Rao Garimella

1.3k total citations
41 papers, 891 citations indexed

About

Rao Garimella is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rao Garimella has authored 41 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 17 papers in Computer Graphics and Computer-Aided Design and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rao Garimella's work include Computational Geometry and Mesh Generation (14 papers), Computer Graphics and Visualization Techniques (11 papers) and Computational Fluid Dynamics and Aerodynamics (7 papers). Rao Garimella is often cited by papers focused on Computational Geometry and Mesh Generation (14 papers), Computer Graphics and Visualization Techniques (11 papers) and Computational Fluid Dynamics and Aerodynamics (7 papers). Rao Garimella collaborates with scholars based in United States, France and Czechia. Rao Garimella's co-authors include Mikhail Shashkov, Mark S. Shephard, Milan Kuchařík, Patrick Knupp, D. Moulton, Scott Painter, Ethan T. Coon, Markus Berndt, Pavel Váchal and Marianne Francois and has published in prestigious journals such as Applied Physics Letters, Water Resources Research and Journal of Computational Physics.

In The Last Decade

Rao Garimella

40 papers receiving 838 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rao Garimella United States 16 528 306 125 64 58 41 891
Shahrouz Aliabadi United States 18 994 1.9× 64 0.2× 52 0.4× 39 0.6× 70 1.2× 42 1.2k
Jacques Middlecoff United States 12 245 0.5× 43 0.1× 297 2.4× 57 0.9× 26 0.4× 18 751
Tilman Neunhoeffer Germany 4 233 0.4× 57 0.2× 18 0.1× 35 0.5× 35 0.6× 5 416
N. YU United States 16 507 1.0× 18 0.1× 96 0.8× 60 0.9× 22 0.4× 48 723
Claes Eskilsson Sweden 19 928 1.8× 22 0.1× 125 1.0× 151 2.4× 78 1.3× 66 1.3k
Chuen‐Yen Chow United States 16 770 1.5× 16 0.1× 50 0.4× 52 0.8× 47 0.8× 62 1.0k
Rodolfo Ostilla–Mónico United States 15 622 1.2× 13 0.0× 92 0.7× 83 1.3× 31 0.5× 45 809
Stephen Longshaw United Kingdom 5 671 1.3× 20 0.1× 35 0.3× 11 0.2× 59 1.0× 14 834
Alexandre Caboussat United States 12 200 0.4× 18 0.1× 103 0.8× 18 0.3× 33 0.6× 51 419

Countries citing papers authored by Rao Garimella

Since Specialization
Citations

This map shows the geographic impact of Rao Garimella'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 Rao Garimella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rao Garimella more than expected).

Fields of papers citing papers by Rao Garimella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rao Garimella. 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 Rao Garimella. The network helps show where Rao Garimella may publish in the future.

Co-authorship network of co-authors of Rao Garimella

This figure shows the co-authorship network connecting the top 25 collaborators of Rao Garimella. A scholar is included among the top collaborators of Rao Garimella 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 Rao Garimella. Rao Garimella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Garimella, Rao, et al.. (2024). Reinforcement learning for block decomposition of planar CAD models. Engineering With Computers. 2 indexed citations
2.
Huang, Chengkun, Feiyu Li, Bo Shen, et al.. (2022). CoSyR: A novel beam dynamics code for the modeling of synchrotron radiation effects. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1034. 166808–166808.
3.
Garimella, Rao, et al.. (2022). Conservative remapping of material-dependent fields between possibly misaligned material regions. Journal of Computational Physics. 466. 111401–111401. 1 indexed citations
4.
Lipnikov, Konstantin, et al.. (2022). Multi-material swept face remapping on polyhedral meshes. Journal of Computational Physics. 469. 111553–111553. 3 indexed citations
5.
Li, Feiyu, B.E. Carlsten, Rao Garimella, Chengkun Huang, & Thomas J. T. Kwan. (2019). Validation of a Novel Method for the Calculation of Near-Field Synchrotron Radiation. JACOW. 397–399. 1 indexed citations
6.
Martineau, Matt, et al.. (2018). A comparative study of multi-material data structures for computational physics applications. Computers & Mathematics with Applications. 78(2). 565–581. 4 indexed citations
7.
Shashkov, Mikhail, et al.. (2018). Establishing mesh topology in multi-material cells: Enabling technology for robust and accurate multi-material simulations. Computers & Fluids. 172. 251–263. 7 indexed citations
8.
Jan, Ahmad, Ethan T. Coon, Scott Painter, Rao Garimella, & D. Moulton. (2017). An intermediate-scale model for thermal hydrology in low-relief permafrost-affected landscapes. Computational Geosciences. 22(1). 163–177. 25 indexed citations
9.
Garimella, Rao, William Perkins, Markus Berndt, et al.. (2014). Mesh Infrastructure for Coupled Multiprocess Geophysical Simulations. Procedia Engineering. 82. 34–45. 6 indexed citations
10.
Coon, Ethan T., Markus Berndt, Rao Garimella, et al.. (2013). Computational Advances in the Arctic Terrestrial Simulator: Modeling Permafrost Degradation in a Warming Arctic. AGU Fall Meeting Abstracts. 2013. 2 indexed citations
11.
Garimella, Rao & Konstantin Lipnikov. (2010). Solution of the diffusion equation in multi‐material domains by sub‐division of elements along reconstructed interfaces. International Journal for Numerical Methods in Fluids. 65(11-12). 1423–1437. 5 indexed citations
12.
Garimella, Rao. (2008). Proceedings of the 17th International Meshing Roundtable. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 93 indexed citations
13.
Garimella, Rao, Milan Kuchařík, & Mikhail Shashkov. (2006). An efficient linearity and bound preserving conservative interpolation (remapping) on polyhedral meshes. Computers & Fluids. 36(2). 224–237. 42 indexed citations
14.
Garimella, Rao. (2004). MSTK - A Flexible Infrastructure Library for Developing Mesh Based Applications.. IMR. 213–220. 15 indexed citations
15.
Garimella, Rao, et al.. (2004). Reference Jacobian Rezoning Strategy for Arbitrary Lagrangian - Eulerian Methods on Polyhedral Grids.. IMR. 459–470. 5 indexed citations
16.
Garimella, Rao, Mikhail Shashkov, & Patrick Knupp. (2004). Triangular and quadrilateral surface mesh quality optimization using local parametrization. Computer Methods in Applied Mechanics and Engineering. 193(9-11). 913–928. 63 indexed citations
17.
Váchal, Pavel, Rao Garimella, & Mikhail Shashkov. (2003). Untangling of 2D meshes in ALE simulations. Journal of Computational Physics. 196(2). 627–644. 44 indexed citations
18.
Garimella, Rao, Mikhail Shashkov, & Patrick Knupp. (2002). Optimization of Surface Mesh Quality Using Local Parametrization.. IMR. 41–52. 16 indexed citations
19.
Garimella, Rao & Mark S. Shephard. (1998). Boundary Layer Meshing for Viscous Flows in Complex Domains.. IMR. 107–118. 30 indexed citations
20.
Shephard, Mark S., et al.. (1995). Automatic construction of 3-D models in multiple scale analysis. Computational Mechanics. 17(3). 196–207. 6 indexed citations

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.

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