J. Premalatha

450 total citations
30 papers, 269 citations indexed

About

J. Premalatha is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. Premalatha has authored 30 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 12 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. Premalatha's work include Chaos-based Image/Signal Encryption (7 papers), Biometric Identification and Security (5 papers) and Advanced Steganography and Watermarking Techniques (5 papers). J. Premalatha is often cited by papers focused on Chaos-based Image/Signal Encryption (7 papers), Biometric Identification and Security (5 papers) and Advanced Steganography and Watermarking Techniques (5 papers). J. Premalatha collaborates with scholars based in India, Serbia and China. J. Premalatha's co-authors include Vani Rajasekar, S. Velliangiri, Muzafer Saračević, Mohamed Elhoseny, Darjan Karabašević, Dragiša Stanujkić, Bratislav Predić, P. Balasubramanie, Usman Tariq and M. Hassaballah and has published in prestigious journals such as Scientific Reports, Wireless Personal Communications and Wireless Communications and Mobile Computing.

In The Last Decade

J. Premalatha

27 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Premalatha India 9 103 93 93 80 73 30 269
R. Venkatesh India 10 58 0.6× 62 0.7× 101 1.1× 41 0.5× 89 1.2× 75 321
Emmanuel Conchon France 8 48 0.5× 127 1.4× 90 1.0× 25 0.3× 63 0.9× 21 231
Mohamad Noura Lebanon 5 68 0.7× 145 1.6× 112 1.2× 134 1.7× 170 2.3× 6 346
Sufyan Al-Janabi Iraq 8 46 0.4× 125 1.3× 55 0.6× 46 0.6× 106 1.5× 64 240
Thuc D. Nguyen Vietnam 10 62 0.6× 89 1.0× 134 1.4× 122 1.5× 102 1.4× 28 318
J. Hemalatha India 6 143 1.4× 129 1.4× 49 0.5× 116 1.4× 112 1.5× 19 302
Baoning Niu China 9 53 0.5× 81 0.9× 90 1.0× 141 1.8× 55 0.8× 40 279
D. Lalitha Bhaskari India 8 122 1.2× 173 1.9× 73 0.8× 36 0.5× 145 2.0× 32 284
Mingsheng Cao China 9 34 0.3× 76 0.8× 80 0.9× 146 1.8× 135 1.8× 30 334
Shan-Hung Wu Taiwan 13 45 0.4× 204 2.2× 66 0.7× 43 0.5× 102 1.4× 30 326

Countries citing papers authored by J. Premalatha

Since Specialization
Citations

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

Fields of papers citing papers by J. Premalatha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Premalatha

This figure shows the co-authorship network connecting the top 25 collaborators of J. Premalatha. A scholar is included among the top collaborators of J. Premalatha 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 J. Premalatha. J. Premalatha 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.
Venkatachalam, Chitra Devi, et al.. (2025). Optimization and Process Validation of Freeze‐Structured Meat Substitute Using Machine Learning Models. Journal of Food Process Engineering. 48(3). 2 indexed citations
2.
3.
Premalatha, J., et al.. (2024). Enhancing security and scalability by AI/ML workload optimization in the cloud. Cluster Computing. 27(10). 13455–13469. 11 indexed citations
4.
Rajasekar, Vani, Muzafer Saračević, M. Hassaballah, et al.. (2023). Efficient Multimodal Biometric Recognition for Secure Authentication Based on Deep Learning Approach. International Journal of Artificial Intelligence Tools. 32(3). 13 indexed citations
5.
Rajasekar, Vani, Bratislav Predić, Muzafer Saračević, et al.. (2022). Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm. Scientific Reports. 12(1). 622–622. 61 indexed citations
6.
Rajasekar, Vani, et al.. (2021). Enhanced WSN Routing Protocol for Internet of Things to Process Multimedia Big Data. Wireless Personal Communications. 126(3). 2081–2100. 6 indexed citations
7.
Premalatha, J., et al.. (2021). Online food court payment processing using blockchain. AIP conference proceedings. 2387. 140033–140033. 1 indexed citations
8.
Rajasekar, Vani, et al.. (2021). An Enhanced Anti-phishing Scheme to Detect Phishing Website. IOP Conference Series Materials Science and Engineering. 1055(1). 12077–12077. 1 indexed citations
9.
Rajasekar, Vani, et al.. (2020). Multi-factor signcryption scheme for secure authentication using hyper elliptic curve cryptography and bio-hash function. Bulletin of the Polish Academy of Sciences Technical Sciences. 923–935. 8 indexed citations
10.
Premalatha, J., et al.. (2020). Reinforcing Cyber World Security with Deep Learning Approaches. 766–769. 5 indexed citations
11.
Rajasekar, Vani, et al.. (2020). Enhanced Biometric Recognition for Secure Authentication Using Iris Preprocessing and Hyperelliptic Curve Cryptography. Wireless Communications and Mobile Computing. 2020. 1–15. 16 indexed citations
12.
Premalatha, J., et al.. (2020). Performance analysis of machine learning techniques for the prediction of breast cancer in big data environment. AIP conference proceedings. 2240. 140006–140006. 1 indexed citations
13.
Rajasekar, Vani, et al.. (2019). An Efficient Signcryption Scheme for Secure Authentication using Hyper Elliptic Curve Cryptography and Keccak Hashing. International Journal of Recent Technology and Engineering (IJRTE). 8(3). 1593–1598. 7 indexed citations
14.
15.
Premalatha, J., et al.. (2017). Performance Amelioration of Manets Using cooperative Routing with Cross-Layer Design. International Journal of Business Intelligence and Data Mining. 12(2/3). 1–1. 1 indexed citations
16.
Velliangiri, S. & J. Premalatha. (2017). Intrusion detection of distributed denial of service attack in cloud. Cluster Computing. 22(S5). 10615–10623. 38 indexed citations
17.
Rajasekar, Vani, et al.. (2016). Biometric signcryption using hyperelliptic curve and cryptographically secure random number. 1–7. 2 indexed citations
18.
Premalatha, J., et al.. (2016). Renaissance System Model Improving Security and Third Party Auditing in Cloud Computing. Wireless Personal Communications. 90(2). 1051–1066. 7 indexed citations
19.
Premalatha, J., et al.. (2016). Region based find and spray scheme for co-operative data communication in vehicular cyber-physical systems. Intelligent Automation & Soft Computing. 23(3). 501–507. 1 indexed citations
20.
Premalatha, J. & P. Balasubramanie. (2008). Performance Evaluation of QoS by Combining Medium Access Control and Slow Start in MANETS. Computer and Information Science. 1(4). 1 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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