Revathi Jambunathan

402 total citations
27 papers, 234 citations indexed

About

Revathi Jambunathan is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Applied Mathematics. According to data from OpenAlex, Revathi Jambunathan has authored 27 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 13 papers in Computational Mechanics and 9 papers in Applied Mathematics. Recurrent topics in Revathi Jambunathan's work include Gas Dynamics and Kinetic Theory (9 papers), Computational Fluid Dynamics and Aerodynamics (6 papers) and Plasma Diagnostics and Applications (6 papers). Revathi Jambunathan is often cited by papers focused on Gas Dynamics and Kinetic Theory (9 papers), Computational Fluid Dynamics and Aerodynamics (6 papers) and Plasma Diagnostics and Applications (6 papers). Revathi Jambunathan collaborates with scholars based in United States and Switzerland. Revathi Jambunathan's co-authors include Deborah A. Levin, Francesco Panerai, Arnaud Borner, Joseph C. Ferguson, Daniel J. Bodony, Zhi Yao, Özgür Tümüklü, Andrew Nonaka, Qi Zhang and Sayeef Salahuddin and has published in prestigious journals such as The Astrophysical Journal, Journal of Computational Physics and International Journal of Heat and Mass Transfer.

In The Last Decade

Revathi Jambunathan

25 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Revathi Jambunathan United States 8 108 91 67 52 34 27 234
V. A. Sakharov Russia 9 65 0.6× 57 0.6× 64 1.0× 160 3.1× 44 1.3× 66 276
Taylor Lilly United States 12 129 1.2× 66 0.7× 104 1.6× 87 1.7× 23 0.7× 36 332
T. A. Lapushkina Russia 9 82 0.8× 143 1.6× 69 1.0× 226 4.3× 22 0.6× 62 310
Bijiao He China 13 181 1.7× 178 2.0× 196 2.9× 194 3.7× 30 0.9× 51 472
Viviana Lago France 10 101 0.9× 184 2.0× 133 2.0× 237 4.6× 46 1.4× 52 360
Israel B. Sebastião United States 12 61 0.6× 106 1.2× 229 3.4× 102 2.0× 35 1.0× 28 348
Ching Shen China 6 51 0.5× 240 2.6× 259 3.9× 108 2.1× 21 0.6× 10 369
Alec Houpt United States 12 73 0.7× 256 2.8× 67 1.0× 302 5.8× 30 0.9× 41 393
Frank Siebe Germany 10 90 0.8× 153 1.7× 175 2.6× 178 3.4× 16 0.5× 25 347
Erin Farbar United States 10 38 0.4× 165 1.8× 242 3.6× 193 3.7× 68 2.0× 15 327

Countries citing papers authored by Revathi Jambunathan

Since Specialization
Citations

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

Fields of papers citing papers by Revathi Jambunathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Revathi Jambunathan

This figure shows the co-authorship network connecting the top 25 collaborators of Revathi Jambunathan. A scholar is included among the top collaborators of Revathi Jambunathan 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 Revathi Jambunathan. Revathi Jambunathan 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.
Jambunathan, Revathi, et al.. (2025). Application of mesh refinement to relativistic magnetic reconnection. Physics of Plasmas. 32(1).
2.
Jambunathan, Revathi, et al.. (2023). Two-fluid physical modeling of superconducting resonators in the ARTEMIS framework. Computer Physics Communications. 291. 108836–108836. 1 indexed citations
3.
Jambunathan, Revathi, Jean-Luc Vay, Remi Lehé, et al.. (2023). Particle-in-cell Simulations of Relativistic Magnetic Reconnection with Advanced Maxwell Solver Algorithms. The Astrophysical Journal. 952(1). 8–8. 5 indexed citations
4.
Nonaka, Andrew, et al.. (2023). FerroX: A GPU-accelerated, 3D phase-field simulation framework for modeling ferroelectric devices. Computer Physics Communications. 290. 108757–108757. 11 indexed citations
5.
Lehé, Remi, et al.. (2022). Absorption of charged particles in perfectly matched layers by optimal damping of the deposited current. Physical review. E. 106(4). 45306–45306. 1 indexed citations
6.
Yao, Zhi, et al.. (2022). Characterization of Transmission Lines in Microelectronic Circuits Using the ARTEMIS Solver. IEEE journal on multiscale and multiphysics computational techniques. 8. 31–39. 3 indexed citations
7.
Yao, Zhi, et al.. (2022). A massively parallel time-domain coupled electrodynamics–micromagnetics solver. The International Journal of High Performance Computing Applications. 36(2). 167–181. 4 indexed citations
8.
Jambunathan, Revathi & Deborah A. Levin. (2020). A Self-Consistent Open Boundary Condition for Fully Kinetic Plasma Thruster Plume Simulations. IEEE Transactions on Plasma Science. 48(3). 610–630. 15 indexed citations
9.
Jambunathan, Revathi, Arnaud Borner, Joseph C. Ferguson, Francesco Panerai, & Deborah A. Levin. (2018). Prediction of thermal protection system material permeability and tortuosity factor using Direct Simulation Monte Carlo. 2018 AIAA Aerospace Sciences Meeting. 1 indexed citations
10.
Jambunathan, Revathi, Deborah A. Levin, Arnaud Borner, Joseph C. Ferguson, & Francesco Panerai. (2018). Prediction of gas transport properties through fibrous carbon preform microstructures using Direct Simulation Monte Carlo. International Journal of Heat and Mass Transfer. 130. 923–937. 34 indexed citations
11.
Jambunathan, Revathi & Deborah A. Levin. (2018). CHAOS: An octree-based PIC-DSMC code for modeling of electron kinetic properties in a plasma plume using MPI-CUDA parallelization. Journal of Computational Physics. 373. 571–604. 42 indexed citations
12.
Tümüklü, Özgür, et al.. (2018). Application of adaptively refined unstructured grids in DSMC to shock wave simulations. Computers & Fluids. 170. 197–212. 14 indexed citations
13.
Jambunathan, Revathi, et al.. (2017). High fidelity and multi-scale thermal response modeling of an Avcoat-like TPS. 55th AIAA Aerospace Sciences Meeting. 2 indexed citations
14.
Tümüklü, Özgür, et al.. (2017). Novel use of AMR Unstructured Grids in DSMC Compressible Flow Simulations. 1 indexed citations
15.
Jambunathan, Revathi & Deborah A. Levin. (2016). Forest of octree DSMC simulations of flow through porous media. AIP conference proceedings. 1786. 50009–50009. 1 indexed citations
16.
Jambunathan, Revathi & Deborah A. Levin. (2016). Grid-Free Octree Approach for Modeling Heat Transfer to Complex Geometries. Journal of Thermophysics and Heat Transfer. 30(2). 379–393. 7 indexed citations
17.
Jambunathan, Revathi, et al.. (2016). Study of Shock-Shock Interactions Using an Unstructured AMR Octree DSMC Code. 54th AIAA Aerospace Sciences Meeting. 3 indexed citations
18.
Jambunathan, Revathi & Deborah A. Levin. (2015). A Hybrid CPU-GPU Parallel Octree Direct Simulation Monte Carlo Approach. 7 indexed citations
19.
Jambunathan, Revathi & Deborah A. Levin. (2014). Gridless Direct Simulation Monte Carlo Approach for Analysis of Fractal-Like Spore Aggregates. 2 indexed citations
20.
Zhang, Qi, Revathi Jambunathan, & Daniel J. Bodony. (2012). Direct Numerical Simulation of Three-Dimensional Honeycomb Liners with Turbulent Boundary Layer. 7 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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