E. S. Gopi

661 total citations
35 papers, 228 citations indexed

About

E. S. Gopi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, E. S. Gopi has authored 35 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in E. S. Gopi's work include Face and Expression Recognition (6 papers), Neural Networks and Applications (5 papers) and Blind Source Separation Techniques (3 papers). E. S. Gopi is often cited by papers focused on Face and Expression Recognition (6 papers), Neural Networks and Applications (5 papers) and Blind Source Separation Techniques (3 papers). E. S. Gopi collaborates with scholars based in India, Nepal and United States. E. S. Gopi's co-authors include P. Palanisamy, Lakshmanan Nataraj, Mohit Neema, Hemant Sharma and Sumit Chopra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Neurocomputing.

In The Last Decade

E. S. Gopi

31 papers receiving 205 citations

Peers

E. S. Gopi
E. S. Gopi
Citations per year, relative to E. S. Gopi E. S. Gopi (= 1×) peers Prashant Bartakke

Countries citing papers authored by E. S. Gopi

Since Specialization
Citations

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

Fields of papers citing papers by E. S. Gopi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. S. Gopi. 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 E. S. Gopi. The network helps show where E. S. Gopi may publish in the future.

Co-authorship network of co-authors of E. S. Gopi

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

All Works

20 of 20 papers shown
1.
Gopi, E. S., et al.. (2025). Complex chromatic imaging for enhanced radar face recognition. Computers & Electrical Engineering. 123. 110198–110198. 2 indexed citations
2.
Gopi, E. S., et al.. (2025). Complex Valued Linear Discriminant Analysis on mmWave Radar Face Signatures for Task-Oriented Semantic Communication. IEEE Transactions on Cognitive Communications and Networking. 12. 1892–1904.
3.
Gopi, E. S., et al.. (2024). Data-driven Approximation of Cumulative Distribution Function Using Particle Swarm Optimization based Finite Mixtures of Logistic Distribution. International Journal of Intelligent Systems and Applications. 16(5). 10–21.
4.
Gopi, E. S., et al.. (2024). Generalized Soil Texture Classification Using Systematic Generation of Mixtures Based on USDA Soil Classification Triangle. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
5.
Gopi, E. S., et al.. (2023). Analyzing the performance improvement of hierarchical binary classifiers using ACO through Monte Carlo simulation and multiclass engine vibration data. Expert Systems with Applications. 238. 121730–121730. 3 indexed citations
6.
Gopi, E. S., et al.. (2022). Masking technique based attention mechanism for off-type identification in plants. SHILAP Revista de lepidopterología. 8. 100282–100282. 4 indexed citations
7.
Gopi, E. S.. (2021). Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication. Lecture notes in electrical engineering. 14 indexed citations
10.
11.
Gopi, E. S., et al.. (2017). Ant Colony Technique for Optimizing the Order of Cascaded SVM Classifier for Sunflower Seed Classification. IEEE Transactions on Emerging Topics in Computational Intelligence. 2(1). 78–88. 23 indexed citations
12.
Gopi, E. S., et al.. (2015). Musical Notes Identification using Digital Signal Processing. Procedia Computer Science. 57. 876–884. 7 indexed citations
13.
Gopi, E. S., et al.. (2013). Neural Network Modeling of Color Array Filter for Digital Forgery Detection Using Kernel LDA. Procedia Technology. 10. 498–504. 1 indexed citations
14.
Gopi, E. S.. (2013). Digital Speech Processing Using Matlab. Signals and communication technology. 14 indexed citations
15.
Gopi, E. S. & P. Palanisamy. (2013). Fast computation of PCA bases of image subspace using its inner-product subspace. Applied Mathematics and Computation. 219(12). 6729–6732. 2 indexed citations
16.
Gopi, E. S. & P. Palanisamy. (2012). Formulating Particle Swarm Optimization based Generalized Kernel Function for Kernel-Linear Discriminant Analysis. Procedia Technology. 6. 517–525. 3 indexed citations
17.
Gopi, E. S.. (2007). Algorithm Collections for Digital Signal Processing Applications Using Matlab. DIAL (Catholic University of Leuven). 33 indexed citations
18.
Gopi, E. S., et al.. (2006). Brain Computer Interface Analysis using Wavelet Transforms and Auto Regressive Coefficients. 169–172. 7 indexed citations
19.
Gopi, E. S., et al.. (2005). Karhunen-loeve transform based hand identification system. 166–169. 1 indexed citations
20.
Gopi, E. S., et al.. (2005). SVM approach to number plate recognition and classification system. 264–267. 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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