Sivaraman Eswaran

428 total citations
41 papers, 209 citations indexed

About

Sivaraman Eswaran is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sivaraman Eswaran has authored 41 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sivaraman Eswaran's work include Advanced Malware Detection Techniques (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Chaos-based Image/Signal Encryption (5 papers). Sivaraman Eswaran is often cited by papers focused on Advanced Malware Detection Techniques (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Chaos-based Image/Signal Encryption (5 papers). Sivaraman Eswaran collaborates with scholars based in India, Malaysia and Australia. Sivaraman Eswaran's co-authors include Prasad B. Honnavalli, D. Daniel, Rajasekaran Thangaraj, N. Jayapandian, Gokul Chandrasekaran, Hari Om, W. K. Wong, Filbert H. Juwono, Huo-Chong Ling and P. Pandiyan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Electronics Letters.

In The Last Decade

Sivaraman Eswaran

37 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sivaraman Eswaran India 8 73 69 53 40 20 41 209
D. Akila India 9 56 0.8× 68 1.0× 78 1.5× 33 0.8× 16 0.8× 45 212
Chellammal Surianarayanan India 9 58 0.8× 76 1.1× 75 1.4× 21 0.5× 29 1.4× 25 224
Momina Shaheen Pakistan 7 138 1.9× 65 0.9× 51 1.0× 17 0.4× 16 0.8× 30 234
Abdulaziz M. Alayba Saudi Arabia 10 93 1.3× 53 0.8× 34 0.6× 50 1.3× 32 1.6× 20 215
Dilip Kumar Jang Bahadur Saini India 8 41 0.6× 77 1.1× 97 1.8× 26 0.7× 22 1.1× 39 210
D. Ravindran India 7 62 0.8× 125 1.8× 91 1.7× 19 0.5× 25 1.3× 14 282
M. Venu Gopalachari India 8 78 1.1× 71 1.0× 29 0.5× 32 0.8× 45 2.3× 22 194
Prasad B. Honnavalli India 9 98 1.3× 91 1.3× 80 1.5× 45 1.1× 28 1.4× 59 272
P. Pandiaraja India 8 81 1.1× 44 0.6× 64 1.2× 14 0.3× 40 2.0× 28 196
Abhinav Juneja India 10 61 0.8× 29 0.4× 35 0.7× 19 0.5× 35 1.8× 23 225

Countries citing papers authored by Sivaraman Eswaran

Since Specialization
Citations

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

Fields of papers citing papers by Sivaraman Eswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sivaraman Eswaran

This figure shows the co-authorship network connecting the top 25 collaborators of Sivaraman Eswaran. A scholar is included among the top collaborators of Sivaraman Eswaran 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 Sivaraman Eswaran. Sivaraman Eswaran 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.
Eswaran, Sivaraman, et al.. (2024). A Comprehensive Review of Security and Privacy Issues in Large Language Models. SSRN Electronic Journal. 1 indexed citations
2.
Ling, Huo-Chong, et al.. (2024). Network-aware virtual machine placement using enriched butterfly optimisation algorithm in cloud computing paradigm. Cluster Computing. 27(6). 8557–8575. 4 indexed citations
3.
Eswaran, Sivaraman, et al.. (2024). A Survey to Lightweight Cryptography World. 404–409. 2 indexed citations
4.
5.
Nugroho, Hermawan, et al.. (2024). Effective Edge Solution for Early Detection of Rice Disease on ARM- M Microcontroller. IEEE Access. 12. 148267–148280. 1 indexed citations
6.
Nugroho, Hermawan, et al.. (2024). Resource-optimized cnns for real-time rice disease detection with ARM cortex-M microprocessors. Plant Methods. 20(1). 159–159. 4 indexed citations
7.
Eswaran, Sivaraman, et al.. (2024). Automated and Interpretable Fake News Detection With Explainable Artificial Intelligence. Journal of Applied Security Research. 19(4). 628–648.
8.
Thangaraj, Rajasekaran, et al.. (2023). A deep convolution neural network for automated COVID-19 disease detection using chest X-ray images. SHILAP Revista de lepidopterología. 4. 100278–100278. 6 indexed citations
9.
Honnavalli, Prasad B., et al.. (2023). PriMed: Private federated training and encrypted inference on medical images in healthcare. Expert Systems. 42(1). 1 indexed citations
10.
Thangaraj, Rajasekaran, et al.. (2023). Automatic multiclass classification of laryngeal cancer using deep convolution neural networks. Electronics Letters. 60(1). 4 indexed citations
11.
Eswaran, Sivaraman, et al.. (2023). Deep learning unleashed: computer vision-powered smart attendance tracking. IET conference proceedings.. 2023(22). 49–55.
12.
Honnavalli, Prasad B., et al.. (2022). Defending against adversarial attacks on Covid-19 classifier: A denoiser-based approach. Heliyon. 8(10). e11209–e11209. 12 indexed citations
13.
Eswaran, Sivaraman & Prasad B. Honnavalli. (2022). Private 5G networks: a survey on enabling technologies, deployment models, use cases and research directions. Telecommunication Systems. 82(1). 3–26. 27 indexed citations
14.
Honnavalli, Prasad B., et al.. (2022). Defending Against Adversarial Attacks on Covid- 19 Classifier: A Denoiser-Based Approach. SSRN Electronic Journal. 2 indexed citations
15.
Honnavalli, Prasad B., et al.. (2022). An improved filter against injection attacks using regex and machine learning. Network Security. 2022(9). 1 indexed citations
16.
Eswaran, Sivaraman, et al.. (2022). An Enhanced Context-based Emotion Detection Model using RoBERTa. 1–6. 20 indexed citations
17.
Honnavalli, Prasad B., et al.. (2022). Cyber Attack Detection On Self-Driving Cars Using Machine Learning Techniques. 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT). 1–5. 7 indexed citations
18.
Daniel, D., et al.. (2021). Collaborative Intrusion Detection System in Cognitive Smart City Network (CSC-Net). International Journal of Knowledge and Systems Science. 12(1). 60–73. 15 indexed citations
19.
Eswaran, Sivaraman, et al.. (2020). Augmented intelligent water drops optimisation model for virtual machine placement in cloud environment. IET Networks. 9(5). 215–222. 7 indexed citations
20.
Eswaran, Sivaraman, et al.. (2017). Multiservice Load Balancing with Hybrid Particle Swarm Optimization in Cloud-Based Multimedia Storage System with QoS Provision. Mobile Networks and Applications. 22(4). 760–770. 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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