Sanjay S. Joshi

2.1k total citations
86 papers, 1.4k citations indexed

About

Sanjay S. Joshi is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Sanjay S. Joshi has authored 86 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 20 papers in Biomedical Engineering and 18 papers in Aerospace Engineering. Recurrent topics in Sanjay S. Joshi's work include Muscle activation and electromyography studies (15 papers), EEG and Brain-Computer Interfaces (14 papers) and Spacecraft Dynamics and Control (9 papers). Sanjay S. Joshi is often cited by papers focused on Muscle activation and electromyography studies (15 papers), EEG and Brain-Computer Interfaces (14 papers) and Spacecraft Dynamics and Control (9 papers). Sanjay S. Joshi collaborates with scholars based in United States, India and Switzerland. Sanjay S. Joshi's co-authors include Jason L. Speyer, John Kim, Andrew A. Frank, Frederick G. Harmon, A. Trebi‐Ollennu, Hrand Aghazarian, Terrance L. Huntsberger, Paul S. Schenker, Paolo Pirjanian and Aaron Rundus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Journal of Fluid Mechanics.

In The Last Decade

Sanjay S. Joshi

82 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjay S. Joshi United States 19 309 304 240 209 208 86 1.4k
Todd D. Murphey United States 22 196 0.6× 393 1.3× 188 0.8× 117 0.6× 375 1.8× 177 2.0k
Kiyotoshi Matsuoka Japan 15 376 1.2× 909 3.0× 245 1.0× 173 0.8× 212 1.0× 53 2.1k
Shigang Yue United Kingdom 28 633 2.0× 441 1.5× 333 1.4× 77 0.4× 324 1.6× 176 2.6k
Matthias Franz Germany 19 312 1.0× 147 0.5× 355 1.5× 115 0.6× 100 0.5× 96 2.0k
Domenico Campolo Singapore 26 379 1.2× 897 3.0× 482 2.0× 63 0.3× 376 1.8× 145 2.1k
Tony Pipe United Kingdom 25 608 2.0× 717 2.4× 212 0.9× 40 0.2× 364 1.8× 159 2.4k
Goro Obinata Japan 17 320 1.0× 521 1.7× 80 0.3× 79 0.4× 133 0.6× 188 1.5k
Ohad Ben‐Shahar Israel 23 553 1.8× 103 0.3× 139 0.6× 59 0.3× 169 0.8× 88 2.0k
Keisuke Nakamura Japan 25 335 1.1× 197 0.6× 82 0.3× 143 0.7× 37 0.2× 142 1.9k

Countries citing papers authored by Sanjay S. Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay S. Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjay S. Joshi. 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 Sanjay S. Joshi. The network helps show where Sanjay S. Joshi may publish in the future.

Co-authorship network of co-authors of Sanjay S. Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay S. Joshi. A scholar is included among the top collaborators of Sanjay S. Joshi 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 Sanjay S. Joshi. Sanjay S. Joshi 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.
Joshi, Sanjay S., et al.. (2026). Phenotypic variation in growth and biofilm formation of Leuconostoc spp. from sugar beet factories. Frontiers in Microbiology. 16. 1745936–1745936. 1 indexed citations
2.
Terrell, Evan, et al.. (2026). Optimizing antimicrobial dosing of bacterial isolates from sugar beet factories to reduce sucrose losses. Applied and Environmental Microbiology. e0164625–e0164625.
3.
Ahumada-Newhart, Verónica, et al.. (2023). Study of Telerobot Personalization for Children. PubMed. 2023. 536–539. 3 indexed citations
4.
5.
Joshi, Sanjay S., et al.. (2016). Hallermann-Streiff syndrome-confluence of systems!. 38(1). 43–45. 1 indexed citations
6.
Joshi, Sanjay S., et al.. (2016). Effects of muscle fatigue on the usability of a myoelectric human-computer interface. Human Movement Science. 49. 225–238. 15 indexed citations
7.
Donati, Ana R. C., Solaiman Shokur, Edgard Morya, et al.. (2016). Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients. Scientific Reports. 6(1). 30383–30383. 277 indexed citations
8.
Joshi, Sanjay S., et al.. (2013). Paralyzed subject controls telepresence mobile robot using novel sEMG brain-computer interface: Case study. PubMed. 2013. 1–6. 2 indexed citations
9.
Joshi, Sanjay S., et al.. (2012). Pilot study for a Brain-Muscle-Computer Interface using the Extensor Pollicis Longus with preselected frequency bands. PubMed. 53. 1727–1731. 4 indexed citations
10.
Wexler, Anthony S., et al.. (2010). Two-Dimensional Cursor-to-Target Control From Single Muscle Site sEMG Signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 18(2). 203–209. 31 indexed citations
11.
Joshi, Sanjay S., et al.. (2006). Adaptive Formation Control for Rovers Traveling over Unknown Terrains. Journal of Guidance Control and Dynamics. 29(3). 714–724. 9 indexed citations
12.
Joshi, Sanjay S., et al.. (2006). Mathematical modeling and computer simulation of a robotic rat pup. Mathematical and Computer Modelling. 45(7-8). 981–1000. 10 indexed citations
13.
Harmon, Frederick G., et al.. (2005). The Control of a Parallel Hybrid-Electric Propulsion System for a Small Unmanned Aerial Vehicle Using a CMAC Neural Network. DigitalCommons-Cedarville (Cedarville University). 1 indexed citations
14.
Elfes, Alberto, et al.. (2005). Autonomous flight control for a Titan exploration aerobot. 603. 91. 6 indexed citations
15.
Harmon, Frederick G., Andrew A. Frank, & Sanjay S. Joshi. (2005). The control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle using a CMAC neural network. Neural Networks. 18(5-6). 772–780. 59 indexed citations
16.
Joshi, Sanjay S., et al.. (2005). Adaptive Rover Formation Control over Unknown Terrains. AIAA Guidance, Navigation, and Control Conference and Exhibit. 1 indexed citations
17.
Joshi, Sanjay S., et al.. (2005). Disturbance Filtering and Identification on the Naval Postgraduate School 3-Axis Spacecraft Simulator. AIAA Guidance, Navigation, and Control Conference and Exhibit. 1 indexed citations
18.
Huntsberger, Terrance L., Paolo Pirjanian, A. Trebi‐Ollennu, et al.. (2001). Tightly-coupled coordination of multi-robot systems for mars exploration. IEEE Transactions on Robotics and Automation. 3 indexed citations
19.
Gupta, Sunil, Ram Sagar, Sanjay S. Joshi, et al.. (2001). UPSO three channel fast photometer. 29. 479–486. 3 indexed citations
20.
Schenker, Paul S., Terrance L. Huntsberger, Paolo Pirjanian, et al.. (2000). <title>Robot work crews for planetary outposts: close cooperation and coordination of multiple mobile robots</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4196. 210–220. 26 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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