Jaydev P. Desai

9.5k citations
202 papers · 7.0k indexed · 4 hit papers · h-index 40

Jaydev P. Desai

198 papers receiving 6.7k citations

Hit Papers

Robotic Artificial Mus...2992001202620092017250500750

Peers

Jaydev P. Desai
Comparison fields: 5 of 160
  • Biomedical Engineering 3.7k
  • Control and Systems Engineering 1.6k
  • Computer Networks and Communications 1.5k
  • Computer Vision and Pattern Recognition 1.3k
  • Mechanical Engineering 1.4k
Replace Paolo Fiorini with:
Paolo Fiorini Italy
Kaspar Althoefer United Kingdom
Rajni V. Patel Canada
Stefano Stramigioli Netherlands
Shuxiang Guo China
Blake Hannaford United States
Tianmiao Wang China
Jianwei Zhang Germany
Ning Xi United States
Elena De Momi Italy
Jaydev P. Desai relative to Paolo Fiorini Italy Paolo Fiorini's profile →
Citations per field
00.5×1.5×2.2×
Paolo Fiorini · 1×
Citations per year

Countries citing papers authored by Jaydev P. Desai

Since Specialization
Citations

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

Fields of papers citing papers by Jaydev P. Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaydev P. Desai. 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 Jaydev P. Desai. The network helps show where Jaydev P. Desai may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jaydev P. Desai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jaydev P. Desai Line = papers co-authored together Jaydev P. Desai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20242
3 20243
4 20240
5 20233
6 202011
7 202047
8 202046
9 20199
10
Robotic Artificial Muscles: Current Progress and Future Perspectivesbreakdown →
2019299
11 201933
12 201753
13 201545
14 201331
15 20127
16 20111
17 200961
18 2009115
19 200953
20 200774

About Jaydev P. Desai

Jaydev P. Desai is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 202 papers that have together received 7.0k indexed citations. Recurring topics across this work include Soft Robotics and Applications (103 papers), Surgical Simulation and Training (23 papers), Robot Manipulation and Learning (21 papers), Cellular Mechanics and Interactions (21 papers), Robotic Path Planning Algorithms (21 papers), Force Microscopy Techniques and Applications (19 papers), Shape Memory Alloy Transformations (19 papers) and Teleoperation and Haptic Systems (16 papers). The work is most often cited by research in Biomedical Engineering (3.7k citations), Control and Systems Engineering (1.6k citations) and Computer Networks and Communications (1.5k citations). Jaydev P. Desai has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Vijay Kumar, J.P. Ostrowski, Andres Castellanos, William C. Meyers, Anthony R. Lanfranco, James Ostrowski, Gregory Tholey, Shing Shin Cheng, Yeongjin Kim and Jun Sheng. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Medical Robotics and Bionics, IEEE/ASME Transactions on Mechatronics, IEEE Transactions on Robotics and IEEE Transactions on Biomedical Engineering.

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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