Saivimal Sridar

22 total papers · 473 total citations
17 papers, 342 citations indexed

About

Saivimal Sridar is a scholar working on Biomedical Engineering, Pharmacology and Rehabilitation. According to data from OpenAlex, Saivimal Sridar has authored 17 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 3 papers in Pharmacology and 3 papers in Rehabilitation. Recurrent topics in Saivimal Sridar's work include Prosthetics and Rehabilitation Robotics (9 papers), Soft Robotics and Applications (8 papers) and Muscle activation and electromyography studies (8 papers). Saivimal Sridar is often cited by papers focused on Prosthetics and Rehabilitation Robotics (9 papers), Soft Robotics and Applications (8 papers) and Muscle activation and electromyography studies (8 papers). Saivimal Sridar collaborates with scholars based in United States, Netherlands and Belgium. Saivimal Sridar's co-authors include Panagiotis Polygerinos, Pham H. Nguyen, Wenlong Zhang, Carly M. Thalman, Zhi Qiao, Mengjia Zhu, Christina Kwasnica, Marko B. Popović, Herman van der Kooij and Massimo Sartori and has published in prestigious journals such as IEEE Robotics and Automation Letters, Frontiers in Robotics and AI and IEEE Transactions on Medical Robotics and Bionics.

In The Last Decade

Saivimal Sridar

17 papers receiving 335 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saivimal Sridar 326 74 55 52 36 17 342
Carly M. Thalman 331 1.0× 84 1.1× 74 1.3× 40 0.8× 20 0.6× 13 369
Maxwell Herman 334 1.0× 58 0.8× 143 2.6× 102 2.0× 28 0.8× 8 392
Allan J. Veale 349 1.1× 58 0.8× 148 2.7× 44 0.8× 13 0.4× 12 396
Zhi Qiang Tang 299 0.9× 77 1.0× 87 1.6× 125 2.4× 41 1.1× 16 362
Linda Paternò 343 1.1× 66 0.9× 29 0.5× 65 1.3× 28 0.8× 18 393
Richard Suphapol Diteesawat 272 0.8× 122 1.6× 26 0.5× 40 0.8× 67 1.9× 18 308
Jianwen Luo 336 1.0× 74 1.0× 37 0.7× 107 2.1× 4 0.1× 23 397
Yoshiki Mori 241 0.7× 100 1.4× 25 0.5× 100 1.9× 24 0.7× 27 313
Kristin Nuckols 227 0.7× 42 0.6× 119 2.2× 34 0.7× 12 0.3× 9 297
Gian Maria Gasparri 325 1.0× 49 0.7× 99 1.8× 110 2.1× 7 0.2× 9 383

Countries citing papers authored by Saivimal Sridar

Since Specialization
Citations

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

Fields of papers citing papers by Saivimal Sridar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saivimal Sridar

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

All Works

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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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