Prashanth Ravi

22 papers receiving 242 citations

Peers

Prashanth Ravi
Comparison fields: 5 of 59
  • Automotive Engineering 110
  • Health Informatics 6
  • General Dentistry 8
  • Biomedical Engineering 167
  • Biomaterials 43
Replace Jinzuo Wang with:
Jinzuo Wang China
Huagui Huang China
Guilherme Arthur Longhitano Brazil
S. Renold Elsen India
Nava Raj Khatri United States
Heesuk Kang United States
Aleksa Milovanović Serbia
Sonya Ghanavati Finland
Viktória Rajťúková Slovakia
Cemile Başgül United States
Prashanth Ravi relative to Jinzuo Wang China Jinzuo Wang's profile →
Citations per field
00.5×1.5×2.1×
Jinzuo Wang · 1×
Citations per year

Countries citing papers authored by Prashanth Ravi

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202233
2 201733
3 202425
4 202323
5 202121
6 202220
7 201720
8 202314
9 20209
10 20219
11 20157
12 20186
13 20255
14 20155
15 20214
16 20233
17 20233
18 20242
19 20152
20 20182

About Prashanth Ravi

Prashanth Ravi is a scholar working on Biomedical Engineering, Automotive Engineering, Surgery, Biomaterials and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 248 indexed citations. Recurring topics across this work include Anatomy and Medical Technology (11 papers), Additive Manufacturing and 3D Printing Technologies (11 papers), 3D Printing in Biomedical Research (9 papers), Surgical Simulation and Training (7 papers), Bone Tissue Engineering Materials (7 papers), Digital Imaging in Medicine (4 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and biodegradable polymer synthesis and properties (2 papers). The work is most often cited by research in Automotive Engineering (110 citations), Health Informatics (6 citations), General Dentistry (8 citations), Biomedical Engineering (167 citations) and Biomaterials (43 citations). Prashanth Ravi has collaborated with scholars based in United States, Canada and Philippines. Frequent co-authors include Panos S. Shiakolas, Karthik Tappa, Frank J. Rybicki, Suprateek Kundu, Leonid Chepelev, Victoria C. P. Chen, Benjamin Jones, Shayne Kondor, David H. Ballard and Jamie Wright. Their work appears in journals such as Medical Physics, Journal of Digital Imaging, Journal of Biomedical Materials Research Part B Applied Biomaterials, Journal of Manufacturing Science and Engineering and Gels.

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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