Sunil Kumar Prabhakar

1.5k citations

123 papers · 1.1k · h-index 16

Impact in

Signal Processing top 2%
- Blind Source Separation Techniques
Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies

Papers in

Signal Processing 66
- Blind Source Separation Techniques 60
Cognitive Neuroscience 85
- EEG and Brain-Computer Interfaces 84

Co-authors: Harikumar Rajaguru (100 shared papers)Seong–Whan Lee (10 shared papers)Dong-Ok Won (23 shared papers)Sun‐Hee Kim (3 shared papers)Jae Jun Lee (2 shared papers)Semin Ryu (2 shared papers)Deepa Kumari (1 shared paper)In Cheol Jeong (2 shared papers)
Journals: IEEE Access (4 papers)Expert Systems with Applications (3 papers)BioMed Research International (2 papers)Computational Intelligence and Neuroscience (2 papers)Heliyon (2 papers)
Partner nations: South Korea United States Nigeria

In The Last Decade

Sunil Kumar Prabhakar

105 papers receiving 753 citations

Peers

Replace Keivan Maghooli with:

Keivan Maghooli Iran

Baha Şen Türkiye

Zümray Dokur Türkiye

Palani Thanaraj Krishnan India

Yakup Kutlu Türkiye

Mohammad-Parsa Hosseini United States

Mahmut Hekim Türkiye

Sugondo Hadiyoso Indonesia

Jinpeng Li China

Parisa Moridian Iran

Sunil Kumar Prabhakar relative to Keivan Maghooli Iran Keivan Maghooli's profile →

Citations per field

00.5×2×4×6×7.7×

Keivan Maghooli · 1×

×2.9 375/131

SP

×1.1 579/535

CN

×1.9 394/203

AI

×0.7 41/59

HIM

×1.1 178/161

CCM

Citations per year

'16

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Countries citing papers authored by Sunil Kumar Prabhakar

Since Specialization

Citations

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

Fields of papers citing papers by Sunil Kumar Prabhakar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Sunil Kumar Prabhakar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sunil Kumar Prabhakar Line = papers co-authored together Sunil Kumar Prabhakar links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A Framework for Schizophrenia EEG Signal Classification With Nature Inspired Optimization Algorithms IEEE Access ·Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong–Whan Lee	2020	72
2	Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques Expert Systems with Applications ·Sunil Kumar Prabhakar, Seong–Whan Lee	2022	52
3	Medical Text Classification Using Hybrid Deep Learning Models with Multihead Attention Computational Intelligence and Neuroscience ·Sunil Kumar Prabhakar, Dong-Ok Won	2021	44
4	Schizophrenia EEG Signal Classification Based on Swarm Intelligence Computing Computational Intelligence and Neuroscience ·Sunil Kumar Prabhakar, Harikumar Rajaguru, Sun‐Hee Kim	2020	38
5	Transformation Based Tri-Level Feature Selection Approach Using Wavelets and Swarm Computing for Prostate Cancer Classification IEEE Access ·Sunil Kumar Prabhakar, Seong–Whan Lee	2020	30
6	Metaheuristic-Based Dimensionality Reduction and Classification Analysis of PPG Signals for Interpreting Cardiovascular Disease IEEE Access ·Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong–Whan Lee	2019	28
7	An Integrated Approach for Ovarian Cancer Classification With the Application of Stochastic Optimization IEEE Access ·Sunil Kumar Prabhakar, Seong–Whan Lee	2020	24
8	Development of Patient Remote Monitoring System for Epilepsy Classification World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany ·Sunil Kumar Prabhakar, Harikumar Rajaguru	2017	22
9	Logistic regression Gaussian mixture model and softmax discriminant classifier for epilepsy classification from EEG signals Harikumar Rajaguru, Sunil Kumar Prabhakar	2017	21
10	Alcoholic EEG signal classification with Correlation Dimension based distance metrics approach and Modified Adaboost classification Heliyon ·Sunil Kumar Prabhakar, Harikumar Rajaguru	2020	21
11	Bayesian linear discriminant analysis for breast cancer classification Harikumar Rajaguru, Sunil Kumar Prabhakar	2017	20
12	SASDL and RBATQ: Sparse Autoencoder With Swarm Based Deep Learning and Reinforcement Based Q-Learning for EEG Classification IEEE Open Journal of Engineering in Medicine and Biology ·Sunil Kumar Prabhakar, Seong–Whan Lee	2022	20
13	Performance analysis of linear layer neural networks for oral cancer classification Sunil Kumar Prabhakar, Harikumar Rajaguru	2017	19
14	Adaboost Classifier with Dimensionality Reduction Techniques for Epilepsy Classification from EEG World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany ·Sunil Kumar Prabhakar, Harikumar Rajaguru	2017	19
15	Improved Sparse Representation based Robust Hybrid Feature Extraction Models with Transfer and Deep Learning for EEG Classification Expert Systems with Applications ·Sunil Kumar Prabhakar, Seong–Whan Lee	2022	18
16	Performance Comparison of Oral Cancer Classification with Gaussian Mixture Measures and Multi Layer Perceptron World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany ·Harikumar Rajaguru, Sunil Kumar Prabhakar	2017	17
17	Sparse PCA and soft decision tree classifiers for epilepsy classification from EEG signals 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) ·Harikumar Rajaguru, Sunil Kumar Prabhakar	2017	16
18	Code Converters with City Block Distance Measures for Classifying Epilepsy from EEG Signals Procedia Computer Science ·Sunil Kumar Prabhakar, Harikumar Rajaguru	2016	16
19	Application of linear graph embedding as a dimensionality reduction technique and sparse representation classifier as a post classifier for the classification of epilepsy risk levels from EEG signals Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Sunil Kumar Prabhakar, Harikumar Rajaguru	2015	15
20	Factor analysis, Hessian Local Linear Embedding and Isomap for epilepsy classification from EEG Sunil Kumar Prabhakar, Harikumar Rajaguru	2016	15

About Sunil Kumar Prabhakar

Sunil Kumar Prabhakar is a scholar working on Signal Processing, Cognitive Neuroscience, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Analytical Chemistry, having authored 123 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (84 papers), Blind Source Separation Techniques (60 papers), Neural Networks and Applications (30 papers), ECG Monitoring and Analysis (12 papers), AI in cancer detection (12 papers), Fractal and DNA sequence analysis (11 papers), Gene expression and cancer classification (10 papers) and Machine Learning in Bioinformatics (9 papers). The work is most often cited by research in Signal Processing (375 citations), Cognitive Neuroscience (579 citations), Artificial Intelligence (394 citations), Health Information Management (41 citations) and Cardiology and Cardiovascular Medicine (178 citations). Sunil Kumar Prabhakar has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Harikumar Rajaguru, Seong–Whan Lee, Dong-Ok Won, Sun‐Hee Kim, Jae Jun Lee, Semin Ryu, Deepa Kumari, In Cheol Jeong, Chulho Kim and Jong‐Hee Sohn. Their work appears in journals such as IEEE Access, Expert Systems with Applications, BioMed Research International, Computational Intelligence and Neuroscience and Heliyon.

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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Sunil Kumar Prabhakar

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About Sunil Kumar Prabhakar

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