P. Amudha

609 total citations
18 papers, 197 citations indexed

About

P. Amudha is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, P. Amudha has authored 18 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 6 papers in Signal Processing. Recurrent topics in P. Amudha's work include Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Luminescence and Fluorescent Materials (4 papers). P. Amudha is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Luminescence and Fluorescent Materials (4 papers). P. Amudha collaborates with scholars based in India and Taiwan. P. Amudha's co-authors include S. Sivakumari, S. Karthik, S.C. Sharma, R.B. Basavaraj, B. Daruka Prasad, G.P. Darshan, Huzaifa Rauf, H. Nagabhushana, M.S. Rudresha and H. Nagabhushana and has published in prestigious journals such as Sensors and Actuators B Chemical, Journal of Alloys and Compounds and Journal of Molecular Structure.

In The Last Decade

P. Amudha

15 papers receiving 184 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Amudha India 7 99 56 54 52 52 18 197
William Ferreira Giozza Brazil 10 167 1.7× 40 0.7× 20 0.4× 13 0.3× 2 0.0× 55 336
Yuxuan Chen China 7 37 0.4× 25 0.4× 26 0.5× 62 1.2× 1 0.0× 16 161
Pooja Singh India 8 39 0.4× 30 0.5× 14 0.3× 45 0.9× 43 220
Minsoo Kim South Korea 6 40 0.4× 57 1.0× 36 0.7× 35 0.7× 1 0.0× 27 152
Jingyi Xu China 6 22 0.2× 28 0.5× 54 1.0× 27 0.5× 16 234
Guido Schmitz Germany 7 36 0.4× 92 1.6× 52 1.0× 112 2.2× 11 264
Alexander Semenov Russia 8 34 0.3× 27 0.5× 9 0.2× 60 1.2× 50 157
Giorgos Borboudakis Greece 8 109 1.1× 7 0.1× 16 0.3× 91 1.8× 14 323
Hongbin Ye China 9 59 0.6× 7 0.1× 8 0.1× 240 4.6× 5 0.1× 15 379

Countries citing papers authored by P. Amudha

Since Specialization
Citations

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

Fields of papers citing papers by P. Amudha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Amudha

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

All Works

18 of 18 papers shown
1.
Krushna, B.R. Radha, S.C. Sharma, C. Krithika, et al.. (2025). Enhancing the luminosity in Y4Al2O9: Sm3+ nanophosphors, dactyloscopy and combating counterfeiting by incorporating fluorescent carbon dots as an optical amplifier. Journal of Molecular Structure. 1345. 141652–141652. 2 indexed citations
2.
Mathew, Amitha & P. Amudha. (2024). Improved Finger Vein Recognition Using Generative Adversarial Network and Transfer Learning. Journal of Nanoelectronics and Optoelectronics. 19(10). 1042–1052. 2 indexed citations
3.
Mathew, Amitha & P. Amudha. (2024). Enhancing Finger Vein Authentication through Deep Learning: A Comparative Study of U-Net and Sequential Models. Journal of Advanced Research in Applied Sciences and Engineering Technology. 47(1). 230–243. 1 indexed citations
4.
Krushna, B.R. Radha, S.C. Sharma, J. Malleshappa, et al.. (2024). Carbon dots encapsulated in (YGd)2O3:Eu3+ nanophosphors for thermal sensing, advanced forensic and information security applications. Materials Today Sustainability. 26. 100766–100766. 21 indexed citations
5.
Amudha, P., et al.. (2023). Parkinson\'s Disease Detection Using Deep Learning Technique. International Journal for Research in Applied Science and Engineering Technology. 11(5). 1789–1796. 1 indexed citations
7.
Amudha, P., et al.. (2023). Waste Management System using IoT. International Journal for Research in Applied Science and Engineering Technology. 11(5). 1427–1430.
8.
Amudha, P., et al.. (2022). Comparative Analysis of Air Quality Prediction Using Artificial Intelligence Techniques. ECS Transactions. 107(1). 6059–6066. 1 indexed citations
9.
Amudha, P., et al.. (2021). Automatic Detection of Anomalies in Video Surveillance using Artificial Intelligence. IOP Conference Series Materials Science and Engineering. 1085(1). 12020–12020.
10.
Rudresha, M.S., R.B. Basavaraj, G.P. Darshan, et al.. (2018). EGCG assisted Y2O3:Eu3+ nanopowders with 3D micro-architecture assemblies useful for latent finger print recognition and anti-counterfeiting applications. Sensors and Actuators B Chemical. 264. 426–439. 71 indexed citations
11.
Nagabhushana, H., G.P. Darshan, R.B. Basavaraj, et al.. (2017). Multifunctional applications of self - Assembled 3D CeO2: Cr3+ hierarchical structures synthesized via ultrasound assisted sonochemical route. Journal of Alloys and Compounds. 724. 897–909. 28 indexed citations
12.
Amudha, P., S. Karthik, & S. Sivakumari. (2016). An Experimental Analysis of Hybrid Classification Approach for Intrusion Detection. Indian Journal of Science and Technology. 9(13). 1 indexed citations
13.
Amudha, P., S. Karthik, & S. Sivakumari. (2015). A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features. The Scientific World JOURNAL. 2015(1). 574589–574589. 16 indexed citations
14.
Amudha, P., S. Karthik, & S. Sivakumari. (2015). Intrusion detection based on Core Vector Machine and ensemble classification methods. 6. 1–5. 8 indexed citations
15.
Amudha, P., S. Karthik, & S. Sivakumari. (2013). Classification Techniques for Intrusion Detection An Overview. International Journal of Computer Applications. 76(16). 33–40. 20 indexed citations
16.
Amudha, P. & Huzaifa Rauf. (2012). A Study on Swarm Intelligence Techniques in Intrusion Detection. 9–16. 4 indexed citations
17.
Amudha, P. & Huzaifa Rauf. (2011). Performance Analysis of Data Mining Approaches in Intrusion Detection. 1–6. 18 indexed citations
18.
Sivakumari, S., et al.. (2009). Accuracy Evaluation Of C4.5 And Naïve Bayes Classifiers Using Attribute Ranking Method. International Journal of Computational Intelligence Systems. 2(1). 60–68. 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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