S. S. Ravindran

1.8k total citations
54 papers, 1.3k citations indexed

About

S. S. Ravindran is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Control and Systems Engineering. According to data from OpenAlex, S. S. Ravindran has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computational Mechanics, 16 papers in Statistical and Nonlinear Physics and 13 papers in Control and Systems Engineering. Recurrent topics in S. S. Ravindran's work include Advanced Numerical Methods in Computational Mathematics (27 papers), Computational Fluid Dynamics and Aerodynamics (20 papers) and Model Reduction and Neural Networks (16 papers). S. S. Ravindran is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (27 papers), Computational Fluid Dynamics and Aerodynamics (20 papers) and Model Reduction and Neural Networks (16 papers). S. S. Ravindran collaborates with scholars based in United States, Canada and India. S. S. Ravindran's co-authors include Kazufumi Ito, Lisheng Hou, Kikukatsu Ito, Alok Majumdar, Yue Yan, Max Gunzburger, James C. Turner and Parthasarathi Ghosh and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Physics of Fluids.

In The Last Decade

S. S. Ravindran

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. S. Ravindran United States 15 881 711 217 214 211 54 1.3k
Jeff Borggaard United States 24 1.3k 1.5× 983 1.4× 656 3.0× 252 1.2× 190 0.9× 127 2.0k
Matthew J. Zahr United States 17 570 0.6× 775 1.1× 343 1.6× 80 0.4× 132 0.6× 45 1.1k
Karen Veroy Germany 14 738 0.8× 1.0k 1.5× 457 2.1× 83 0.4× 258 1.2× 49 1.3k
Kevin Carlberg United States 18 850 1.0× 1.5k 2.0× 656 3.0× 159 0.7× 240 1.1× 33 1.7k
Siva Nadarajah Canada 22 1.5k 1.7× 261 0.4× 171 0.8× 57 0.3× 70 0.3× 96 1.7k
Dominique Pelletier Canada 18 929 1.1× 194 0.3× 146 0.7× 98 0.5× 56 0.3× 92 1.1k
Michel Bergmann France 14 767 0.9× 599 0.8× 198 0.9× 53 0.2× 68 0.3× 44 985
Peter Sturdza United States 10 359 0.4× 102 0.1× 148 0.7× 83 0.4× 74 0.4× 15 807
Julien Cortial France 8 499 0.6× 820 1.2× 401 1.8× 139 0.6× 168 0.8× 16 1.1k
David J. Lucia United States 13 778 0.9× 810 1.1× 448 2.1× 126 0.6× 37 0.2× 21 1.2k

Countries citing papers authored by S. S. Ravindran

Since Specialization
Citations

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

Fields of papers citing papers by S. S. Ravindran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Ravindran

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Ravindran. A scholar is included among the top collaborators of S. S. Ravindran 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 S. S. Ravindran. S. S. Ravindran 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.
Ravindran, S. S., et al.. (2025). Modeling of unsteady fluid transients induced by sudden valve closure in flow networks. Physics of Fluids. 37(3). 1 indexed citations
2.
3.
Ravindran, S. S.. (2022). Time Adaptive POD Reduced Order Model for Viscous Incompressible Flows. 2022 IEEE 61st Conference on Decision and Control (CDC). 15. 6105–6110.
4.
Ravindran, S. S.. (2020). Penalization of Dirichlet Boundary Control for Nonstationary Magneto-Hydrodynamics. SIAM Journal on Control and Optimization. 58(4). 2354–2382. 1 indexed citations
5.
Ravindran, S. S.. (2019). An efficient long-time stable second-order accurate time-stepping scheme for evolutionary magneto-micropolar flows. Computers & Mathematics with Applications. 79(5). 1302–1320.
6.
Ravindran, S. S.. (2016). Finite element approximation of Dirichlet control using boundary penalty method for unsteady Navier–Stokes equations. ESAIM Mathematical Modelling and Numerical Analysis. 51(3). 825–849. 6 indexed citations
7.
Ravindran, S. S.. (2015). Exact boundary controllability of Galerkin approximations of Navier-Stokes system for soret convection. An International Journal of Optimization and Control Theories & Applications (IJOCTA). 5(2). 41–49. 1 indexed citations
8.
Ravindran, S. S.. (2015). A second‐order backward difference time‐stepping scheme for penalized Navier–Stokes equations modeling filtration through porous media. Numerical Methods for Partial Differential Equations. 32(2). 681–705. 1 indexed citations
9.
Ravindran, S. S.. (2015). An Analysis of the Blended Three-Step Backward Differentiation Formula Time-Stepping Scheme for the Navier-Stokes-Type System Related to Soret Convection. Numerical Functional Analysis and Optimization. 36(5). 658–686. 7 indexed citations
10.
Ravindran, S. S.. (2010). Error analysis for Galerkin POD approximation of the nonstationary Boussinesq equations. Numerical Methods for Partial Differential Equations. 27(6). 1639–1665. 8 indexed citations
11.
Ravindran, S. S.. (2008). Linear feedback control and approximation for a system governed by unsteady MHD equations. Computer Methods in Applied Mechanics and Engineering. 198(3-4). 524–541. 14 indexed citations
12.
Ravindran, S. S.. (2007). STABILIZATION OF NAVIER-STOKES EQUATIONS BY BOUNDARY FEEDBACK. The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology. 288(7). 723–33. 8 indexed citations
13.
Ravindran, S. S.. (2003). Reduced-order adaptive controllers for MHD flows using proper orthogonal decomposition. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). 3. 2454–2459. 3 indexed citations
14.
Ito, Kazufumi & S. S. Ravindran. (2002). A reduced order method for control of fluid flows. Zenodo (CERN European Organization for Nuclear Research). 4. 3705–3710. 2 indexed citations
15.
Ravindran, S. S.. (2002). Adaptive Reduced-Order Controllers for a Thermal Flow System Using Proper Orthogonal Decomposition. SIAM Journal on Scientific Computing. 23(6). 1924–1942. 71 indexed citations
16.
Ito, Kazufumi & S. S. Ravindran. (2002). Reduced order methods for nonlinear infinite dimensional control systems. 3. 2213–2218. 4 indexed citations
17.
Ito, Kikukatsu & S. S. Ravindran. (2001). Reduced Basis Method for Optimal Control of Unsteady Viscous Flows. International journal of computational fluid dynamics. 15(2). 97–113. 49 indexed citations
18.
Ravindran, S. S.. (1999). Proper Orthogonal Decomposition in Optimal Control of Fluids. Missouri medicine. 81(2). 78–80, 85. 55 indexed citations
19.
Ito, Kazufumi & S. S. Ravindran. (1998). A Reduced-Order Method for Simulation and Control of Fluid Flows. Journal of Computational Physics. 143(2). 403–425. 203 indexed citations
20.
Hou, Lisheng, S. S. Ravindran, & Yue Yan. (1997). Numerical Solution of Optimal Distributed Control Problems for Incompressible Flows. International journal of computational fluid dynamics. 8(2). 99–114. 15 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jeff Borggaard Breakdown of academic impact, for papers by Matthew J. Zahr Breakdown of academic impact, for papers by Karen Veroy Breakdown of academic impact, for papers by Kevin Carlberg Breakdown of academic impact, for papers by Siva Nadarajah Breakdown of academic impact, for papers by Dominique Pelletier Breakdown of academic impact, for papers by Michel Bergmann Breakdown of academic impact, for papers by Peter Sturdza Breakdown of academic impact, for papers by Julien Cortial Breakdown of academic impact, for papers by David J. Lucia
Rankless by CCL
2026