Industry X: A Survey. IEEE Open Journal of the Communications Society. 5. 982–1025. 15 indexed citations

15.

Jagatheesaperumal, Senthil Kumar, et al.. (2024). QCASBC: An algorithm for hardware-in-the-loop simulation of 3-link RRR robotic manipulator. Alexandria Engineering Journal. 103. 12–20.

16.

Almeida, Jefferson S., Senthil Kumar Jagatheesaperumal, Fabrício G. Nogueira, & Victor Hugo C. de Albuquerque. (2023). EdgeFireSmoke++: A novel lightweight algorithm for real-time forest fire detection and visualization using internet of things-human machine interface. Expert Systems with Applications. 221. 119747–119747. 27 indexed citations

17.

Jagatheesaperumal, Senthil Kumar, et al.. (2023). Artificial Intelligence for road quality assessment in smart cities: a machine learning approach to acoustic data analysis. SHILAP Revista de lepidopterología. 3(1). 17 indexed citations

18.

Jagatheesaperumal, Senthil Kumar, Khan Muhammad, Abdul Khader Jilani Saudagar, & Joel J. P. C. Rodrigues. (2023). Automated Fire Extinguishing System Using a Deep Learning Based Framework. Mathematics. 11(3). 608–608. 8 indexed citations

19.

Bibri, Simon Elias & Senthil Kumar Jagatheesaperumal. (2023). Harnessing the Potential of the Metaverse and Artificial Intelligence for the Internet of City Things: Cost-Effective XReality and Synergistic AIoT Technologies. Smart Cities. 6(5). 2397–2429. 45 indexed citations

20.

Rahouti, Mohamed, et al.. (2022). SDN Security Review: Threat Taxonomy, Implications, and Open Challenges. IEEE Access. 10. 45820–45854. 64 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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