Santanu Kumar Sahoo

928 total citations
29 papers, 612 citations indexed

About

Santanu Kumar Sahoo is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Santanu Kumar Sahoo has authored 29 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 12 papers in Cardiology and Cardiovascular Medicine and 8 papers in Biomedical Engineering. Recurrent topics in Santanu Kumar Sahoo's work include EEG and Brain-Computer Interfaces (14 papers), ECG Monitoring and Analysis (12 papers) and Machine Learning in Bioinformatics (5 papers). Santanu Kumar Sahoo is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), ECG Monitoring and Analysis (12 papers) and Machine Learning in Bioinformatics (5 papers). Santanu Kumar Sahoo collaborates with scholars based in India, United States and Italy. Santanu Kumar Sahoo's co-authors include Sukanta Sabut, Santosh Kumar Behera, Monalisa Mohanty, Asit Kumar Subudhi, Pradyut Kumar Biswal, Debasish Swapnesh Kumar Nayak, Tripti Swarnkar, Mihir Narayan Mohanty, Bhabani Shankar Prasad Mishra and Amrutanshu Panigrahi and has published in prestigious journals such as Measurement, Biomedical Signal Processing and Control and Computational Biology and Chemistry.

In The Last Decade

Santanu Kumar Sahoo

22 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Santanu Kumar Sahoo India 11 466 350 214 94 50 29 612
Qihang Yao China 5 546 1.2× 392 1.1× 158 0.7× 123 1.3× 50 1.0× 7 646
Sandeep Raj India 12 500 1.1× 385 1.1× 239 1.1× 111 1.2× 44 0.9× 19 652
Weiyi Yang China 13 335 0.7× 242 0.7× 128 0.6× 62 0.7× 49 1.0× 34 514
Caiyun Ma China 8 548 1.2× 341 1.0× 123 0.6× 121 1.3× 73 1.5× 22 637
Jun Dong China 13 508 1.1× 379 1.1× 222 1.0× 123 1.3× 60 1.2× 31 687
Chua K. Chua Singapore 5 443 1.0× 256 0.7× 152 0.7× 100 1.1× 53 1.1× 5 532
Runnan He China 10 327 0.7× 230 0.7× 93 0.4× 78 0.8× 38 0.8× 28 420
Yongfeng Yuan China 12 386 0.8× 230 0.7× 118 0.6× 69 0.7× 48 1.0× 48 578
Zhiqiang He China 4 398 0.9× 279 0.8× 84 0.4× 108 1.1× 69 1.4× 4 454
N. S. Lingayat India 13 397 0.9× 277 0.8× 248 1.2× 45 0.5× 39 0.8× 24 493

Countries citing papers authored by Santanu Kumar Sahoo

Since Specialization
Citations

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

Fields of papers citing papers by Santanu Kumar Sahoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santanu Kumar Sahoo

This figure shows the co-authorship network connecting the top 25 collaborators of Santanu Kumar Sahoo. A scholar is included among the top collaborators of Santanu Kumar Sahoo 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 Santanu Kumar Sahoo. Santanu Kumar Sahoo 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.
Nayak, Debasish Swapnesh Kumar, et al.. (2025). ARGai 2.0: A Feature Engineering Enabled Deep Network Model for Antibiotic Resistance Gene and Strain Identification in E. coli. International Journal of Online and Biomedical Engineering (iJOE). 21(1). 76–96.
2.
Nayak, Debasish Swapnesh Kumar, et al.. (2025). ARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer. Computational Biology and Chemistry. 115. 108342–108342.
3.
4.
Nayak, Debasish Swapnesh Kumar, et al.. (2025). Attention enhanced hybrid deep learning model with 1D-CNN and BiLSTM for automated sleep apnea detection. Discover Applied Sciences. 7(12).
5.
Shaw, A. W., et al.. (2025). The role of generative AI in medical image synthesis: A review. Discover Applied Sciences. 7(10). 1 indexed citations
6.
Nayak, Debasish Swapnesh Kumar, Santanu Kumar Sahoo, Mostafa M. Fouda, et al.. (2024). aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli. Frontiers in Bioscience-Landmark. 29(2). 82–82. 10 indexed citations
7.
Palo, Hemanta Kumar, et al.. (2023). MACHINE LEARNING APPROACH TO DETECT ECG ABNORMALITIES USING COST-SENSITIVE DECISION TREE CLASSIFIER. Biomedical Engineering Applications Basis and Communications. 35(5).
8.
Sahoo, Santanu Kumar, et al.. (2022). Automatic Analysis of Sleep Apnea using DNN andHRV features. 217–221. 1 indexed citations
9.
Sahoo, Santanu Kumar, et al.. (2022). Deep learning-based system to predict cardiac arrhythmia using hybrid features of transform techniques. Intelligent Systems with Applications. 16. 200127–200127. 12 indexed citations
10.
Sahoo, Santanu Kumar, Monalisa Mohanty, & Sukanta Sabut. (2020). Automated ECG beat classification using DWT and Hilbert transform-based PCA-SVM classifier. International Journal of Biomedical Engineering and Technology. 32(3). 287–287. 8 indexed citations
11.
Sahoo, Santanu Kumar, et al.. (2020). Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals: A Survey. IRBM. 41(4). 185–194. 119 indexed citations
12.
Sahoo, Lakshman, Santanu Kumar Sahoo, Sangita Dixit, et al.. (2019). Molecular characterization, computational analysis and expression profiling ofDmrt1gene in Indian major carp,Labeo rohita(Hamilton 1822). Animal Biotechnology. 32(4). 413–426. 10 indexed citations
13.
Mohanty, Monalisa, Santanu Kumar Sahoo, Pradyut Kumar Biswal, & Sukanta Sabut. (2018). Efficient classification of ventricular arrhythmias using feature selection and C4.5 classifier. Biomedical Signal Processing and Control. 44. 200–208. 48 indexed citations
14.
Sahoo, Santanu Kumar, et al.. (2018). Classification of heart rhythm disorders using instructive features and artificial neural networks. International Journal of Medical Engineering and Informatics. 10(4). 359–359. 3 indexed citations
15.
Subudhi, Asit Kumar, Santanu Kumar Sahoo, Pradyut Kumar Biswal, & Sukanta Sabut. (2018). SEGMENTATION AND CLASSIFICATION OF ISCHEMIC STROKE USING OPTIMIZED FEATURES IN BRAIN MRI. Biomedical Engineering Applications Basis and Communications. 30(3). 1850011–1850011. 17 indexed citations
16.
Sabut, Sukanta, et al.. (2018). Classification of heart rhythm disorders using instructive features and artificial neural networks. International Journal of Medical Engineering and Informatics. 10(4). 359–359. 1 indexed citations
17.
Sahoo, Santanu Kumar, et al.. (2017). Multiresolution wavelet transform based feature extraction and ECG classification to detect cardiac abnormalities. Measurement. 108. 55–66. 194 indexed citations
18.
Sahoo, Santanu Kumar, et al.. (2016). De-noising of ECG Signal and QRS Detection Using Hilbert Transform and Adaptive Thresholding. Procedia Technology. 25. 68–75. 78 indexed citations
19.
Sahoo, Santanu Kumar, et al.. (2015). Feature extraction of ECG signal based on wavelet transform for arrhythmia detection. 66. 1–5. 6 indexed citations
20.
Sahoo, Santanu Kumar, et al.. (2014). Design of adaptive channel equalizer using filterbank FIR sign-regressor FLANN. 4. 1–6. 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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