Niranjan S. Ghaisas
- Aerospace Engineering top 5%
- Computational Mechanics top 5%
- Environmental Engineering top 5%
- Mechanical Engineering
- Mechanics of Materials
- Co-authors
- Carl WassgrenFarshid SadeghiCristina L. ArcherSanjiva K. LeleSteven H. FrankelShengbai XieAditya S. GhateCharles Meneveau
- Topics
- Wind and Air Flow Studies (17 papers)Fluid Dynamics and Vibration Analysis (15 papers)Fluid Dynamics and Turbulent Flows (14 papers)
- Journals
- Journal of Computational PhysicsInternational Journal of Heat and Mass TransferPhysics of Fluids
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Niranjan S. Ghaisas
28 papers receiving 490 citations
Peers
Comparison fields: 5 of 47
- Aerospace Engineering 240
- Computational Mechanics 224
- Environmental Engineering 198
- Mechanical Engineering 146
- Mechanics of Materials 55
Countries citing papers authored by Niranjan S. Ghaisas
This map shows the geographic impact of Niranjan S. Ghaisas'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 Niranjan S. Ghaisas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niranjan S. Ghaisas more than expected).
Fields of papers citing papers by Niranjan S. Ghaisas
This network shows the impact of papers produced by Niranjan S. Ghaisas. 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 Niranjan S. Ghaisas. The network helps show where Niranjan S. Ghaisas may publish in the future.
Co-authorship network of co-authors of Niranjan S. Ghaisas
This figure shows the co-authorship network connecting the top 25 collaborators of Niranjan S. Ghaisas. A scholar is included among the top collaborators of Niranjan S. Ghaisas 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 Niranjan S. Ghaisas. Niranjan S. Ghaisas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 35 | |
| 10 | 15 | |
| 11 | 25 | |
| 12 | 47 | |
| 13 | 4 | |
| 14 | 48 | |
| 15 | Benefits of vertically-staggered wind turbines from theoretical analysis and Large-Eddy Simulations | 2 |
| 16 | 11 | |
| 17 | 37 | |
| 18 | 20 | |
| 19 | Subgrid Scale Modeling for Large Eddy Simulation of Buoyant Turbulent Flows | 1 |
| 20 | 133 |
About Niranjan S. Ghaisas
Niranjan S. Ghaisas is a scholar working on Computational Mechanics, Environmental Engineering and Aerospace Engineering, having authored 28 papers that have together received 500 indexed citations. Recurring topics across this work include Wind and Air Flow Studies (17 papers), Fluid Dynamics and Vibration Analysis (15 papers) and Fluid Dynamics and Turbulent Flows (14 papers). The work is most often cited by research in Environmental Engineering (198 citations), Computational Mechanics (224 citations) and Aerospace Engineering (240 citations). Niranjan S. Ghaisas has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Carl Wassgren, Farshid Sadeghi, Cristina L. Archer, Sanjiva K. Lele, Steven H. Frankel, Shengbai Xie, Aditya S. Ghate, Charles Meneveau, Sicheng Wu and Eoghan Maguire. Their work appears in journals such as Journal of Computational Physics, International Journal of Heat and Mass Transfer and Physics of 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.