Dharneedar Ravichandran
- Biomedical Engineering top 10%
- Automotive Engineering top 2%
- Mechanical Engineering top 10%
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Kenan SongSayli JambhulkarWeiheng XuYuxiang ZhuGuillaume Miquelard‐GarnierDavid G. LottOrit ShefiYang Yang
- Topics
- Additive Manufacturing and 3D Printing Technologies (16 papers)Advanced Sensor and Energy Harvesting Materials (13 papers)3D Printing in Biomedical Research (7 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Dharneedar Ravichandran
33 papers receiving 828 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Biomedical Engineering 465
- Automotive Engineering 395
- Mechanical Engineering 225
- Materials Chemistry 203
- Electrical and Electronic Engineering 150
Countries citing papers authored by Dharneedar Ravichandran
This map shows the geographic impact of Dharneedar Ravichandran'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 Dharneedar Ravichandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dharneedar Ravichandran more than expected).
Fields of papers citing papers by Dharneedar Ravichandran
This network shows the impact of papers produced by Dharneedar Ravichandran. 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 Dharneedar Ravichandran. The network helps show where Dharneedar Ravichandran may publish in the future.
Co-authorship network of co-authors of Dharneedar Ravichandran
This figure shows the co-authorship network connecting the top 25 collaborators of Dharneedar Ravichandran. A scholar is included among the top collaborators of Dharneedar Ravichandran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dharneedar Ravichandran. Dharneedar Ravichandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 32 | |
| 11 | 12 | |
| 12 | 38 | |
| 13 | 10 | |
| 14 | 36 | |
| 15 | 37 | |
| 16 | 3D printing for polymer/particle-based processing: A reviewbreakdown → | 226 |
| 17 | 13 | |
| 18 | 26 | |
| 19 | 9 | |
| 20 | 22 |
About Dharneedar Ravichandran
Dharneedar Ravichandran is a scholar working on Automotive Engineering, Biomedical Engineering and Polymers and Plastics, having authored 36 papers that have together received 851 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (16 papers), Advanced Sensor and Energy Harvesting Materials (13 papers) and 3D Printing in Biomedical Research (7 papers). The work is most often cited by research in Automotive Engineering (395 citations), Biomedical Engineering (465 citations) and Polymers and Plastics (127 citations). Dharneedar Ravichandran has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Kenan Song, Sayli Jambhulkar, Weiheng Xu, Yuxiang Zhu, Guillaume Miquelard‐Garnier, David G. Lott, Orit Shefi, Yang Yang, Brent L. Vernon and Jeffrey L. Cornella. Their work appears in journals such as Advanced Materials, Nano Letters and ACS Nano.
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.