Vignesh Prasad
- Materials Chemistry
- Organic Chemistry
- Biomedical Engineering
- Fluid Flow and Transfer Processes top 10%
- Polymers and Plastics
- Co-authors
- David A. WeitzJonathan P. ZebrowskiLynn M. WalkerA. D. DinsmoreIan Y. WongBalaraman RavindranK. Madhava KrishnaLuca Cipelletti
- Topics
- Robot Manipulation and Learning (5 papers)Multimodal Machine Learning Applications (4 papers)Material Dynamics and Properties (4 papers)
- Journals
- Physical Review LettersColloids and Surfaces A Physicochemical and Engineering AspectsIEEE Transactions on Robotics
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Vignesh Prasad
15 papers receiving 580 citations
Peers
Comparison fields: 5 of 95
- Materials Chemistry 259
- Organic Chemistry 108
- Biomedical Engineering 90
- Fluid Flow and Transfer Processes 61
- Polymers and Plastics 57
Countries citing papers authored by Vignesh Prasad
This map shows the geographic impact of Vignesh Prasad'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 Vignesh Prasad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vignesh Prasad more than expected).
Fields of papers citing papers by Vignesh Prasad
This network shows the impact of papers produced by Vignesh Prasad. 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 Vignesh Prasad. The network helps show where Vignesh Prasad may publish in the future.
Co-authorship network of co-authors of Vignesh Prasad
This figure shows the co-authorship network connecting the top 25 collaborators of Vignesh Prasad. A scholar is included among the top collaborators of Vignesh Prasad 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 Vignesh Prasad. Vignesh Prasad 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 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 26 | |
| 8 | 14 | |
| 9 | 53 | |
| 10 | 85 | |
| 11 | 93 | |
| 12 | 70 | |
| 13 | 68 | |
| 14 | 33 | |
| 15 | 122 | |
| 16 | 2 | |
| 17 | A system model for silicon carbide crystal growth by physical vapor transport method | 6 |
| 18 | Remote surface inspection system | 12 |
About Vignesh Prasad
Vignesh Prasad is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 18 papers that have together received 596 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Multimodal Machine Learning Applications (4 papers) and Material Dynamics and Properties (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (61 citations), Molecular Medicine (48 citations) and Materials Chemistry (259 citations). Vignesh Prasad has collaborated with scholars based in United States, Germany and India. Frequent co-authors include David A. Weitz, Jonathan P. Zebrowski, Lynn M. Walker, A. D. Dinsmore, Ian Y. Wong, Balaraman Ravindran, K. Madhava Krishna, Luca Cipelletti, Rebecca Christianson and Phil Segre. Their work appears in journals such as Physical Review Letters, Colloids and Surfaces A Physicochemical and Engineering Aspects and IEEE Transactions on Robotics.
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.