Harikumar Rajaguru

3.0k total citations
244 papers, 1.8k citations indexed

About

Harikumar Rajaguru is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Harikumar Rajaguru has authored 244 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Artificial Intelligence, 101 papers in Cognitive Neuroscience and 59 papers in Signal Processing. Recurrent topics in Harikumar Rajaguru's work include EEG and Brain-Computer Interfaces (101 papers), Blind Source Separation Techniques (56 papers) and AI in cancer detection (50 papers). Harikumar Rajaguru is often cited by papers focused on EEG and Brain-Computer Interfaces (101 papers), Blind Source Separation Techniques (56 papers) and AI in cancer detection (50 papers). Harikumar Rajaguru collaborates with scholars based in India, South Korea and Bulgaria. Harikumar Rajaguru's co-authors include Sunil Kumar Prabhakar, S. R. Sannasi Chakravarthy, N. Bharanidharan, Seong‐Whan Lee, R. Sukanesh, S. Raghavan, Sun‐Hee Kim, C. Ganesh Babu, T. Vijayakumar and Dong-Ok Won and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Harikumar Rajaguru

203 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harikumar Rajaguru India 20 815 550 314 308 261 244 1.8k
Lal Hussain Pakistan 24 647 0.8× 215 0.4× 430 1.4× 119 0.4× 340 1.3× 88 1.6k
Javad Haddadnia Iran 21 308 0.4× 263 0.5× 219 0.7× 191 0.6× 601 2.3× 126 1.4k
Abdelmgeid A. Ali Egypt 18 645 0.8× 168 0.3× 286 0.9× 125 0.4× 385 1.5× 33 1.5k
Siti Nurmaini Indonesia 21 523 0.6× 294 0.5× 123 0.4× 201 0.7× 261 1.0× 190 1.7k
Chua Kuang Chua Singapore 28 405 0.5× 726 1.3× 1.4k 4.3× 306 1.0× 786 3.0× 36 2.7k
Modjtaba Rouhani Iran 17 414 0.5× 379 0.7× 110 0.4× 148 0.5× 354 1.4× 59 1.3k
Shuihua Wang United Kingdom 20 502 0.6× 281 0.5× 385 1.2× 69 0.2× 417 1.6× 66 1.4k
Tamer Ölmez Türkiye 18 376 0.5× 315 0.6× 98 0.3× 216 0.7× 279 1.1× 64 1.4k
M. L. Dewal India 16 156 0.2× 482 0.9× 90 0.3× 345 1.1× 361 1.4× 67 1.1k
Padmavathi Kora India 17 361 0.4× 229 0.4× 170 0.5× 65 0.2× 306 1.2× 68 1.4k

Countries citing papers authored by Harikumar Rajaguru

Since Specialization
Citations

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

Fields of papers citing papers by Harikumar Rajaguru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harikumar Rajaguru

This figure shows the co-authorship network connecting the top 25 collaborators of Harikumar Rajaguru. A scholar is included among the top collaborators of Harikumar Rajaguru 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 Harikumar Rajaguru. Harikumar Rajaguru 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.
Rajaguru, Harikumar, et al.. (2024). Wavelet feature extraction and bio-inspired feature selection for the prognosis of lung cancer − A statistical framework analysis. Measurement. 238. 115330–115330. 1 indexed citations
4.
5.
Prabhakar, Sunil Kumar, Harikumar Rajaguru, & Dong-Ok Won. (2024). Coherent Feature Extraction with Swarm Intelligence Based Hybrid Adaboost Weighted ELM Classification for Snoring Sound Classification. Diagnostics. 14(17). 1857–1857.
7.
Chakravarthy, S. R. Sannasi, N. Bharanidharan, & Harikumar Rajaguru. (2023). Deep Learning-Based Metaheuristic Weighted K-Nearest Neighbor Algorithm for the Severity Classification of Breast Cancer. IRBM. 44(3). 100749–100749. 50 indexed citations
8.
Rajaguru, Harikumar, et al.. (2023). Leukemia cancer classification using extrusive genes from microarray data. AIP conference proceedings. 2725. 20005–20005. 1 indexed citations
9.
Rajaguru, Harikumar, et al.. (2022). Performance analysis of Incremental boosting based Transfer Learning in Deep CNN. 7. 1–6. 1 indexed citations
10.
Rajaguru, Harikumar, et al.. (2021). Detection Of Abnormal Liver In Ultrasonic Images From Fcm Features. 12(3). 1581–1588. 1 indexed citations
11.
Rajaguru, Harikumar, et al.. (2021). Analysis Of K Means Clustering And Classifiers In Diagnosing Abnormality Of The Ultrasonic Liver Images. 12(3). 1589–1595. 1 indexed citations
12.
Rajaguru, Harikumar & S. R. Sannasi Chakravarthy. (2021). Effectiveclassificationframework For Breast Tumorsusing Optimized Multi-Kernel Svm With Controlled Skewness. 12(3). 1604–1612. 1 indexed citations
13.
Chakravarthy, S. R. Sannasi & Harikumar Rajaguru. (2021). Effectivebreast Tumor Classificationusing KStrongest Strength With Local Outlier Factor Algorithm. 12(3). 1596–1603. 2 indexed citations
14.
Rajaguru, Harikumar, et al.. (2015). Fuzzy Mutual Information as a Dimensionality Reduction Technique for Epileptic Electroencephalography Signals. Research Journal of Applied Sciences Engineering and Technology. 10(9). 1035–1037. 3 indexed citations
15.
Rajaguru, Harikumar, et al.. (2014). A Hybrid Maximum Power Point Tracking (MPPT) with Interleaved Converter for Standalone Photo Voltaic (PV) Power Generation System. International Energy Journal. 14(3). 1 indexed citations
16.
Rajaguru, Harikumar, et al.. (2014). Design and Implementation of VLSI FuzzyClassifier for Biomedical Application. International Journal of Innovative Research in Science Engineering and Technology. 3(3). 1 indexed citations
17.
Rajaguru, Harikumar, et al.. (2010). Analysis of chaos in EEG signals for estimation of drowsiness and classification of epilepsy risk levels. 147–156. 1 indexed citations
18.
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
19.
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
20.
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

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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