Vyom Raval
Impact in
- Mechanical Engineering top 10%
- Advanced Materials and Mechanics
- Modular Robots and Swarm Intelligence
- Polymers and Plastics top 10%
- Polymer composites and self-healing
Papers in
-
- Functional Brain Connectivity Studies 3
- EEG and Brain-Computer Interfaces 2
- Neurobiology of Language and Bilingualism 1
- Neural dynamics and brain function 1
- Neural and Behavioral Psychology Studies 1
-
- Advanced MRI Techniques and Applications 2
- Co-authors
- Mihaela C. Stefan (1 shared paper)Cedric P. Ambulo (1 shared paper)Hyun Kim (1 shared paper)John Michael O. Cue (1 shared paper)M. Ravi Shankar (1 shared paper)Taylor H. Ware (1 shared paper)Danyal A. Siddiqui (1 shared paper)Rathan M. Subramaniam (1 shared paper)
- Journals
- Developmental Cognitive Neuroscience (1 paper)Neuroinformatics (1 paper)Parkinsonism & Related Disorders (1 paper)Brain Connectivity (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- United StatesNew Zealand
In The Last Decade
Vyom Raval
5 papers receiving 342 citations
Peers
Comparison fields: 5 of 39
- Mechanical Engineering 284
- Polymers and Plastics 103
- Biomedical Engineering 231
- Electronic, Optical and Magnetic Materials 80
- Condensed Matter Physics 32
Countries citing papers authored by Vyom Raval
This map shows the geographic impact of Vyom Raval'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 Vyom Raval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vyom Raval more than expected).
Fields of papers citing papers by Vyom Raval
This network shows the impact of papers produced by Vyom Raval. 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 Vyom Raval. The network helps show where Vyom Raval may publish in the future.
Co-authors
The 16 scholars most cited alongside Vyom Raval, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 316 | |
| 2 | 2021 | 15 | |
| 3 | 2021 | 8 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 1 |
About Vyom Raval
Vyom Raval is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Polymers and Plastics, Mechanical Engineering and Biomedical Engineering, having authored 5 papers that have together received 344 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (3 papers), EEG and Brain-Computer Interfaces (2 papers), Advanced MRI Techniques and Applications (2 papers), Advanced Materials and Mechanics (1 paper), Neurobiology of Language and Bilingualism (1 paper), Neural dynamics and brain function (1 paper), Polymer composites and self-healing (1 paper) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Mechanical Engineering (284 citations), Polymers and Plastics (103 citations), Biomedical Engineering (231 citations), Electronic, Optical and Magnetic Materials (80 citations) and Condensed Matter Physics (32 citations). Vyom Raval has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Mihaela C. Stefan, Cedric P. Ambulo, Hyun Kim, John Michael O. Cue, M. Ravi Shankar, Taylor H. Ware, Danyal A. Siddiqui, Rathan M. Subramaniam, Richard B. Dewey and Albert Montillo. Their work appears in journals such as Developmental Cognitive Neuroscience, Neuroinformatics, Parkinsonism & Related Disorders, Brain Connectivity and Advanced Functional Materials.
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.