V. Vinoth Kumar

2.2k total citations · 1 hit paper
75 papers, 1.1k citations indexed

About

V. Vinoth Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Health Information Management. According to data from OpenAlex, V. Vinoth Kumar has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 17 papers in Computer Networks and Communications and 11 papers in Health Information Management. Recurrent topics in V. Vinoth Kumar's work include AI in cancer detection (11 papers), Artificial Intelligence in Healthcare (10 papers) and Brain Tumor Detection and Classification (10 papers). V. Vinoth Kumar is often cited by papers focused on AI in cancer detection (11 papers), Artificial Intelligence in Healthcare (10 papers) and Brain Tumor Detection and Classification (10 papers). V. Vinoth Kumar collaborates with scholars based in India, Ethiopia and Saudi Arabia. V. Vinoth Kumar's co-authors include T R Mahesh, V. Muthukumaran, V. Dhilip Kumar, Syed Thouheed Ahmed, Oana Geman, M. Mohamed Musthafa, Junaid Asghar, N. Bharanidharan, S. R. Sannasi Chakravarthy and Suresh Guluwadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

V. Vinoth Kumar

70 papers receiving 1.1k 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.

Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50

2024 53 citations T R Mahesh, V. Vinoth Kumar et al. BMC Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Vinoth Kumar India	21	435	194	165	142	136	75	1.1k
Satvik Vats India	19	329 0.8×	162 0.8×	180 1.1×	144 1.0×	88 0.6×	184	1.5k
Pundru Chandra Shaker Reddy India	23	421 1.0×	123 0.6×	158 1.0×	113 0.8×	128 0.9×	93	1.1k
T R Mahesh India	21	529 1.2×	309 1.6×	124 0.8×	235 1.7×	180 1.3×	163	1.4k
Hani Alquhayz Saudi Arabia	17	318 0.7×	163 0.8×	196 1.2×	130 0.9×	67 0.5×	55	915
Dilovan Asaad Zebari Iraq	21	588 1.4×	335 1.7×	152 0.9×	310 2.2×	166 1.2×	54	1.2k
M. Rubaiyat Hossain Mondal Bangladesh	18	518 1.2×	304 1.6×	109 0.7×	123 0.9×	64 0.5×	75	1.2k
Diyar Qader Zeebaree Iraq	14	646 1.5×	308 1.6×	113 0.7×	360 2.5×	125 0.9×	25	1.3k
Atef Zaguia Saudi Arabia	19	326 0.7×	184 0.9×	179 1.1×	245 1.7×	54 0.4×	51	1.2k
Sultan H. Almotiri Saudi Arabia	16	257 0.6×	130 0.7×	236 1.4×	241 1.7×	168 1.2×	36	1.1k
S. K. Lakshmanaprabu India	16	314 0.7×	236 1.2×	237 1.4×	269 1.9×	63 0.5×	33	1.1k

Countries citing papers authored by V. Vinoth Kumar

Since Specialization

Citations

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

Fields of papers citing papers by V. Vinoth Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Vinoth Kumar. 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 V. Vinoth Kumar. The network helps show where V. Vinoth Kumar may publish in the future.

Co-authorship network of co-authors of V. Vinoth Kumar

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mahesh, T R, et al.. (2024). An XAI-enhanced efficientNetB0 framework for precision brain tumor detection in MRI imaging. Journal of Neuroscience Methods. 410. 110227–110227. 11 indexed citations

Mahesh, T R, et al.. (2024). Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging. 24(1). 28 indexed citations

Mahesh, T R, et al.. (2024). Attention-Based Feature Fusion With External Attention Transformers for Breast Cancer Histopathology Analysis. IEEE Access. 12. 126296–126312. 6 indexed citations

Chakravarthy, S. R. Sannasi, et al.. (2024). Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization. International Journal of Computational Intelligence Systems. 17(1). 23 indexed citations

Kumar, V. Vinoth & P. Pabitha. (2024). Privacy-Preserving Brakerski-Gentry-Vaikuntanathan (BGV) Homomorphic Encryption for IoMT Data Security. 1–6. 2 indexed citations

Mahesh, T R, Surbhi Bhatia, Palaiahnakote Shivakumara, et al.. (2024). An Adaptive Xception Model for Classification of Brain Tumors. International Journal of Pattern Recognition and Artificial Intelligence. 38(8). 2 indexed citations

Ahmed, Syed Thouheed, R. Sivakami, V. Vinoth Kumar, et al.. (2024). PrEGAN: Privacy-Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification. IEEE Transactions on Consumer Electronics. 70(3). 6166–6173. 5 indexed citations

Ahmed, Syed Thouheed, R. Sivakami, Surbhi Bhatia, et al.. (2024). Federated Learning Framework for Consumer IoMT-Edge Resource Recommendation Under Telemedicine Services. IEEE Transactions on Consumer Electronics. 71(1). 252–259.

Chakravarthy, S. R. Sannasi, N. Bharanidharan, V. Vinoth Kumar, et al.. (2024). Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer. BMC Medical Imaging. 24(1). 82–82. 16 indexed citations

10.

Kumar, V. Vinoth, et al.. (2023). Analysis and Attack Detection in GSM Mobile Network With an Intelligent Jammer Using ANFIS Classifier. IEEE Access. 11. 118962–118972. 2 indexed citations

11.

Ahmed, Syed Thouheed, et al.. (2023). AITel: eHealth Augmented-Intelligence-Based Telemedicine Resource Recommendation Framework for IoT Devices in Smart Cities. IEEE Internet of Things Journal. 10(21). 18461–18468. 43 indexed citations

12.

Kumar, V. Vinoth, et al.. (2023). Cluster-Based Protocol for Prioritized Message Communication in VANET. IEEE Access. 11. 67434–67442. 9 indexed citations

13.

Sivakami, R., et al.. (2023). Ensemble of Homogenous and Heterogeneous Classifiers using K-Fold Cross Validation with Reduced Entropy. International Journal on Recent and Innovation Trends in Computing and Communication. 11(8s). 315–324. 4 indexed citations

14.

Reddy, A. Mallikarjuna, et al.. (2022). An Efficient Multilevel Thresholding Scheme for Heart Image Segmentation Using a Hybrid Generalized Adversarial Network. Journal of Sensors. 2022. 1–11. 19 indexed citations

15.

Mahesh, T R, et al.. (2022). Cervical Cancer Diagnosis Using Intelligent Living Behavior of Artificial Jellyfish Optimized With Artificial Neural Network. IEEE Access. 10. 126957–126968. 25 indexed citations

16.

Lee, Jae‐Wook, Jagannath Mondal, Han Sang Kim, et al.. (2022). Magnetofluoro-Immunosensing Platform Based on Binary Nanoparticle-Decorated Graphene for Detection of Cancer Cell-Derived Exosomes. International Journal of Molecular Sciences. 23(17). 9619–9619. 7 indexed citations

17.

Mahesh, T R, et al.. (2022). Performance Analysis of XGBoost Ensemble Methods for Survivability with the Classification of Breast Cancer. Journal of Sensors. 2022. 1–8. 50 indexed citations

18.

Muthukumaran, V., et al.. (2021). Improving Network Security Based on Trust-Aware Routing Protocols Using Long Short-Term Memory-Queuing Segment-Routing Algorithms. International Journal of Information Technology Project Management. 12(4). 47–60. 15 indexed citations

19.

Shokouhi, Parisa, et al.. (2020). A physics-informed deep learning method for prediction of CO2 storage site response. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

20.

Kumar, V. Vinoth, et al.. (2015). Security and Privacy for Storage and Computation in Cloud Computing. International Journal of Science and Research (IJSR). 4(12). 525–527. 4 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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