Sunil Appanaboyina
- Neurology top 2%
- Pulmonary and Respiratory Medicine top 10%
- Computational Mechanics top 5%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Co-authors
- Juan R. CebralChristopher M. PutmanMarcelo A. CastroDaniel MillánAlejandro F. FrangiRainald LöhnerFernando MutEric Mestreau
- Topics
- Intracranial Aneurysms: Treatment and Complications (8 papers)Lattice Boltzmann Simulation Studies (5 papers)Cerebrovascular and Carotid Artery Diseases (5 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringIEEE Transactions on Medical ImagingInternational Journal for Numerical Methods in Fluids
- Partner nations
- United StatesArgentinaAustria
In The Last Decade
Sunil Appanaboyina
16 papers receiving 884 citations
Peers
Comparison fields: 5 of 71
- Neurology 501
- Pulmonary and Respiratory Medicine 369
- Computational Mechanics 202
- Biomedical Engineering 152
- Cardiology and Cardiovascular Medicine 112
Countries citing papers authored by Sunil Appanaboyina
This map shows the geographic impact of Sunil Appanaboyina'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 Sunil Appanaboyina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Appanaboyina more than expected).
Fields of papers citing papers by Sunil Appanaboyina
This network shows the impact of papers produced by Sunil Appanaboyina. 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 Sunil Appanaboyina. The network helps show where Sunil Appanaboyina may publish in the future.
Co-authorship network of co-authors of Sunil Appanaboyina
This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Appanaboyina. A scholar is included among the top collaborators of Sunil Appanaboyina 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 Sunil Appanaboyina. Sunil Appanaboyina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | CFD Introduction | 1 |
| 2 | 2 | |
| 3 | 112 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 90 | |
| 7 | 26 | |
| 8 | 12 | |
| 9 | 25 | |
| 10 | 89 | |
| 11 | 82 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 445 | |
| 16 | 1 |
About Sunil Appanaboyina
Sunil Appanaboyina is a scholar working on Neurology, Computational Mechanics and Biophysics, having authored 16 papers that have together received 903 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (8 papers), Lattice Boltzmann Simulation Studies (5 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). The work is most often cited by research in Neurology (501 citations), Computer Graphics and Computer-Aided Design (48 citations) and Pulmonary and Respiratory Medicine (369 citations). Sunil Appanaboyina has collaborated with scholars based in United States, Argentina and Austria. Frequent co-authors include Juan R. Cebral, Christopher M. Putman, Marcelo A. Castro, Daniel Millán, Alejandro F. Frangi, Rainald Löhner, Fernando Mut, Eric Mestreau, Joseph D. Baum and Fernando Camelli. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, IEEE Transactions on Medical Imaging and International Journal for Numerical Methods in Fluids.
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.