G. Maragatham

1.2k total citations · 1 hit paper
39 papers, 614 citations indexed

About

G. Maragatham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, G. Maragatham has authored 39 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in G. Maragatham's work include Adversarial Robustness in Machine Learning (5 papers), Blockchain Technology Applications and Security (5 papers) and Network Security and Intrusion Detection (4 papers). G. Maragatham is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Blockchain Technology Applications and Security (5 papers) and Network Security and Intrusion Detection (4 papers). G. Maragatham collaborates with scholars based in India, United States and Serbia. G. Maragatham's co-authors include A. Helen Victoria, K. Meenakshi, M. Lakshmi, Neha Agarwal, Vijayakumar Ponnusamy, Sachin Garg, S. Mohamed Mansoor Roomi, Ashok Kumar and K. Maheswari and has published in prestigious journals such as IEEE Access, Pattern Recognition Letters and Wireless Networks.

In The Last Decade

G. Maragatham

36 papers receiving 590 citations

Hit Papers

Automatic tuning of hyperparameters using Bayesian optimi... 2020 2026 2022 2024 2020 100 200 300
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.

  1. Automatic tuning of hyperparameters using Bayesian optimization
    2020 378 citations A. Helen Victoria, G. Maragatham Evolving Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Maragatham India 9 166 107 77 60 52 39 614
Youssef Ghanou Morocco 9 278 1.7× 81 0.8× 62 0.8× 60 1.0× 47 0.9× 21 649
Susmita Ray India 5 178 1.1× 63 0.6× 68 0.9× 39 0.7× 69 1.3× 7 625
Bhushankumar Nemade India 10 195 1.2× 163 1.5× 58 0.8× 67 1.1× 55 1.1× 27 808
Zyad Shaaban Saudi Arabia 7 191 1.2× 135 1.3× 62 0.8× 46 0.8× 67 1.3× 11 685
Kun Zhao China 12 196 1.2× 153 1.4× 59 0.8× 32 0.5× 39 0.8× 47 711
Hassan Ramchoun Morocco 5 208 1.3× 65 0.6× 54 0.7× 31 0.5× 42 0.8× 14 548
Alankrita Aggarwal India 6 171 1.0× 167 1.6× 42 0.5× 49 0.8× 56 1.1× 31 547
Farzana Anowar Canada 9 180 1.1× 91 0.9× 67 0.9× 48 0.8× 45 0.9× 14 670
Luai Al-Shalabi Kuwait 5 194 1.2× 82 0.8× 42 0.5× 42 0.7× 52 1.0× 13 622

Countries citing papers authored by G. Maragatham

Since Specialization
Citations

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

Fields of papers citing papers by G. Maragatham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Maragatham

This figure shows the co-authorship network connecting the top 25 collaborators of G. Maragatham. A scholar is included among the top collaborators of G. Maragatham 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 G. Maragatham. G. Maragatham 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.
Maragatham, G., et al.. (2024). An Integrated Federated Machine Learning and Blockchain Framework With Optimal Miner Selection for Reliable DDOS Attack Detection. IEEE Access. 12. 127903–127915. 6 indexed citations
2.
Meenakshi, K. & G. Maragatham. (2022). An Optimised Defensive Technique to Recognize Adversarial Iris Images Using Curvelet Transform. Intelligent Automation & Soft Computing. 35(1). 627–643. 16 indexed citations
3.
Maragatham, G., et al.. (2022). A Decentralized Blockchain based system for Secure Health Record and Claims processing. 2022 International Conference on Computer Communication and Informatics (ICCCI). 1–8. 3 indexed citations
4.
5.
Meenakshi, K. & G. Maragatham. (2021). A Self Supervised Defending Mechanism Against Adversarial Iris Attacks based on Wavelet Transform. International Journal of Advanced Computer Science and Applications. 12(2). 6 indexed citations
6.
Maragatham, G., et al.. (2021). Integrated Deep Auto-Encoder and Q-Learning-Based Scheme to Detect Anomalies and Supporting Forensics in Cloud Computing Environments. Wireless Personal Communications. 127(3). 2247–2265. 4 indexed citations
7.
Victoria, A. Helen & G. Maragatham. (2021). Activity recognition of FMCW radar human signatures using tower convolutional neural networks. Wireless Networks. 15 indexed citations
8.
Maragatham, G., et al.. (2021). An Overview of the various Smart Contract Platforms in Blockchain. 1 indexed citations
9.
Maragatham, G., et al.. (2021). Movie Rating System based on Blockchain. 1–3. 8 indexed citations
10.
Victoria, A. Helen & G. Maragatham. (2020). Automatic tuning of hyperparameters using Bayesian optimization. Evolving Systems. 12(1). 217–223. 378 indexed citations breakdown →
11.
12.
Maragatham, G., et al.. (2020). Improving the classifier accuracy with an integrated approach using medical data – a study. International Journal of Medical Engineering and Informatics. 12(4). 313–313.
13.
Meenakshi, K. & G. Maragatham. (2019). Computational Intelligence in Diagnosis and Prognosis of Gestational Diabetes using Deep Learning. Research Journal of Pharmacy and Technology. 12(8). 3891–3891. 8 indexed citations
14.
Roomi, S. Mohamed Mansoor, et al.. (2017). Content based video retrieval via object based approach. 9. 781–787. 3 indexed citations
15.
Maragatham, G., et al.. (2017). Data mining techniques for IoT and big data — A survey. 607–610. 8 indexed citations
16.
Roomi, S. Mohamed Mansoor, et al.. (2017). Video Summarization using Hierarchical Shot Boundary Detection Approach. 89. 1–5. 1 indexed citations
17.
Maragatham, G., et al.. (2016). A Study of IoT in SCM and its nodes in Multimodal Business Process. Indian Journal of Science and Technology. 9(21). 10 indexed citations
18.
Maragatham, G., et al.. (2015). A Review of Image Contrast Enhancement Methods and Techniques. Research Journal of Applied Sciences Engineering and Technology. 9(5). 309–326. 30 indexed citations
19.
Maragatham, G., et al.. (2015). Noise Detection in Images using Moments. Research Journal of Applied Sciences Engineering and Technology. 10(3). 307–314. 4 indexed citations
20.
Maragatham, G. & M. Lakshmi. (2010). A strategy for mining utility based temporal association rules. 15. 38–41. 5 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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