Ramkumar Devendiran
Impact in
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- Network Security and Intrusion Detection
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- Digital Transformation in Industry
Papers in
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- Network Security and Intrusion Detection 3
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- Internet Traffic Analysis and Secure E-voting 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Anil V. Turukmane (3 shared papers)Padmanathan Kasinathan (3 shared papers)Vigna K. Ramachandaramurthy (2 shared papers)Rishi Pugazhendhi (1 shared paper)Sachin Kumar (1 shared paper)Rajvikram Madurai Elavarasan (1 shared paper)Senthilkumar Subramanian (1 shared paper)Mohammed H. Alsharif (1 shared paper)
In The Last Decade
Ramkumar Devendiran
7 papers receiving 301 citations
Ramkumar Devendiran's Hit Papers
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 132
- Industrial and Manufacturing Engineering 51
- Signal Processing 55
- Automotive Engineering 42
- Artificial Intelligence 98
Countries citing papers authored by Ramkumar Devendiran
This map shows the geographic impact of Ramkumar Devendiran'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 Ramkumar Devendiran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramkumar Devendiran more than expected).
Fields of papers citing papers by Ramkumar Devendiran
This network shows the impact of papers produced by Ramkumar Devendiran. 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 Ramkumar Devendiran. The network helps show where Ramkumar Devendiran may publish in the future.
Co-authors
The 21 scholars most cited alongside Ramkumar Devendiran, 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 | 2022 | 104 | |
| 2 | 2023 | 68 | |
| 3 | Dugat-LSTM: Deep learning based network intrusion detection system using chaotic optimization strategy Hit paper breakdown → | 2024 | 57 |
| 4 | 2022 | 53 | |
| 5 | 2021 | 23 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 |
About Ramkumar Devendiran
Ramkumar Devendiran is a scholar working on Computer Networks and Communications, Artificial Intelligence, Automotive Engineering, Electrical and Electronic Engineering and Signal Processing, having authored 8 papers that have together received 318 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Electric Vehicles and Infrastructure (2 papers), Transportation and Mobility Innovations (2 papers), Anomaly Detection Techniques and Applications (2 papers), COVID-19 impact on air quality (1 paper), Advanced Malware Detection Techniques (1 paper) and Advanced Battery Technologies Research (1 paper). The work is most often cited by research in Computer Networks and Communications (132 citations), Industrial and Manufacturing Engineering (51 citations), Signal Processing (55 citations), Automotive Engineering (42 citations) and Artificial Intelligence (98 citations). Ramkumar Devendiran has collaborated with scholars based in India, Malaysia and Australia. Frequent co-authors include Anil V. Turukmane, Padmanathan Kasinathan, Vigna K. Ramachandaramurthy, Rishi Pugazhendhi, Sachin Kumar, Rajvikram Madurai Elavarasan, Senthilkumar Subramanian, Mohammed H. Alsharif, R. Vinoth and Prabhakar Sharma. Their work appears in journals such as Energy Sources Part A Recovery Utilization and Environmental Effects, Computers & Security, International Journal of Intelligent Systems, Expert Systems with Applications and Sustainability.
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.