D. Ravindran

52 papers receiving 1.6k citations

Peers

D. Ravindran
Comparison fields: 5 of 94
  • Polymers and Plastics 1.0k
  • Biomaterials 722
  • Industrial and Manufacturing Engineering 257
  • Mechanical Engineering 527
  • Metals and Alloys 34
Replace Mohammed T. Hayajneh with:
Mohammed T. Hayajneh Jordan
S. Kaliappan India
Jayakrishna Kandasamy India
Sumit Bhowmik India
Kaushik Kumar India
Noor Zaman Khan India
Murugesan Palaniappan Saudi Arabia
Omolayo M. Ikumapayi Nigeria
I. Rajendran India
B. Vijaya Ramnath India
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Citations per year

Countries citing papers authored by D. Ravindran

Since Specialization
Citations

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

Fields of papers citing papers by D. Ravindran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010328
2 2019246
3 2010142
4 2012123
5 2020107
6 202098
7 201174
8 200461
9 201652
10
An empirical study on service quality perceptions and continuance intention in mobile banking context in India
201251
11 201949
12 201137
13 201232
14 201131
15 201130
16 201530
17 201327
18 201523
19 201219
20 201919

About D. Ravindran

D. Ravindran is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Mechanics of Materials, Aerospace Engineering and Polymers and Plastics, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (11 papers), Advanced machining processes and optimization (9 papers), Advanced Machining and Optimization Techniques (8 papers), Natural Fiber Reinforced Composites (8 papers), Metal and Thin Film Mechanics (7 papers), Advanced Manufacturing and Logistics Optimization (7 papers), Advanced Cellulose Research Studies (6 papers) and High-Temperature Coating Behaviors (5 papers). The work is most often cited by research in Polymers and Plastics (1.0k citations), Biomaterials (722 citations), Industrial and Manufacturing Engineering (257 citations), Mechanical Engineering (527 citations) and Metals and Alloys (34 citations). D. Ravindran has collaborated with scholars based in India, United States and Australia. Frequent co-authors include R. Narayanasamy, V. Manikandan, V.S. Sreenivasan, A. Arul Marcel Moshi, S.R. Sundara Bharathi, S. S. Saravanakumar, Yucheng Liu, Indran Suyambulingam, G Rejikumar and G. Suganya Priyadharshini. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Surface Topography Metrology and Properties, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, International Journal of Biological Macromolecules and Surface Review and Letters.

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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