Bernard Grossman

2.5k total citations
89 papers, 1.8k citations indexed

About

Bernard Grossman is a scholar working on Computational Mechanics, Statistics, Probability and Uncertainty and Nuclear and High Energy Physics. According to data from OpenAlex, Bernard Grossman has authored 89 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Mechanics, 23 papers in Statistics, Probability and Uncertainty and 21 papers in Nuclear and High Energy Physics. Recurrent topics in Bernard Grossman's work include Computational Fluid Dynamics and Aerodynamics (26 papers), Probabilistic and Robust Engineering Design (23 papers) and Fluid Dynamics and Turbulent Flows (20 papers). Bernard Grossman is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (26 papers), Probabilistic and Robust Engineering Design (23 papers) and Fluid Dynamics and Turbulent Flows (20 papers). Bernard Grossman collaborates with scholars based in United States, Italy and France. Bernard Grossman's co-authors include William H. Mason, Raphael T. Haftka, Layne T. Watson, A. Dadone, Sidney Coleman, Anthony Giunta, Thomas W. Kephart, James Stasheff, Vladimir Balabanov and Chuck Baker and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

Bernard Grossman

86 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Grossman United States 24 469 462 457 447 335 89 1.8k
B. Grossman United States 23 69 0.1× 305 0.7× 802 1.8× 520 1.2× 306 0.9× 81 1.5k
Robert D. Ryne United States 18 386 0.8× 178 0.4× 52 0.1× 586 1.3× 230 0.7× 62 1.3k
Ryan G. McClarren United States 19 182 0.4× 78 0.2× 578 1.3× 316 0.7× 102 0.3× 107 1.2k
Kyoko Makino United States 17 188 0.4× 509 1.1× 97 0.2× 284 0.6× 158 0.5× 76 1.3k
Roger P. Pawlowski United States 22 84 0.2× 411 0.9× 835 1.8× 289 0.6× 96 0.3× 68 1.8k
A. E. Bryson United States 22 44 0.1× 185 0.4× 485 1.1× 1.3k 3.0× 72 0.2× 80 2.8k
John E. Bussoletti United States 15 123 0.3× 153 0.3× 582 1.3× 263 0.6× 88 0.3× 31 929
Frances Y. Kuo Australia 24 27 0.1× 397 0.9× 441 1.0× 106 0.2× 987 2.9× 69 2.3k
Clint Scovel United States 18 49 0.1× 183 0.4× 402 0.9× 49 0.1× 96 0.3× 38 1.6k
Trond Steihaug Norway 12 26 0.1× 1.3k 2.7× 789 1.7× 67 0.1× 58 0.2× 61 2.4k

Countries citing papers authored by Bernard Grossman

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Grossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Grossman

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Grossman. A scholar is included among the top collaborators of Bernard Grossman 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 Bernard Grossman. Bernard Grossman 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.
Leifsson, Leifur, William H. Mason, Joseph A. Schetz, Raphael T. Haftka, & Bernard Grossman. (2006). Multidisciplinary Design Optimization of Low-Airframe-Noise Transport Aircraft. 44th AIAA Aerospace Sciences Meeting and Exhibit. 23 indexed citations
2.
Hosder, Serhat, Bernard Grossman, Raphael T. Haftka, William H. Mason, & Layne T. Watson. (2005). Quantitative relative comparison of CFD simulation uncertainties for a transonic diffuser problem. Computers & Fluids. 35(10). 1444–1458. 8 indexed citations
3.
Dadone, A. & Bernard Grossman. (2004). Far-field Coarsening and Mesh Adaptation for Inviscid Flows on Cartesian Grids. 42nd AIAA Aerospace Sciences Meeting and Exhibit. 2 indexed citations
4.
Hosder, Serhat, Joseph A. Schetz, Bernard Grossman, & William H. Mason. (2004). Airframe Noise Modeling Appropriate for Multidisciplinary Design and Optimization. 42nd AIAA Aerospace Sciences Meeting and Exhibit. 19 indexed citations
5.
Haftka, Raphael T., et al.. (2002). Probabilistic Modeling of Errors from Structural Optimization Based on Multiple Starting Points. Optimization and Engineering. 3(4). 415–430. 4 indexed citations
6.
Baker, Chuck, Bernard Grossman, Raphael T. Haftka, William H. Mason, & Layne T. Watson. (2002). High-Speed Civil Transport Design Space Exploration Using Aerodynamic Response Surface Approximations. Journal of Aircraft. 39(2). 215–220. 11 indexed citations
7.
Gern, Frank H., Andy Ko, Joseph A. Schetz, et al.. (2000). Multidisciplinary design optimization of a strut-braced wing transonic transport. 38th Aerospace Sciences Meeting and Exhibit. 26 indexed citations
8.
Baker, Chuck, Bernard Grossman, William H. Mason, Layne T. Watson, & Raphael T. Haftka. (1998). HSCT configuration design space exploration using aerodynamic response surface approximations. 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. 7 indexed citations
9.
Grossman, Bernard, William H. Mason, Layne T. Watson, & Raphael T. Haftka. (1998). Variable-Complexity Multidisciplinary Optimization on Parallel Computers.
10.
Mason, William H., et al.. (1997). VARIABLE-COMPLEXITY RESPONSE SURFACE APPROXIMATIONS FOR AERODYNAMIC PARAMETERS IN HSCT OPTIMIZATION. 8 indexed citations
11.
Grossman, Bernard, et al.. (1997). Response Surface Approximations for Aerodynamic Parameters in High Speed Civil Transport Optimization. 1 indexed citations
12.
Balabanov, Vladimir, et al.. (1996). Certification of a CFD code for high-speed civil transport design optimization. 34th Aerospace Sciences Meeting and Exhibit. 5 indexed citations
13.
Giunta, Anthony, et al.. (1995). A Coarse Grained Variable-Complexity Approach to MDO for HSCT Design.. PPSC. 96–101. 3 indexed citations
14.
Giunta, Anthony, Robert Narducci, Bernard Grossman, et al.. (1995). Variable-complexity response surface aerodynamic design of an HSCT wing. 30 indexed citations
15.
Baulieu, Laurent & Bernard Grossman. (1987). A proposal for an effective interacting field theory of open and closed strings. Physics Letters B. 187(3-4). 261–266. 2 indexed citations
16.
Chapline, George & Bernard Grossman. (1984). Dimensional reduction example with three families of low mass fermions. Physics Letters B. 143(1-3). 161–164. 13 indexed citations
17.
Grossman, Bernard & Stuart Samuel. (1983). Universality in SU(2) lattice gauge theory. Physics Letters B. 120(4-6). 383–386. 20 indexed citations
18.
Grossman, Bernard. (1977). Zero Energy Solutions of the Dirac Equation in an n-Pseudoparticle Field. Physics Letters B. 1 indexed citations
19.
Rubin, S. G. & Bernard Grossman. (1971). Viscous flow along a corner: Numerical solution of the corner layer equations. Quarterly of Applied Mathematics. 29(2). 169–186. 45 indexed citations
20.
Grossman, Bernard. (1969). Viscous Corner Flows.

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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