Vinayakumar Ravi

5.2k total citations · 2 hit papers
194 papers, 2.8k citations indexed

About

Vinayakumar Ravi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vinayakumar Ravi has authored 194 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 48 papers in Computer Networks and Communications and 42 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vinayakumar Ravi's work include Network Security and Intrusion Detection (32 papers), COVID-19 diagnosis using AI (31 papers) and AI in cancer detection (30 papers). Vinayakumar Ravi is often cited by papers focused on Network Security and Intrusion Detection (32 papers), COVID-19 diagnosis using AI (31 papers) and AI in cancer detection (30 papers). Vinayakumar Ravi collaborates with scholars based in Saudi Arabia, India and United States. Vinayakumar Ravi's 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. and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal Of Pathology.

In The Last Decade

Vinayakumar Ravi

159 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recurrent deep learning-based feature fusion ensemble meta-classifier approach for intelligent network intrusion detection system

2022 126 citations Vinayakumar Ravi et al. profile →
Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks

2023 93 citations Vinayakumar Ravi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vinayakumar Ravi Saudi Arabia	31	1.1k	1.1k	723	496	451	194	2.8k
Md. Ashraf Uddin Bangladesh	27	783 0.7×	959 0.9×	213 0.3×	744 1.5×	343 0.8×	131	2.5k
Piyush Kumar Shukla India	30	587 0.5×	842 0.8×	189 0.3×	369 0.7×	455 1.0×	181	2.8k
Jafar A. Alzubi Jordan	28	874 0.8×	1.0k 1.0×	255 0.4×	574 1.2×	150 0.3×	83	2.8k
Rutvij H. Jhaveri India	35	1.6k 1.4×	1.2k 1.1×	318 0.4×	581 1.2×	187 0.4×	152	3.7k
A. Kannan India	36	2.9k 2.7×	2.1k 1.9×	661 0.9×	978 2.0×	287 0.6×	300	5.3k
Aditya Khamparia India	27	427 0.4×	1.2k 1.1×	193 0.3×	477 1.0×	661 1.5×	94	3.0k
R. Manikandan India	27	585 0.5×	687 0.6×	116 0.2×	388 0.8×	328 0.7×	148	2.2k
Mohamed Hammad Egypt	28	347 0.3×	822 0.8×	370 0.5×	343 0.7×	463 1.0×	78	2.8k
Chiranji Lal Chowdhary India	21	431 0.4×	821 0.8×	215 0.3×	229 0.5×	410 0.9×	56	1.9k
Mabrook Al‐Rakhami Saudi Arabia	28	549 0.5×	628 0.6×	144 0.2×	555 1.1×	174 0.4×	75	2.2k

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-authorship network of co-authors of Vinayakumar Ravi

This figure shows the co-authorship network connecting the top 25 collaborators of Vinayakumar Ravi. A scholar is included among the top collaborators of Vinayakumar Ravi 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 Vinayakumar Ravi. Vinayakumar Ravi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ravi, Vinayakumar, et al.. (2025). Identification of Suspect Using Transformer and Cosine Similarity Model for Forensic Voice Comparison. Security and Privacy. 8(3).

Kumar, Sandeep, et al.. (2025). Enhancing Brain Tumor Segmentation using Berkeley Wavelet Transformation and Improved SVM. 18(1).

Premjith, B., et al.. (2024). A robust accent classification system based on variational mode decomposition. Engineering Applications of Artificial Intelligence. 139. 109512–109512. 3 indexed citations

Dhanalakshmi, B., et al.. (2024). An efficient and resilience linear prefix approach for mining maximal frequent itemset using clustering. Journal of Safety Science and Resilience. 6(1). 93–104. 1 indexed citations

Ravi, Vinayakumar, et al.. (2024). A tweet sentiment classification approach using an ensemble classifier. SHILAP Revista de lepidopterología. 5. 170–177. 6 indexed citations

Dhanaraj, Rajesh Kumar, et al.. (2024). Optimizing time prediction and error classification in early melanoma detection using a hybrid RCNN‐LSTM model. Microscopy Research and Technique. 87(8). 1789–1809. 7 indexed citations

Anbarasi, L. Jani, et al.. (2024). E-voting system using cloud-based hybrid blockchain technology. Journal of Safety Science and Resilience. 5(1). 102–109. 9 indexed citations

Krishnan, Deepa, et al.. (2024). Deep hybrid approach with sequential feature extraction and classification for robust malware detection. Egyptian Informatics Journal. 27. 100539–100539. 4 indexed citations

Sowmya, V., et al.. (2024). Multiclass Classification of Tomato Leaf Diseases Using Convolutional Neural Networks and Transfer Learning. Journal of Phytopathology. 172(6).

10.

Ravi, Vinayakumar, S. Punitha, Tahani Jaser Alahmadi, et al.. (2024). DEEPSCAN: Integrating Vision Transformers for Advanced Skin Lesion Diagnostics. The Open Dermatology Journal. 18(1). 6 indexed citations

11.

Garg, Deepak, et al.. (2024). Role and Impact of Method Noise on CT Image Denoising. 17(1).

12.

Punitha, S., Vinayakumar Ravi, Thompson Stephan, et al.. (2024). Automatic Kidney Stone Detection System using Guided Bilateral Feature Detector for CT Images. The Open Public Health Journal. 17(1). 1 indexed citations

13.

Singh, Mukund Pratap, Jagendra Singh, Vinayakumar Ravi, et al.. (2024). A Healthcare System Employing Lightweight CNN for Disease Prediction with Artificial Intelligence. The Open Public Health Journal. 17(1). 9 indexed citations

14.

Singh, Jagendra, Prabhishek Singh, Vinayakumar Ravi, et al.. (2024). Enhancing Large-Diameter Tunnel Construction Safety with Robust Optimization and Machine Learning Integrated into BIM. The Open Civil Engineering Journal. 18(1).

15.

Sowmya, V., et al.. (2023). Transformer-based convolutional neural network approach for remote sensing natural scene classification. Remote Sensing Applications Society and Environment. 33. 101126–101126. 6 indexed citations

16.

Ravi, Vinayakumar, et al.. (2023). Region based medical image encryption using advanced zigzag transform and 2D logistic sine map (2DLSM). SHILAP Revista de lepidopterología. 4. 349–362. 8 indexed citations

17.

Safa, M., et al.. (2023). Real time health care big data analytics model for improved QoS in cardiac disease prediction with IoT devices. Health and Technology. 13(3). 473–483. 35 indexed citations

18.

Puttegowda, Kiran, et al.. (2023). Early Prediction of Covid-19 Samples from Chest X-ray Images using Deep Learning Approach. 16(1). 3 indexed citations

19.

Ravi, Vinayakumar. (2023). Deep learning-based network intrusion detection in smart healthcare enterprise systems. Multimedia Tools and Applications. 83(13). 39097–39115. 7 indexed citations

20.

Pham, Tuan D., Vinayakumar Ravi, Chuanwen Fan, Bin Luo, & Xiao‐Feng Sun. (2023). Tensor Decomposition of Largest Convolutional Eigenvalues Reveals Pathologic Predictive Power of RhoB in Rectal Cancer Biopsy. American Journal Of Pathology. 193(5). 579–590. 6 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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