Deepak Joshi

88 papers receiving 963 citations

Peers

Deepak Joshi
Comparison fields: 5 of 118
  • Physical Therapy, Sports Therapy and Rehabilitation 109
  • Rehabilitation 111
  • Biomedical Engineering 531
  • Human-Computer Interaction 45
  • Computational Mathematics 4
Replace Cristian Pasluosta with:
Cristian Pasluosta Germany
Federica Verdini Italy
Milica Djurić-Jovičić Serbia
Elena Bergamini Italy
Dominic Thewlis Australia
Michela Goffredo Italy
Manuel E. Hernandez United States
Alessandro Mengarelli Italy
Benjamin L. Patritti United States
Jurandir Nadal Brazil
Deepak Joshi relative to Cristian Pasluosta Germany Cristian Pasluosta's profile →
Citations per field
00.5×1.5×2.5×
Cristian Pasluosta · 1×
Citations per year

Countries citing papers authored by Deepak Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201796
2 202148
3 201546
4 201842
5 202142
6 202141
7 201940
8 202339
9 201538
10 201831
11 201327
12 202025
13 201824
14 202019
15 202319
16 202318
17 202017
18 200516
19 201916
20 201916

About Deepak Joshi

Deepak Joshi is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation, Cognitive Neuroscience, Surgery and Cellular and Molecular Neuroscience, having authored 96 papers that have together received 1.0k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (37 papers), Prosthetics and Rehabilitation Robotics (20 papers), Balance, Gait, and Falls Prevention (14 papers), EEG and Brain-Computer Interfaces (12 papers), Advanced Sensor and Energy Harvesting Materials (10 papers), Diabetic Foot Ulcer Assessment and Management (9 papers), Stroke Rehabilitation and Recovery (9 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (109 citations), Rehabilitation (111 citations), Biomedical Engineering (531 citations), Human-Computer Interaction (45 citations) and Computational Mathematics (4 citations). Deepak Joshi has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Pradeep Joshi, Rishabh Bajpai, Michael E. Hahn, Prerna Gaur, Richa Sharma, Ashutosh Tiwari, Sneh Anand, Shiv Dutt Joshi, Upinderpal Singh and Dhirendra Kumar Singh. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Instrumentation and Measurement, Computers & Electrical Engineering and IEEE Journal of Biomedical and Health Informatics.

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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