Deepak Ravindra

629 citations
32 papers · 516 · h-index 13

Impact in

Papers in

Deepak Ravindra

31 papers receiving 487 citations

Peers

Deepak Ravindra
Comparison fields: 5 of 21
  • Biomedical Engineering 469
  • Mechanical Engineering 384
  • Computational Mechanics 211
  • Materials Chemistry 188
  • Electrical and Electronic Engineering 121
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Tooru Asami Japan
E. Paul United States
Houfu Dai China
Weihai Huang Japan
Jinyang Ke China
Ruiqing Xie China
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Zhijun Yuan China
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Citations per field
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Citations per year

Countries citing papers authored by Deepak Ravindra

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Ravindra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Deepak Ravindra, 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 Ravindra Line = papers co-authored together Deepak Ravindra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201597
2 201287
3 201840
4 201833
5 202030
6 200925
7 201122
8 201521
9 201417
10
Ductile Mode Material Removal of Ceramics and Semiconductors
201115
11 201414
12 202013
13 201912
14 201910
15
Pressure and temperature effects in micro-laser assisted machining (μ-LAM) of silicon carbide
20098
16 20088
17 20097
18 20127
19
Micro-laser assisted single point diamond turning feasibility tests of single crystal silicon
20136
20 20176

About Deepak Ravindra

Deepak Ravindra is a scholar working on Biomedical Engineering, Mechanical Engineering, Materials Chemistry, Computational Mechanics and Electrical and Electronic Engineering, having authored 32 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (29 papers), Advanced machining processes and optimization (18 papers), Diamond and Carbon-based Materials Research (17 papers), Laser Material Processing Techniques (15 papers), Power Transformer Diagnostics and Insulation (3 papers), Metal and Thin Film Mechanics (3 papers), Advanced Machining and Optimization Techniques (2 papers) and Corrosion Behavior and Inhibition (2 papers). The work is most often cited by research in Biomedical Engineering (469 citations), Mechanical Engineering (384 citations), Computational Mechanics (211 citations), Materials Chemistry (188 citations) and Electrical and Electronic Engineering (121 citations). Deepak Ravindra has collaborated with scholars based in United States and India. Frequent co-authors include John Patten, Hossein Mohammadi, Muralidhar K. Ghantasala, A. Mann, Di Kang, Di Kang, Ronald L. Jacobsen, J. Sundara Rajan, Jun Qu and Shyam Kumar. Their work appears in journals such as Precision Engineering, Machining Science and Technology, International Journal of Manufacturing Research, Materials and Manufacturing Processes and Journal of Manufacturing Processes.

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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