M. Parimala
Impact in
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
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- Advanced Clustering Algorithms Research 2
- Machine Learning in Healthcare 2
- Anomaly Detection Techniques and Applications 2
- Advanced Graph Neural Networks 2
- Internet Traffic Analysis and Secure E-voting 2
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- Complex Network Analysis Techniques 5
- Co-authors
- Praveen Kumar Reddy Maddikunta (6 shared papers)Thippa Reddy Gadekallu (5 shared papers)Mamoun Alazab (3 shared papers)Chiranji Lal Chowdhary (3 shared papers)Srinivas Koppu (1 shared paper)Quoc‐Viet Pham (1 shared paper)Saqib Hakak (2 shared papers)Kuruva Lakshmanna (2 shared papers)
In The Last Decade
M. Parimala
16 papers receiving 1.0k citations
M. Parimala's Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Networks and Communications 423
- Signal Processing 197
- Artificial Intelligence 488
- Health Informatics 13
- Information Systems 193
Countries citing papers authored by M. Parimala
This map shows the geographic impact of M. Parimala'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 M. Parimala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Parimala more than expected).
Fields of papers citing papers by M. Parimala
This network shows the impact of papers produced by M. Parimala. 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 M. Parimala. The network helps show where M. Parimala may publish in the future.
Co-authors
The 18 scholars most cited alongside M. Parimala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture Hit paper breakdown → | 2020 | 362 |
| 2 | Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions Hit paper breakdown → | 2021 | 215 |
| 3 | Hand gesture classification using a novel CNN-crow search algorithm Hit paper breakdown → | 2021 | 147 |
| 4 | 2022 | 141 | |
| 5 | 2020 | 92 | |
| 6 | 2020 | 54 | |
| 7 | 2019 | 13 | |
| 8 | 2017 | 13 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 6 | |
| 11 | 2015 | 6 | |
| 12 | 2015 | 4 | |
| 13 | 2016 | 3 | |
| 14 | 2016 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2023 | 0 |
About M. Parimala
M. Parimala is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Transportation and Molecular Biology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Human Mobility and Location-Based Analysis (3 papers), Network Security and Intrusion Detection (3 papers), Advanced Clustering Algorithms Research (2 papers), Machine Learning in Healthcare (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Graph Neural Networks (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Networks and Communications (423 citations), Signal Processing (197 citations), Artificial Intelligence (488 citations), Health Informatics (13 citations) and Information Systems (193 citations). M. Parimala has collaborated with scholars based in India, Australia and Canada. Frequent co-authors include Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Mamoun Alazab, Chiranji Lal Chowdhary, Srinivas Koppu, Quoc‐Viet Pham, Saqib Hakak, Kuruva Lakshmanna, Rajesh Kaluri and Sweta Bhattacharya. Their work appears in journals such as Computer Communications, Indian Journal of Science and Technology, Software Practice and Experience, IEEE Transactions on Industrial Informatics and Vehicular Communications.
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.