G. Sathish Kumar

447 total citations
25 papers, 250 citations indexed

About

G. Sathish Kumar is a scholar working on Artificial Intelligence, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, G. Sathish Kumar has authored 25 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Mechanical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in G. Sathish Kumar's work include Diamond and Carbon-based Materials Research (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Brain Tumor Detection and Classification (3 papers). G. Sathish Kumar is often cited by papers focused on Diamond and Carbon-based Materials Research (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Brain Tumor Detection and Classification (3 papers). G. Sathish Kumar collaborates with scholars based in India, Australia and Vietnam. G. Sathish Kumar's co-authors include K. Premalatha, P. Rajesh Kanna, Shadi Houshyar, Amitava Bhattacharyya, Kate Fox, Aaqil Rifai, Rajiv Padhye, Robert A. Shanks, Rajkishore Nayak and Nhiem Tran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

G. Sathish Kumar

23 papers receiving 235 citations

Peers

G. Sathish Kumar

BIOMA

CNC

Guanxiong Liu United States

Taohong Zhang China

Arnaud Lejeune France

Yoonho Lee South Korea

Guangliang Yang China

Nan Dong China

Jiachen Wang China

Yugang Wang China

Yuanhang Yang China

Guanxiong Liu United States

G. Sathish Kumar

73 ×1.0

51 ×1.0

17 ×0.3

12 ×0.3

BIOMA

58 ×1.8

CNC

Citations per year, relative to G. Sathish Kumar G. Sathish Kumar (= 1×) peers Guanxiong Liu

Countries citing papers authored by G. Sathish Kumar

Since Specialization

Citations

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

Fields of papers citing papers by G. Sathish Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Sathish Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of G. Sathish Kumar. A scholar is included among the top collaborators of G. Sathish 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 G. Sathish Kumar. G. Sathish Kumar 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

Kumar, G. Sathish, S. Sountharrajan, Balamurugan Balusamy, et al.. (2025). SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence. Scientific Reports. 15(1). 1245–1245. 3 indexed citations

Kanna, P. Rajesh, et al.. (2025). An efficient optimized deep learning model for the risk prediction of arterial stiffness in diabetes patients. Biomedical Signal Processing and Control. 110. 108161–108161. 1 indexed citations

Ramesh, K. V., et al.. (2024). ZFNet and deep Maxout network based cancer prediction using gene expression data. Biomedical Signal Processing and Control. 100. 107038–107038. 2 indexed citations

Kumar, G. Sathish, et al.. (2024). A synergistic framework for histopathologic cancer detection using Epicurve Search –PSB model with surrosec Optimizer. Biomedical Signal Processing and Control. 96. 106498–106498. 3 indexed citations

Kumar, G. Sathish, et al.. (2024). Gene-Based Predictive Modelling for Enhanced Detection of Systemic Lupus Erythematosus Using CNN-Based DL Algorithm. Diagnostics. 14(13). 1339–1339. 2 indexed citations

Kumar, G. Sathish, et al.. (2023). Differential privacy scheme using Laplace mechanism and statistical method computation in deep neural network for privacy preservation. Engineering Applications of Artificial Intelligence. 128. 107399–107399. 37 indexed citations

Murugesan, M., et al.. (2023). Multi-modal emotion recognition through adaptive normalization fusion with alpha Gaussian dropout in MCNN architecture. Signal Image and Video Processing. 18(2). 1779–1791. 1 indexed citations

Latha, B., et al.. (2023). Hand Gesture and Voice Assistants. SHILAP Revista de lepidopterología. 399. 4050–4050. 2 indexed citations

Kumar, G. Sathish & K. Premalatha. (2023). STIF: Intuitionistic fuzzy Gaussian membership function with statistical transformation weight of evidence and information value for private information preservation. Distributed and Parallel Databases. 41(3). 233–266. 8 indexed citations

10.

Kumar, G. Sathish, et al.. (2023). No more privacy Concern: A privacy-chain based homomorphic encryption scheme and statistical method for privacy preservation of user’s private and sensitive data. Expert Systems with Applications. 234. 121071–121071. 37 indexed citations

11.

Ramesh, M., et al.. (2022). Synthesis and Characterization of Banana and Pineapple Reinforced Hybrid Polymer Composite for Reducing Environmental Pollution. Bioinorganic Chemistry and Applications. 2022(1). 6344179–6344179. 8 indexed citations

12.

Kumar, G. Sathish, et al.. (2022). Investigation of the TIG Welding Process for Joining AA6082 Alloy Using Grey Relational Analysis. Advances in Materials Science and Engineering. 2022. 1–8. 11 indexed citations

13.

Houshyar, Shadi, Amitava Bhattacharyya, Asma Khalid, et al.. (2021). Multifunctional Sutures with Temperature Sensing and Infection Control. Macromolecular Bioscience. 21(3). e2000364–e2000364. 14 indexed citations

14.

Houshyar, Shadi, Avik Sarker, G. Sathish Kumar, et al.. (2020). Polypropylene-nanodiamond composite for hernia mesh. Materials Science and Engineering C. 111. 110780–110780. 37 indexed citations

15.

Kumar, G. Sathish, et al.. (2020). Evaluation of Al-C-B4C composites fabricated by powder metallurgy for hardness and wear behaviour. Materials Today Proceedings. 37. 2991–2996. 4 indexed citations

16.

Sountharrajan, S., et al.. (2020). Automatic classification for preventing duplication of online multimedia data in secure cloud infrastructure. International Journal of Advanced Intelligence Paradigms. 16(3/4). 404–404. 4 indexed citations

17.

Dinesh‐Kumar, Savithramma P., et al.. (2020). Design and simulation of handwritten recognition system. Materials Today Proceedings. 45. 626–629. 6 indexed citations

18.

Houshyar, Shadi, G. Sathish Kumar, Aaqil Rifai, et al.. (2019). Nanodiamond/poly-ε-caprolactone nanofibrous scaffold for wound management. Materials Science and Engineering C. 100. 378–387. 47 indexed citations

19.

Kumar, G. Sathish, et al.. (2014). To enhance throughput capacity of manets with power control and packet redundancy. 512–516. 1 indexed citations

20.

Kumar, G. Sathish, R. Sellamuthu, & Sanjivi Arul. (2014). Determination of Melting Efficiency of Mild Steel in GTA Welding Process. Applied Mechanics and Materials. 592-594. 139–143. 2 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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