Siddhartha Sikdar

3.9k total citations · 2 hit papers
122 papers, 2.6k citations indexed

About

Siddhartha Sikdar is a scholar working on Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Siddhartha Sikdar has authored 122 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Biomedical Engineering, 31 papers in Surgery and 25 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Siddhartha Sikdar's work include Muscle activation and electromyography studies (27 papers), Myofascial pain diagnosis and treatment (23 papers) and Cardiovascular Health and Disease Prevention (22 papers). Siddhartha Sikdar is often cited by papers focused on Muscle activation and electromyography studies (27 papers), Myofascial pain diagnosis and treatment (23 papers) and Cardiovascular Health and Disease Prevention (22 papers). Siddhartha Sikdar collaborates with scholars based in United States, India and Canada. Siddhartha Sikdar's co-authors include Lynn H. Gerber, Amir Khan, Tadesse Gebreab, Parag V. Chitnis, Steven Guan, Jay P. Shah, Jay Shah, Juliana Heimur, Jacqueline V. Aredo and Elizabeth A. Gilliams and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Siddhartha Sikdar

113 papers receiving 2.5k citations

Hit Papers

Fully Dense UNet for 2-D Sparse Photoacoustic Tomograph... 2015 2026 2018 2022 2019 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siddhartha Sikdar United States 25 1.0k 656 472 443 421 122 2.6k
Makoto Yoshizawa Japan 22 82 0.1× 694 1.1× 304 0.6× 410 0.9× 71 0.2× 239 1.9k
Min Fang China 23 103 0.1× 204 0.3× 55 0.1× 151 0.3× 364 0.9× 178 1.9k
Yanjun Zeng China 29 96 0.1× 703 1.1× 295 0.6× 787 1.8× 60 0.1× 234 3.1k
Helmar Bergmann Austria 36 32 0.0× 888 1.4× 840 1.8× 939 2.1× 64 0.2× 117 3.3k
Tomoyuki Yambe Japan 25 37 0.0× 1.1k 1.7× 164 0.3× 633 1.4× 55 0.1× 291 2.5k
Björn Falck Finland 22 158 0.2× 541 0.8× 167 0.4× 380 0.9× 401 1.0× 34 2.0k
Christer Grönlund Sweden 19 31 0.0× 417 0.6× 227 0.5× 136 0.3× 104 0.2× 65 1.1k
Kevin C. McGill United States 30 55 0.1× 1.4k 2.1× 86 0.2× 752 1.7× 91 0.2× 96 2.8k
Luca Mesin Italy 23 15 0.0× 1.4k 2.1× 71 0.2× 205 0.5× 106 0.3× 136 2.2k
Joel B. Myklebust United States 27 43 0.0× 559 0.9× 76 0.2× 1.0k 2.3× 560 1.3× 96 3.8k

Countries citing papers authored by Siddhartha Sikdar

Since Specialization
Citations

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

Fields of papers citing papers by Siddhartha Sikdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddhartha Sikdar

This figure shows the co-authorship network connecting the top 25 collaborators of Siddhartha Sikdar. A scholar is included among the top collaborators of Siddhartha Sikdar 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 Siddhartha Sikdar. Siddhartha Sikdar 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.
Jones, Margaret T., et al.. (2024). Distributed Wearable Ultrasound Sensors Predict Isometric Ground Reaction Force. Sensors. 24(15). 5023–5023. 1 indexed citations
2.
Otto, Paul, et al.. (2024). Wearable Ultrasound System Using Low-Voltage Time Delay Spectrometry for Dynamic Tissue Imaging. IEEE Transactions on Biomedical Engineering. 71(11). 3232–3243. 6 indexed citations
3.
Vijay, Priyanka, et al.. (2024). A Sonomyography-Based Muscle Computer Interface for Individuals With Spinal Cord Injury. IEEE Journal of Biomedical and Health Informatics. 28(5). 2713–2722. 3 indexed citations
4.
Joiner, Wilsaan M., et al.. (2023). Using principles of motor control to analyze performance of human machine interfaces. Scientific Reports. 13(1). 13273–13273. 2 indexed citations
5.
Sikdar, Siddhartha, John Srbely, Jay Shah, et al.. (2023). A model for personalized diagnostics for non-specific low back pain: the role of the myofascial unit. SHILAP Revista de lepidopterología. 4. 1237802–1237802. 2 indexed citations
6.
Đurić, Zoran, et al.. (2023). A Comparison of Approaches for Segmenting the Reaching and Targeting Motion Primitives in Functional Upper Extremity Reaching Tasks. IEEE Journal of Translational Engineering in Health and Medicine. 12. 10–21.
7.
Shah, Jay, et al.. (2019). Myofascial Pain Syndrome: A Narrative Review Identifying Inconsistencies in Nomenclature. PM&R. 12(9). 916–925. 14 indexed citations
8.
Guan, Steven, Amir Khan, Siddhartha Sikdar, & Parag V. Chitnis. (2019). Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal. IEEE Journal of Biomedical and Health Informatics. 24(2). 568–576. 365 indexed citations breakdown →
9.
Khan, Amir, et al.. (2019). Quantitative assessment of carotid plaque morphology (geometry and tissue composition) using computed tomography angiography. Journal of Vascular Surgery. 70(3). 858–868. 37 indexed citations
10.
Gray, Vicki L., Andrew P. Goldberg, Mark W. Rogers, et al.. (2019). Asymptomatic carotid stenosis is associated with mobility and cognitive dysfunction and heightens falls in older adults. Journal of Vascular Surgery. 71(6). 1930–1937. 31 indexed citations
11.
Bird, Matthew D., Jay Shah, Lynn H. Gerber, et al.. (2018). Characterization of local muscle fiber anisotropy using shear wave elastography in patients with chronic myofascial pain. Annals of Physical and Rehabilitation Medicine. 61. e13–e13.
12.
Sikdar, Siddhartha, Guoqing Diao, Diego Turo, et al.. (2018). Quantification of Muscle Tissue Properties by Modeling the Statistics of Ultrasound Image Intensities Using a Mixture of Gamma Distributions in Children With and Without Cerebral Palsy. Journal of Ultrasound in Medicine. 37(9). 2157–2169. 8 indexed citations
13.
Khan, Amir, et al.. (2017). Semiautomatic quantification of carotid plaque volume with three-dimensional ultrasound imaging. Journal of Vascular Surgery. 65(5). 1407–1417. 10 indexed citations
14.
Chitnis, Parag V., et al.. (2016). Photoacoustic imaging of muscle oxygenation during exercise. The Journal of the Acoustical Society of America. 139(4_Supplement). 2176–2176. 2 indexed citations
15.
Shah, Jay, et al.. (2015). Myofascial Trigger Points Then and Now: A Historical and Scientific Perspective. PM&R. 7(7). 746–761. 281 indexed citations breakdown →
17.
Sikdar, Siddhartha, Qi Wei, & Nelson Cortés. (2014). Dynamic Ultrasound Imaging Applications to Quantify Musculoskeletal Function. Exercise and Sport Sciences Reviews. 42(3). 126–135. 31 indexed citations
18.
Eranki, Avinash, et al.. (2013). A Novel Application of Musculoskeletal Ultrasound Imaging. Journal of Visualized Experiments. 4 indexed citations
19.
Aldaghlas, Tayseer, et al.. (2013). A Novel Decision Tree Approach Based on Transcranial Doppler Sonography to Screen for Blunt Cervical Vascular Injuries. Journal of Ultrasound in Medicine. 32(6). 1023–1031. 11 indexed citations
20.
Sikdar, Siddhartha, et al.. (2009). Measurement of rectus femoris muscle velocities during patellar tendon jerk using vector tissue doppler imaging. PubMed. 143. 2963–2966. 12 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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