Vinayakumar Ravi

159 papers receiving 2.6k citations

Vinayakumar Ravi's Hit Papers

Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks 2023 · 93 citations
930+1+2Years since publication4080120

Peers

Vinayakumar Ravi
Comparison fields: 5 of 154
  • Signal Processing 723
  • Computer Networks and Communications 1.1k
  • Health Informatics 58
  • Artificial Intelligence 1.1k
  • Health Information Management 133
Replace Jafar A. Alzubi with:
Jafar A. Alzubi Jordan
Rutvij H. Jhaveri India
Ahmed Ghoneim Saudi Arabia
Shamsul Huda Australia
Mazhar Javed Awan Pakistan
Mohamed Hammad Egypt
A. Kannan India
Chan Yeob Yeun United Arab Emirates
Chiranji Lal Chowdhary India
Zhiguang Qin China
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Citations per field
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Jafar A. Alzubi · 1×
Citations per year

Countries citing papers authored by Vinayakumar Ravi

Since Specialization
Citations

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

Fields of papers citing papers by Vinayakumar Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vinayakumar Ravi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vinayakumar Ravi Line = papers co-authored together Vinayakumar Ravi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system
Hit paper breakdown →
2022126
2 2021101
3 202296
4
Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks
Hit paper breakdown →
202393
5 202284
6 202271
7 202269
8 202265
9 202265
10 202261
11 202160
12 202158
13 202257
14 202154
15 202153
16 202352
17 202148
18 202148
19 202243
20 202043

About Vinayakumar Ravi

Vinayakumar Ravi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging, Signal Processing and Computer Vision and Pattern Recognition, having authored 194 papers that have together received 2.8k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (32 papers), COVID-19 diagnosis using AI (31 papers), AI in cancer detection (30 papers), Advanced Malware Detection Techniques (28 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Artificial Intelligence in Healthcare (17 papers), Brain Tumor Detection and Classification (15 papers) and Internet Traffic Analysis and Secure E-voting (14 papers). The work is most often cited by research in Signal Processing (723 citations), Computer Networks and Communications (1.1k citations), Health Informatics (58 citations), Artificial Intelligence (1.1k citations) and Health Information Management (133 citations). Vinayakumar Ravi has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Rajasekhar Chaganti, Tuan D. Pham, Mamoun Alazab, V. Sowmya, Vasundhara Acharya, Chinmay Chakraborty, Pooja Yadav, Hemanta Kumar Bhuyan, K. P. Soman and Soman K.P.. Their work appears in journals such as Multimedia Tools and Applications, IEEE Transactions on Engineering Management, Journal of Safety Science and Resilience, Transactions on Emerging Telecommunications Technologies 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.

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