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
- Anomaly Detection Techniques and Applications 2
- Internet Traffic Analysis and Secure E-voting 2
- Cryptography and Data Security 1
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- Complex Network Analysis Techniques 4
- 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)Rajesh Kaluri (2 shared papers)
In The Last Decade
M. Parimala
15 papers receiving 952 citations
M. Parimala's Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Networks and Communications 395
- Signal Processing 179
- Artificial Intelligence 453
- Information Systems 182
- Human-Computer Interaction 40
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 17 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 | 340 |
| 2 | Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions Hit paper breakdown → | 2021 | 197 |
| 3 | Hand gesture classification using a novel CNN-crow search algorithm Hit paper breakdown → | 2021 | 144 |
| 4 | 2022 | 132 | |
| 5 | 2020 | 85 | |
| 6 | 2020 | 52 | |
| 7 | 2017 | 12 | |
| 8 | 2019 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2015 | 4 | |
| 11 | 2015 | 3 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 1 |
About M. Parimala
M. Parimala is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Transportation and Electrical and Electronic Engineering, having authored 15 papers that have together received 992 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Human Mobility and Location-Based Analysis (3 papers), Advanced Clustering Algorithms Research (2 papers), Anomaly Detection Techniques and Applications (2 papers), Network Security and Intrusion Detection (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Autonomous Vehicle Technology and Safety (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Computer Networks and Communications (395 citations), Signal Processing (179 citations), Artificial Intelligence (453 citations), Information Systems (182 citations) and Human-Computer Interaction (40 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, Rajesh Kaluri, Kuruva Lakshmanna and Sweta Bhattacharya. Their work appears in journals such as Computer Communications, Vehicular Communications, IEEE Transactions on Industrial Informatics, Complex & Intelligent Systems and Software Practice and Experience.
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.