Sidharth Pancholi

673 total citations
22 papers, 385 citations indexed

About

Sidharth Pancholi is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sidharth Pancholi has authored 22 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 13 papers in Cognitive Neuroscience and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sidharth Pancholi's work include Muscle activation and electromyography studies (16 papers), EEG and Brain-Computer Interfaces (13 papers) and Neuroscience and Neural Engineering (10 papers). Sidharth Pancholi is often cited by papers focused on Muscle activation and electromyography studies (16 papers), EEG and Brain-Computer Interfaces (13 papers) and Neuroscience and Neural Engineering (10 papers). Sidharth Pancholi collaborates with scholars based in India, United States and Switzerland. Sidharth Pancholi's co-authors include Amit M. Joshi, Sitikantha Roy, Ravinder Agarwal, Lalan Kumar, Prateek Jain, Amita Giri, Arathy Varghese, Bradley S. Duerstock, Juan Wachs and Deepak Joshi and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and IEEE Transactions on Cybernetics.

In The Last Decade

Sidharth Pancholi

19 papers receiving 378 citations

Peers

Sidharth Pancholi

CMN

CCM

Haoshi Zhang China

Mahdi Khezri Iran

Mojisola Grace Asogbon China

Suguru Kanoga Japan

Roberto A. Gómez‐Loenzo Mexico

Tie Liang China

Karan Veer India

Hammad Nazeer Pakistan

Changmok Choi South Korea

Maged S. Al-Quraishi Malaysia

Haoshi Zhang China

Sidharth Pancholi

290 ×1.1

221 ×1.1

109 ×1.1

CMN

61 ×0.7

35 ×1.1

CCM

Citations per year, relative to Sidharth Pancholi Sidharth Pancholi (= 1×) peers Haoshi Zhang

Countries citing papers authored by Sidharth Pancholi

Since Specialization

Citations

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

Fields of papers citing papers by Sidharth Pancholi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sidharth Pancholi

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

All Works

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20 of 20 papers shown

Pancholi, Sidharth, Thomas H. Everett, & Bradley S. Duerstock. (2024). Advancing spinal cord injury care through non-invasive autonomic dysreflexia detection with AI. Scientific Reports. 14(1). 3439–3439.

Pancholi, Sidharth, et al.. (2024). Explainable AI-Guided Optimization of EMG Channels and Features for Precise Hand Gesture Classification: A SHAP-Based Study. IEEE Transactions on Medical Robotics and Bionics. 7(1). 368–376.

Pancholi, Sidharth, et al.. (2024). Enhanced EMG-Based Hand Gesture Classification in Real-World Scenarios: Mitigating Dynamic Factors With Tempo-Spatial Wavelet Transform and Deep Learning. IEEE Transactions on Medical Robotics and Bionics. 6(3). 1202–1211. 3 indexed citations

Pancholi, Sidharth, et al.. (2023). Acclimation Protocol to Minimize Stress in Immobilized Rats During Non-Invasive Multimodal Sensing of the Autonomic Nervous System. Military Medicine. 188(Supplement_6). 474–479. 2 indexed citations

Pancholi, Sidharth, et al.. (2023). Time and frequency domain analysis of physiological features during autonomic dysreflexia after spinal cord injury. Frontiers in Neuroscience. 17. 1210815–1210815. 1 indexed citations

Pancholi, Sidharth, Juan Wachs, & Bradley S. Duerstock. (2023). Use of Artificial Intelligence Techniques to Assist Individuals with Physical Disabilities. Annual Review of Biomedical Engineering. 26(1). 1–24. 15 indexed citations

Varghese, Arathy, et al.. (2023). Optimizing Bio-Sensor Design With Support Vector Regression Technique for AlGaN/GaN MOS–HEMT. IEEE Sensors Letters. 7(9). 1–4. 9 indexed citations

Sharma, Ashish, et al.. (2022). Heart rate and blood pressure measurement based on photoplethysmogram signal using fast Fourier transform. Computers & Electrical Engineering. 101. 108057–108057. 20 indexed citations

Pancholi, Sidharth, et al.. (2022). Source Aware Deep Learning Framework for Hand Kinematic Reconstruction Using EEG Signal. IEEE Transactions on Cybernetics. 53(7). 4094–4106. 39 indexed citations

10.

Pancholi, Sidharth & Amit M. Joshi. (2021). INTELLIGENT UPPER-LIMB PROSTHETIC CONTROL (iULP) WITH NOVEL FEATURE EXTRACTION METHOD FOR PATTERN RECOGNITION USING EMG. Journal of Mechanics in Medicine and Biology. 21(6). 2150043–2150043. 12 indexed citations

11.

Pancholi, Sidharth & Amit M. Joshi. (2020). A Fast and Accurate Deep learning framework for EMG-PR based Upper-limb Prosthesis Control. 206–207. 2 indexed citations

12.

Pancholi, Sidharth & Amit M. Joshi. (2020). Advanced Energy Kernel-Based Feature Extraction Scheme for Improved EMG-PR-Based Prosthesis Control Against Force Variation. IEEE Transactions on Cybernetics. 52(5). 3819–3828. 26 indexed citations

13.

Pancholi, Sidharth, Prateek Jain, Arathy Varghese, & Amit M. Joshi. (2019). A Novel Time-Domain based Feature for EMG-PR Prosthetic and Rehabilitation Application. PubMed. 2019. 5084–5087. 19 indexed citations

14.

Pancholi, Sidharth & Amit M. Joshi. (2019). Electromyography-Based Hand Gesture Recognition System for Upper Limb Amputees. IEEE Sensors Letters. 3(3). 1–4. 58 indexed citations

15.

Jain, Prateek, Sidharth Pancholi, & Amit M. Joshi. (2019). An IoMT Based Non-Invasive Precise Blood Glucose Measurement System. 111–116. 9 indexed citations

16.

Pancholi, Sidharth & Amit M. Joshi. (2019). Time Derivative Moments Based Feature Extraction Approach for Recognition of Upper Limb Motions Using EMG. IEEE Sensors Letters. 3(4). 1–4. 27 indexed citations

17.

Pancholi, Sidharth & Amit M. Joshi. (2019). Improved Classification Scheme Using Fused Wavelet Packet Transform Based Features for Intelligent Myoelectric Prostheses. IEEE Transactions on Industrial Electronics. 67(10). 8517–8525. 36 indexed citations

18.

Pancholi, Sidharth & Amit M. Joshi. (2018). Portable EMG Data Acquisition Module for Upper Limb Prosthesis Application. IEEE Sensors Journal. 18(8). 3436–3443. 73 indexed citations

19.

Sood, G., Sidharth Pancholi, & Amit M. Joshi. (2017). A Robust Speaker Identification System for Natural and Whispered Speech. 1. 1–6.

20.

Pancholi, Sidharth & Ravinder Agarwal. (2016). Development of low cost EMG data acquisition system for arm activities recognition. 2465–2469. 16 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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