Ravi Vaidyanathan

8.6k total citations · 2 hit papers
205 papers, 6.2k citations indexed

About

Ravi Vaidyanathan is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Aerospace Engineering. According to data from OpenAlex, Ravi Vaidyanathan has authored 205 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Biomedical Engineering, 46 papers in Cognitive Neuroscience and 33 papers in Aerospace Engineering. Recurrent topics in Ravi Vaidyanathan's work include Muscle activation and electromyography studies (41 papers), EEG and Brain-Computer Interfaces (33 papers) and Robotic Locomotion and Control (27 papers). Ravi Vaidyanathan is often cited by papers focused on Muscle activation and electromyography studies (41 papers), EEG and Brain-Computer Interfaces (33 papers) and Robotic Locomotion and Control (27 papers). Ravi Vaidyanathan collaborates with scholars based in United Kingdom, United States and Bangladesh. Ravi Vaidyanathan's co-authors include Sebastian Madgwick, Andrew Harrison, Stuart C Burgess, José Jalife, Roger D. Quinn, Omer Berenfeld, Samuel Wilson, Robert Ploutz‐Snyder, Jérôme Kalifa and Alexander S. Boxerbaum and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Ravi Vaidyanathan

191 papers receiving 6.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Estimation of IMU and MARG orientation using a gradient descent algorithm

2011 1.6k citations Ravi Vaidyanathan et al. PubMed profile →
Spectral Analysis Identifies Sites of High-Frequency Activity Maintaining Atrial Fibrillation in Humans

2005 617 citations Omer Berenfeld, Ravi Vaidyanathan et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ravi Vaidyanathan United Kingdom	36	1.7k	1.6k	1.4k	799	596	205	6.2k
Octavian Postolache Portugal	35	1.4k 0.8×	540 0.3×	212 0.1×	862 1.1×	419 0.7×	369	5.3k
Wan‐Young Chung South Korea	40	2.2k 1.2×	966 0.6×	209 0.1×	1.8k 2.3×	739 1.2×	291	5.6k
Xun Chen China	54	3.3k 1.9×	1.6k 1.0×	1.0k 0.7×	884 1.1×	3.9k 6.5×	497	14.0k
Chang Li China	35	1.1k 0.7×	572 0.4×	1.2k 0.8×	274 0.3×	1.6k 2.8×	153	6.8k
Weihai Chen China	38	2.0k 1.1×	258 0.2×	556 0.4×	871 1.1×	507 0.9×	434	7.1k
Z. Jane Wang Canada	42	1.3k 0.8×	577 0.4×	649 0.5×	647 0.8×	1.7k 2.8×	255	7.7k
Mehmet Rasit Yuce Australia	40	4.0k 2.3×	461 0.3×	492 0.3×	2.8k 3.5×	764 1.3×	240	6.2k
A. Lay-Ekuakille Italy	31	785 0.4×	229 0.1×	255 0.2×	760 1.0×	374 0.6×	261	3.6k
Xu Zhang China	43	3.4k 1.9×	526 0.3×	147 0.1×	1.3k 1.6×	2.2k 3.7×	328	7.1k
Zhiqiang Zhang China	35	1.3k 0.8×	117 0.1×	541 0.4×	767 1.0×	553 0.9×	242	3.9k

Countries citing papers authored by Ravi Vaidyanathan

Since Specialization

Citations

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

Fields of papers citing papers by Ravi Vaidyanathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Vaidyanathan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Jialing, Kai Zhang, Shaohua Li, et al.. (2025). Deep learning-enabled accurate assessment of gait impairments in Parkinson’s disease using smartphone videos. npj Digital Medicine. 9(1). 98–98.

Liu, Zehao, et al.. (2025). Continuous Estimation of FES-Induced Neuromuscular Fatigue Using Mechanomyography Signals. IEEE Journal of Biomedical and Health Informatics. 29(11). 7969–7982.

Geranmayeh, Fatemeh, et al.. (2025). Evaluating spoken language as a biomarker for automated screening of cognitive impairment. Communications Medicine. 6(1). 6–6.

Ghosh, Abhishek Kumar, et al.. (2024). Comparative Performance Evaluation of Fetal Movement-Detecting Wearable Sensors Using a Body-Worn Device. IEEE Sensors Journal. 24(17). 28018–28027. 3 indexed citations

Kouchaki, Samaneh, Michael A. Crone, Kirsten Jensen, et al.. (2024). Digital remote monitoring for screening and early detection of urinary tract infections. npj Digital Medicine. 7(1). 11–11. 11 indexed citations

Patel, Shyamal, et al.. (2024). Is it possible to monitor fetal movements with a wearable device? A review of novel technologies. European Journal of Obstetrics & Gynecology and Reproductive Biology. 305. 329–338.

Guez, A., et al.. (2024). Transparency Control of a 1-DoF Knee Exoskeleton via Human-in-the-Loop Velocity Optimisation. 7902–7908.

Mashrur, Fazla Rabbi, et al.. (2023). Intelligent neuromarketing framework for consumers' preference prediction from electroencephalography signals and eye tracking. Journal of Consumer Behaviour. 23(3). 1146–1157. 12 indexed citations

He, Shenghong, et al.. (2023). Hyper-parameter tuning and feature extraction for asynchronous action detection from sub-thalamic nucleus local field potentials. Frontiers in Human Neuroscience. 17. 1111590–1111590. 1 indexed citations

10.

Gupta, Lalit, et al.. (2021). Fusion Models for Generalized Classification of Multi-Axial Human Movement: Validation in Sport Performance. Sensors. 21(24). 8409–8409. 11 indexed citations

11.

Huo, Weiguang, Vincent Bonnet, Jian Huang, et al.. (2021). Impedance Modulation Control of a Lower-Limb Exoskeleton to Assist Sit-to-Stand Movements. IEEE Transactions on Robotics. 38(2). 1230–1249. 38 indexed citations

12.

Huo, Weiguang, et al.. (2021). Quantification of Motor Function Post-Stroke Using Novel Combination of Wearable Inertial and Mechanomyographic Sensors. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 1158–1167. 25 indexed citations

13.

Ulbricht, Christian, et al.. (2020). Surgical Robot Platform with a Novel Concentric Joint for Minimally Invasive Procedures. UEL Research Repository (University of East London). 5(03n04). 2050001–2050001. 1 indexed citations

14.

Vaidyanathan, Ravi, et al.. (2020). Examination of the Performance Characteristics of Velostat as an In-Socket Pressure Sensor. IEEE Sensors Journal. 20(13). 6992–7000. 52 indexed citations

15.

Woodward, Richard B., María Stokes, Sandra J. Shefelbine, & Ravi Vaidyanathan. (2019). Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data. Scientific Reports. 9(1). 5569–5569. 38 indexed citations

16.

Vaidyanathan, Ravi, et al.. (2017). Studying the implementation of iterative impedance control for assistive hand rehabilitation using an exoskeleton. PubMed. 2017. 1500–1505. 1 indexed citations

17.

Lai, Jonathan, Niamh C. Nowlan, Ravi Vaidyanathan, Caroline J. Shaw, & C. Lees. (2016). Fetal movements as a predictor of health. Acta Obstetricia Et Gynecologica Scandinavica. 95(9). 968–975. 44 indexed citations

18.

Milstein, Michelle L., Hassan Musa, Justus Anumonwo, et al.. (2012). Dynamic reciprocity of sodium and potassium channel expression in a macromolecular complex controls cardiac excitability and arrhythmia. Proceedings of the National Academy of Sciences. 109(31). E2134–43. 133 indexed citations

19.

Tanaka, Kazuhiko, Viviana Zlochiver, Karen L. Vikstrom, et al.. (2007). Spatial Distribution of Fibrosis Governs Fibrillation Wave Dynamics in the Posterior Left Atrium During Heart Failure. Circulation Research. 101(8). 839–847. 231 indexed citations

20.

Atienza, Felipe, Jesús Almendral, Javier Moreno, et al.. (2006). Activation of Inward Rectifier Potassium Channels Accelerates Atrial Fibrillation in Humans. Circulation. 114(23). 2434–2442. 200 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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