Preeti Raghavan

2.8k total citations
92 papers, 1.6k citations indexed

About

Preeti Raghavan is a scholar working on Rehabilitation, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Preeti Raghavan has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Rehabilitation, 24 papers in Neurology and 24 papers in Psychiatry and Mental health. Recurrent topics in Preeti Raghavan's work include Stroke Rehabilitation and Recovery (53 papers), Botulinum Toxin and Related Neurological Disorders (22 papers) and Cerebral Palsy and Movement Disorders (21 papers). Preeti Raghavan is often cited by papers focused on Stroke Rehabilitation and Recovery (53 papers), Botulinum Toxin and Related Neurological Disorders (22 papers) and Cerebral Palsy and Movement Disorders (21 papers). Preeti Raghavan collaborates with scholars based in United States, Italy and Spain. Preeti Raghavan's co-authors include Antonio Stecco, Maurizio Porfiri, Andrew M. Gordon, John W. Krakauer, Jeffrey Laut, Marco Santello, M A Chamberlain, Carla Stecco, Vikram Kapila and Mooyeon Oh‐Park and has published in prestigious journals such as Nature Communications, Brain and Neurology.

In The Last Decade

Preeti Raghavan

82 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preeti Raghavan United States 20 870 409 396 356 340 92 1.6k
Corina Schuster‐Amft Switzerland 21 1.1k 1.2× 437 1.1× 309 0.8× 317 0.9× 651 1.9× 76 2.1k
Marco Traballesi Italy 23 569 0.7× 434 1.1× 142 0.4× 334 0.9× 299 0.9× 57 1.6k
Francisco Molina‐Rueda Spain 20 538 0.6× 485 1.2× 197 0.5× 402 1.1× 341 1.0× 99 1.5k
Thierry Ettlin Switzerland 22 555 0.6× 265 0.6× 378 1.0× 287 0.8× 453 1.3× 45 1.9k
Isabel María Alguacil Diego Spain 24 569 0.7× 416 1.0× 178 0.4× 485 1.4× 368 1.1× 76 1.8k
Roberto Cano‐de‐la‐Cuerda Spain 28 949 1.1× 414 1.0× 712 1.8× 744 2.1× 278 0.8× 133 2.5k
Kathleen E. Norman Canada 22 657 0.8× 398 1.0× 584 1.5× 611 1.7× 346 1.0× 63 1.9k
Carmen Krewer Germany 21 735 0.8× 389 1.0× 305 0.8× 349 1.0× 204 0.6× 53 1.4k
Hwi-young Cho South Korea 22 520 0.6× 255 0.6× 208 0.5× 322 0.9× 167 0.5× 108 1.6k
Alison McKenzie United States 26 887 1.0× 334 0.8× 535 1.4× 246 0.7× 478 1.4× 49 2.1k

Countries citing papers authored by Preeti Raghavan

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Raghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeti Raghavan

This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Raghavan. A scholar is included among the top collaborators of Preeti Raghavan 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 Preeti Raghavan. Preeti Raghavan 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.
Etemadimanesh, Azin, et al.. (2025). Ultrasound Displacement Tracking Techniques for Post-Stroke Myofascial Shear Strain Quantification. IEEE Transactions on Biomedical Engineering. 73(1). 345–358.
2.
Raghavan, Preeti. (2025). Muscle physiology in spasticity and muscle stiffness. Toxicon. 259. 108350–108350.
3.
Knutson, Jayme S., Mary Y. Harley, David A. Cunningham, et al.. (2025). Contralaterally Controlled Functional Electrical Stimulation for Upper Extremity Recovery Following Stroke: A Multisite Randomized Controlled Trial. Stroke. 57(2). 338–348.
4.
Formeister, Eric J., et al.. (2024). Impact of Ergonomics on Muscle Fatigue During Surgical Drilling Using Surface Electromyography. Otolaryngology. 171(1). 205–211. 1 indexed citations
5.
Etemadimanesh, Azin, et al.. (2024). Deep Learning-Based Displacement Tracking for Post-Stroke Myofascial Shear Strain Quantification. 1–4. 4 indexed citations
6.
Bell, Muyinatu A. Lediju, et al.. (2024). Measuring myofascial shear strain in chronic shoulder pain with ultrasound shear strain imaging: a case report. BMC Musculoskeletal Disorders. 25(1). 412–412. 3 indexed citations
7.
Raghavan, Preeti, et al.. (2024). Role of joint interactions in upper limb joint movements: a disability simulation study using wearable inertial sensors for 3D motion capture. Journal of NeuroEngineering and Rehabilitation. 21(1). 197–197.
8.
Kim, Gina, et al.. (2023). Addressing the Operational Challenges for Outpatient Stroke Rehabilitation. American Journal of Physical Medicine & Rehabilitation. 102(2S). S61–S67. 2 indexed citations
9.
10.
Bilaloglu, Seda, et al.. (2022). Nonlinear functional muscle network based on information theory tracks sensorimotor integration post stroke. Scientific Reports. 12(1). 13029–13029. 8 indexed citations
11.
Nov, Oded, et al.. (2021). Data-Driven Classification of Human Movements in Virtual Reality–Based Serious Games: Preclinical Rehabilitation Study in Citizen Science. JMIR Serious Games. 10(1). e27597–e27597. 8 indexed citations
12.
Raghavan, Preeti, et al.. (2021). Usability study of wearable inertial sensors for exergames (WISE) for movement assessment and exercise. mHealth. 7. 4–4. 11 indexed citations
13.
Raghavan, Preeti, et al.. (2019). Quantifying muscle glycosaminoglycan levels in patients with post-stroke muscle stiffness using T1ρ MRI. Scientific Reports. 9(1). 14513–14513. 17 indexed citations
14.
Raghavan, Preeti, et al.. (2019). Wearable Inertial Sensors for Range of Motion Assessment. IEEE Sensors Journal. 20(7). 3777–3787. 35 indexed citations
15.
16.
Rizzo, John‐Ross, Maryam Hosseini, Eric A. Wong, et al.. (2017). The Intersection between Ocular and Manual Motor Control: Eye–Hand Coordination in Acquired Brain Injury. Frontiers in Neurology. 8. 227–227. 23 indexed citations
17.
Rizzo, John‐Ross, Maryam Hosseini, Azadeh Shafieesabet, et al.. (2017). Eye Control Deficits Coupled to Hand Control Deficits: Eye–Hand Incoordination in Chronic Cerebral Injury. Frontiers in Neurology. 8. 330–330. 13 indexed citations
18.
Raghavan, Preeti, et al.. (2016). Wearable Jacket for Game-Based Post-Stroke Arm Rehabilitation. 3(10). 1 indexed citations
19.
Gill, Simone V., et al.. (2015). The Importance of Interdisciplinary Research Training and Community Dissemination. Clinical and Translational Science. 8(5). 611–614. 17 indexed citations
20.
Raghavan, Preeti. (2015). Upper Limb Motor Impairment After Stroke. Physical Medicine and Rehabilitation Clinics of North America. 26(4). 599–610. 233 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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2026