R. Sukanesh

1.2k total citations
71 papers, 871 citations indexed

About

R. Sukanesh is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, R. Sukanesh has authored 71 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 18 papers in Cognitive Neuroscience and 15 papers in Artificial Intelligence. Recurrent topics in R. Sukanesh's work include EEG and Brain-Computer Interfaces (18 papers), Image and Signal Denoising Methods (11 papers) and Neural Networks and Applications (11 papers). R. Sukanesh is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Image and Signal Denoising Methods (11 papers) and Neural Networks and Applications (11 papers). R. Sukanesh collaborates with scholars based in India, United States and Malaysia. R. Sukanesh's co-authors include S. Sudha, G. Suresh, D. Devaraj, T. Jayasree, Harikumar Rajaguru, S. Palanivel Rajan, M. Murugesan, P. Venkatakrishnan, R. Kalidoss and Anil Kumar and has published in prestigious journals such as Neurocomputing, Advances in experimental medicine and biology and Journal of Medical Systems.

In The Last Decade

R. Sukanesh

68 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Sukanesh India 16 400 187 175 135 127 71 871
Ghada M. El‐Banby Egypt 20 577 1.4× 219 1.2× 190 1.1× 76 0.6× 89 0.7× 84 1.1k
K. Satya Prasad India 15 328 0.8× 145 0.8× 103 0.6× 94 0.7× 100 0.8× 91 625
Yizeng Han China 12 559 1.4× 361 1.9× 113 0.6× 141 1.0× 34 0.3× 22 1.0k
Sanjay Agrawal India 18 736 1.8× 309 1.7× 398 2.3× 62 0.5× 153 1.2× 63 1.2k
Enrique Efrén García-Guerrero Mexico 19 507 1.3× 182 1.0× 52 0.3× 110 0.8× 108 0.9× 43 1.1k
Prabin Kumar Bora India 18 781 2.0× 159 0.9× 147 0.8× 106 0.8× 19 0.1× 149 1.3k
Mihir Narayan Mohanty India 14 230 0.6× 286 1.5× 28 0.2× 205 1.5× 91 0.7× 216 953
Sheng Li China 16 215 0.5× 193 1.0× 49 0.3× 113 0.8× 25 0.2× 103 790
M. Sultan Zia Pakistan 13 170 0.4× 140 0.7× 51 0.3× 214 1.6× 110 0.9× 25 704
Jean Andrian United States 12 215 0.5× 62 0.3× 68 0.4× 173 1.3× 34 0.3× 45 635

Countries citing papers authored by R. Sukanesh

Since Specialization
Citations

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

Fields of papers citing papers by R. Sukanesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Sukanesh

This figure shows the co-authorship network connecting the top 25 collaborators of R. Sukanesh. A scholar is included among the top collaborators of R. Sukanesh 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 R. Sukanesh. R. Sukanesh 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.
Sukanesh, R., et al.. (2017). Investigations of severity level measurements for diabetic macular oedema using machine learning algorithms. Irish Journal of Medical Science (1971 -). 186(4). 929–938. 19 indexed citations
2.
Sukanesh, R., et al.. (2014). A Portable Wireless ECG Monitoring System using GSM Technique with Real Time Detection of Beat Abnormalities. International Journal of Engineering Research. 3(2). 108–111. 6 indexed citations
3.
Sukanesh, R., et al.. (2012). Cloud Based Emergency Health Care Information Service in India. Journal of Medical Systems. 36(6). 4031–4036. 38 indexed citations
4.
Sukanesh, R., et al.. (2012). Combined texture feature analysis of segmentation and classification of benign and malignant tumour CT slices. Journal of Medical Engineering & Technology. 37(1). 1–9. 7 indexed citations
5.
Sukanesh, R., et al.. (2012). Investigations on the synthesis of uniform linear antenna array using biogeography-based optimisation techniques. International Journal of Bio-Inspired Computation. 4(2). 119–119. 6 indexed citations
6.
Sukanesh, R., et al.. (2011). Synthesis of linear antenna array using genetic algorithm with cost based roulette to maximize side lobe level reduction. WSEAS TRANSACTIONS on COMMUNICATIONS archive. 10(12). 385–394. 2 indexed citations
7.
Sukanesh, R., et al.. (2011). Texture Feature Based Analysis of Segmenting Soft Tissues from Brain CT Images using BAM type Artificial Neural Network. Journal of information engineering and applications. 1(4). 34–43. 8 indexed citations
8.
Sukanesh, R. & Harikumar Rajaguru. (2011). Analysis of Photo-Plethysmography (PPG) Signals with Motion Artifacts (Gaussian Noise) Using Wavelet Transforms. 16(1). 135–139. 5 indexed citations
9.
Sukanesh, R., et al.. (2011). An Efficient Algorithm for Denoising MR and CT Images Using Digital Curvelet Transform. Advances in experimental medicine and biology. 696. 471–480. 17 indexed citations
10.
Sukanesh, R., et al.. (2010). Smart antenna -AOA estimation employing music algorithm and digital beamforming by variable step-size LMS algorithm with novel MAC protocol for IEEE 802.11. 187–192.
11.
Venkatakrishnan, P., et al.. (2010). Detection of quadratic phase coupling from human EEG signals using higher order statistics and spectra. Signal Image and Video Processing. 5(2). 217–229. 11 indexed citations
12.
Sukanesh, R., et al.. (2010). Automatic Detection of Porosity and Slag Inclusion in Boilers using Statistical Pattern Recognition Techniques. International Journal of Computer Applications. 1(21). 75–81. 4 indexed citations
13.
Jayasree, T., D. Devaraj, & R. Sukanesh. (2009). Classification of Transients using Wavelet Based Entropy and Radial Basis Neural Networks. International Journal of Computer and Electrical Engineering. 590–595. 14 indexed citations
14.
Sukanesh, R. & Harikumar Rajaguru. (2007). A Comparison of Genetic Algorithm & Neural Network (MLP) In Patient Specific Classification of Epilepsy Risk Levels from EEG Signals.. Engineering letters. 14. 96–104. 5 indexed citations
15.
Sukanesh, R. & Harikumar Rajaguru. (2007). Diagnosis and Classification of Epilepsy Risk Levels from EEG Signals Using Fuzzy Aggregation Techniques. Engineering letters. 14. 90–95. 4 indexed citations
16.
Sukanesh, R., et al.. (2007). Analysis of Image Compression by Minimum Relative Entropy (MRE) and Restoration through Weighted Region Growing Techniques for Medical Images. Engineering letters. 14. 84–89. 7 indexed citations
17.
Sukanesh, R., et al.. (2007). A Novel Feature Extraction Technique for Face Recognition. 1. 428–435. 10 indexed citations
18.
Sukanesh, R. & Harikumar Rajaguru. (2006). A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Signals. Engineering letters. 13. 50–56. 2 indexed citations
19.
Rajaguru, Harikumar, S. Raghavan, & R. Sukanesh. (2005). Genetic Algorithm for Classification of Epilepsy Risk Levels from EEG Signals. 1–6. 2 indexed citations
20.
Sukanesh, R., et al.. (2005). Fuzzy techniques and fuzzy aggregation operators for classification of epilepsy risk level using EEG signal parameters. 66. 1 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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