Ramya Chandrasekaran
- Pollution top 5%
- Public Health, Environmental and Occupational Health top 10%
- Industrial and Manufacturing Engineering top 5%
- Biomedical Engineering
- Plant Science
- Co-authors
- K. S. RajmohanSunita VarjaniPei‐Yong ShiTobias CornvikChong Wai LiewJulien LescarSreenivasulu Reddy MogaliCheah C. Seh
- Topics
- Surgical Simulation and Training (4 papers)Innovations in Medical Education (4 papers)Anatomy and Medical Technology (4 papers)
In The Last Decade
Ramya Chandrasekaran
15 papers receiving 759 citations
Peers
Comparison fields: 5 of 122
- Pollution 223
- Public Health, Environmental and Occupational Health 213
- Industrial and Manufacturing Engineering 151
- Biomedical Engineering 114
- Plant Science 109
Countries citing papers authored by Ramya Chandrasekaran
This map shows the geographic impact of Ramya Chandrasekaran'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 Ramya Chandrasekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramya Chandrasekaran more than expected).
Fields of papers citing papers by Ramya Chandrasekaran
This network shows the impact of papers produced by Ramya Chandrasekaran. 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 Ramya Chandrasekaran. The network helps show where Ramya Chandrasekaran may publish in the future.
Co-authorship network of co-authors of Ramya Chandrasekaran
This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Chandrasekaran. A scholar is included among the top collaborators of Ramya Chandrasekaran 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 Ramya Chandrasekaran. Ramya Chandrasekaran 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 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 26 | |
| 10 | 267 | |
| 11 | Automatic Fruit and Vegetable Detection and Disease Identification System | 4 |
| 12 | 10 | |
| 13 | 30 | |
| 14 | 218 | |
| 15 | 84 | |
| 16 | 76 | |
| 17 | 32 |
About Ramya Chandrasekaran
Ramya Chandrasekaran is a scholar working on General Dentistry, Virology and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 783 indexed citations. Recurring topics across this work include Surgical Simulation and Training (4 papers), Innovations in Medical Education (4 papers) and Anatomy and Medical Technology (4 papers). The work is most often cited by research in Pollution (223 citations), Industrial and Manufacturing Engineering (151 citations) and Virology (47 citations). Ramya Chandrasekaran has collaborated with scholars based in Singapore, India and France. Frequent co-authors include K. S. Rajmohan, Sunita Varjani, Pei‐Yong Shi, Tobias Cornvik, Chong Wai Liew, Julien Lescar, Sreenivasulu Reddy Mogali, Cheah C. Seh, Julien Lescar and Andrew D. Davidson. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology and Biochemical and Biophysical Research Communications.
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.