S. G. Rubin

2.9k total citations
109 papers, 2.2k citations indexed

About

S. G. Rubin is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, S. G. Rubin has authored 109 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computational Mechanics, 24 papers in Aerospace Engineering and 15 papers in Applied Mathematics. Recurrent topics in S. G. Rubin's work include Fluid Dynamics and Turbulent Flows (63 papers), Computational Fluid Dynamics and Aerodynamics (63 papers) and Advanced Numerical Methods in Computational Mathematics (29 papers). S. G. Rubin is often cited by papers focused on Fluid Dynamics and Turbulent Flows (63 papers), Computational Fluid Dynamics and Aerodynamics (63 papers) and Advanced Numerical Methods in Computational Mathematics (29 papers). S. G. Rubin collaborates with scholars based in United States, Israel and Finland. S. G. Rubin's co-authors include P. K. Khosla, R. A. Graves, T. C. Lin, D. R. Reddy, John C. Tannehill, A. Lin, Bernard Grossman, Robert T. Davis, K. Ramakrishna and A. F. Pal’ and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Annual Review of Fluid Mechanics.

In The Last Decade

S. G. Rubin

105 papers receiving 2.0k citations

Peers

Countries citing papers authored by S. G. Rubin

Since Specialization

Citations

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

Fields of papers citing papers by S. G. Rubin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. G. Rubin

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	On a mechanism of stabilizing turbulent free shear layers in cavity flows 2007 ·Computers & Fluids ·Michael Stanek, Miguel R. Visbal, Donald P. Rizzetta, S. G. Rubin, P. K. Khosla	19
2	On a Mechanism of Stabilizing Turbulent Free Shear Layers in Cavity Flows 2006 ·Michael Stanek, Miguel R. Visbal, Donald P. Rizzetta, S. G. Rubin, P. K. Khosla	2
3	A Solution Strategy Based on Segmented Domain Decomposition Multigrid for Turbomachinery Flows 2001 ·Volume 1: Aircraft Engine; Marine; Turbomachinery; Microturbines and Small Turbomachinery ·M. L. Celestina, John J. Adamczyk, S. G. Rubin	1
4	Pressure based flux-split solutions for incompressible and compressible internal flows 1998 ·Computers & Fluids ·(unknown), S. G. Rubin	2
5	Development and demonstration of a two/three-dimensional coupled flow and aerosol model 1995 ·David P. Brown, S. G. Rubin, Pratim Biswas	7
6	Primitive variable, pressure based flux-split, RNS formulations for incompressible and compressible flows 1995 ·Fluid Dynamics Conference ·(unknown), S. G. Rubin	5
7	A local grid refinement procedure through segmented multigrid domain decomposition for three dimensional flows 1995 ·(unknown), S. G. Rubin	1
8	GABAergic and cholinergic neurons exhibit high-affinity nerve growth factor binding in rat basal forebrain 1989 ·Experimental Neurology ·Cheryl F. Dreyfus, Paulette Bernd, Homero Martı́nez, S. G. Rubin, (unknown)	55
9	Laminar natural convection along vertical corners and rectangular channels 1980 ·K. Ramakrishna, P. K. Khosla, S. G. Rubin	2
10	Boundary-Layer-Induced Secondary Flows on Wing-Body Configurations 1980 ·AIAA Journal ·S. G. Rubin, (unknown)	1
11	Polynomial interpolation methods for viscous flow calculations 1977 ·Journal of Computational Physics ·S. G. Rubin, P. K. Khosla	116
12	Turbulent boundary layers with and without mass injection 1977 ·Computers & Fluids ·S. G. Rubin, P. K. Khosla	7
13	Higher-Order Numerical Solutions Using Cubic Splines 1976 ·AIAA Journal ·S. G. Rubin, P. K. Khosla	89
14	Incompressible Viscous Flow in a Driven Cavity 1975 ·NASA Special Publication ·S. G. Rubin, (unknown)	1
15	A cubic spline approximation for problems in fluid mechanics 1975 ·NASA STI Repository (National Aeronautics and Space Administration) ·S. G. Rubin, R. A. Graves	124
16	Higher-order numerical solutions using cubic splines. [for partial differential equations] 1975 ·NASA Technical Reports Server (NASA) ·S. G. Rubin, P. K. Khosla	2
17	Viscous flow along a corner: Numerical solution of the corner layer equations 1971 ·Quarterly of Applied Mathematics ·S. G. Rubin, Bernard Grossman	45
18	Reply by Author to P. Bradshaw 1969 ·AIAA Journal ·S. G. Rubin	1
19	Incompressible flow along a corner 1966 ·Journal of Fluid Mechanics ·S. G. Rubin	76
20	Magnetogasdynamic channel flows 1965 ·AIAA Journal ·S. G. Rubin	5

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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