Yash Chitalia

500 citations
26 papers · 368 indexed · h-index 11

Yash Chitalia

22 papers receiving 365 citations

Peers

Yash Chitalia
Comparison fields: 5 of 66
  • Biomedical Engineering 308
  • Condensed Matter Physics 59
  • Control and Systems Engineering 90
  • Health Informatics 4
  • Anesthesiology and Pain Medicine 12
Replace Seokhwan Jeong with:
Seokhwan Jeong South Korea
Xingchi He United States
Wuzhou Hong China
Richard J. Hendrick United States
Luc Maréchal France
Keri Kim South Korea
Pierre Berthet-Rayne United Kingdom
Muneaki Miyasaka United States
Lukas Lindenroth United Kingdom
Ewout A. Arkenbout Netherlands
Yash Chitalia relative to Seokhwan Jeong South Korea Seokhwan Jeong's profile →
Citations per field
00.5×1.7×
Seokhwan Jeong · 1×
Citations per year

Countries citing papers authored by Yash Chitalia

Since Specialization
Citations

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

Fields of papers citing papers by Yash Chitalia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yash Chitalia, 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 Yash Chitalia Line = papers co-authored together Yash Chitalia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20240
4 20240
5 202320
6 20235
7 202310
8 20220
9 202216
10 202047
11 202046
12 20208
13 202011
14 202053
15 201916
16 201837
17
Autobed: Open Hardware for Accessible Web-based Control of an Electric Bed
20162
18
Collaboration Between a Robotic Bed and a Mobile Manipulator May Improve Physical Assistance for People with Disabilities
20164
19 201611
20 20141

About Yash Chitalia

Yash Chitalia is a scholar working on Biomedical Engineering, Control and Systems Engineering and Condensed Matter Physics, having authored 26 papers that have together received 368 indexed citations. Recurring topics across this work include Soft Robotics and Applications (16 papers), Robot Manipulation and Learning (5 papers), Surgical Simulation and Training (4 papers), Advanced Surface Polishing Techniques (4 papers), Micro and Nano Robotics (3 papers), Modular Robots and Swarm Intelligence (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Biomedical Engineering (308 citations), Condensed Matter Physics (59 citations) and Control and Systems Engineering (90 citations). Yash Chitalia has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Jaydev P. Desai, Seokhwan Jeong, Joshua J. Chern, Charles C. Kemp, Pierre E. Dupont, Daehyung Park, Ariel Kapusta, Uroš Kalabić, Julia Buckland and Ilya Kolmanovsky. Their work appears in journals such as PLoS ONE, IEEE Transactions on Robotics and IEEE Sensors Journal.

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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