Norman J. Zabusky

11.5k total citations · 1 hit paper
133 papers, 8.3k citations indexed

About

Norman J. Zabusky is a scholar working on Computational Mechanics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Norman J. Zabusky has authored 133 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Computational Mechanics, 22 papers in Nuclear and High Energy Physics and 20 papers in Statistical and Nonlinear Physics. Recurrent topics in Norman J. Zabusky's work include Fluid Dynamics and Turbulent Flows (65 papers), Computational Fluid Dynamics and Aerodynamics (31 papers) and Laser-Plasma Interactions and Diagnostics (19 papers). Norman J. Zabusky is often cited by papers focused on Fluid Dynamics and Turbulent Flows (65 papers), Computational Fluid Dynamics and Aerodynamics (31 papers) and Laser-Plasma Interactions and Diagnostics (19 papers). Norman J. Zabusky collaborates with scholars based in United States, United Kingdom and Japan. Norman J. Zabusky's co-authors include Martin D. Kruskal, M. V. Melander, Gary S. Deem, J. C. McWilliams, Edward A. Overman, Ravi Samtaney, K.V. Roberts, Richard B. Pelz, D. Silver and F. W. Perkins and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Norman J. Zabusky

128 papers receiving 7.6k citations

Hit Papers

Interaction of "Solitons" in a Collisionless Plasma and t... 1965 2026 1985 2005 1965 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norman J. Zabusky United States 44 3.1k 2.7k 2.0k 1.1k 1.0k 133 8.3k
Richard Fowler United States 14 2.2k 0.7× 1.6k 0.6× 993 0.5× 435 0.4× 485 0.5× 39 6.8k
U. Frisch France 50 2.6k 0.8× 8.6k 3.1× 1.1k 0.6× 4.2k 3.8× 1.8k 1.8× 144 17.1k
Darryl D. Holm United States 45 6.8k 2.2× 2.7k 1.0× 808 0.4× 893 0.8× 735 0.7× 262 11.6k
Gregory Falkovich Israel 40 1.1k 0.4× 3.1k 1.1× 1.7k 0.9× 1.0k 0.9× 954 0.9× 142 7.1k
P. G. Drazin United Kingdom 29 1.4k 0.5× 2.3k 0.9× 607 0.3× 989 0.9× 1.6k 1.6× 73 6.5k
Hassan Aref United States 37 2.4k 0.8× 2.8k 1.0× 512 0.3× 492 0.4× 607 0.6× 111 7.2k
K. J. Whiteman United Kingdom 6 1.9k 0.6× 1.3k 0.5× 841 0.4× 409 0.4× 374 0.4× 11 5.5k
Tudor S. Raţiu Switzerland 40 4.2k 1.3× 1.6k 0.6× 680 0.3× 1.4k 1.2× 208 0.2× 206 10.6k
Angelo Vulpiani Italy 49 8.3k 2.7× 2.1k 0.8× 1.7k 0.9× 667 0.6× 1.1k 1.0× 301 13.8k
Alan C. Newell United States 54 9.3k 3.0× 1.4k 0.5× 4.9k 2.5× 892 0.8× 634 0.6× 179 15.0k

Countries citing papers authored by Norman J. Zabusky

Since Specialization
Citations

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

Fields of papers citing papers by Norman J. Zabusky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norman J. Zabusky. 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 Norman J. Zabusky. The network helps show where Norman J. Zabusky may publish in the future.

Co-authorship network of co-authors of Norman J. Zabusky

This figure shows the co-authorship network connecting the top 25 collaborators of Norman J. Zabusky. A scholar is included among the top collaborators of Norman J. Zabusky 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 Norman J. Zabusky. Norman J. Zabusky 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.
Zabusky, Norman J. & Robert M. Miura. (2007). Martin David Kruskal. Physics Today. 60(5). 82–83.
2.
Zabusky, Norman J., et al.. (2006). Measures of chaos and equipartition in integrable and nonintegrable lattices. Chaos An Interdisciplinary Journal of Nonlinear Science. 16(1). 13130–13130. 7 indexed citations
3.
Zhang, Shuang, Jian Chen, Norman J. Zabusky, & Gaozhu Peng. (2003). Turbulent decay and mixing of accelerated inhomogeneous flows via a feature based analysis. APS. 56.
4.
Gupta, Sandeep, et al.. (2003). Shock interaction with a heavy gas cylinder: Emergence of vortex bilayers and vortex-accelerated baroclinic circulation generation. Laser and Particle Beams. 21(3). 443–448. 10 indexed citations
5.
Zabusky, Norman J. & Sandeep Gupta. (2002). Shock Gaseous Cylinder Interactions: Secondary Baroclinic Circulation Generation, Instability and Vortex projectiles.. APS Division of Fluid Dynamics Meeting Abstracts. 55. 1 indexed citations
6.
Zhang, Shuang, Manish Parashar, & Norman J. Zabusky. (2001). GrACE-PPM: A distributed dynamic adaptive mesh CFD Environment for accelerated inhomogeneous compressible flows. APS. 54.
7.
Samtaney, Ravi, Jaideep Ray, & Norman J. Zabusky. (1998). Baroclinic circulation generation on shock accelerated slow/fast gas interfaces. Physics of Fluids. 10(5). 1217–1230. 51 indexed citations
8.
Zabusky, Norman J., et al.. (1997). Vortical Projectiles from Shock-Bubble Interactions.. APS Division of Fluid Dynamics Meeting Abstracts. 1 indexed citations
9.
Orszag, Steven A. & Norman J. Zabusky. (1993). High-performance computing and physics. Physics Today. 46(3). 22–23. 3 indexed citations
10.
Zabusky, Norman J. & D. Silver. (1992). Case study: visualizing classical problems in CFD. IEEE Visualization. 436–440. 5 indexed citations
11.
Silver, D., Mingchen Gao, & Norman J. Zabusky. (1991). Visualizing casual effects in 4D space-time vector fields. IEEE Visualization. 12–16. 7 indexed citations
12.
Zabusky, Norman J. & M. V. Melander. (1989). Three-dimensional vortex tube reconnection: Morphology for orthogonally-offset tubes. Physica D Nonlinear Phenomena. 37(1-3). 555–562. 42 indexed citations
13.
Shariff, Karim, Anthony Leonard, Norman J. Zabusky, & Joel H. Ferziger. (1988). Acoustics and dynamics of coaxial interacting vortex rings. Fluid Dynamics Research. 3(1-4). 337–343. 45 indexed citations
14.
Winkler, Karl-Heinz A., et al.. (1987). A Numerical Laboratory. Physics Today. 40(10). 28–37. 58 indexed citations
15.
Flierl, Glenn R., Paola Malanotte‐Rizzoli, & Norman J. Zabusky. (1987). Nonlinear Waves and Coherent Vortex Structures in Barotropic β-plane Jets. Journal of Physical Oceanography. 17(9). 1408–1438. 67 indexed citations
16.
Overman, Edward A., Norman J. Zabusky, & S. L. Ossakow. (1983). Ionospheric plasma cloud dynamics via regularized contour dynamics. I. Stability and nonlinear evolution of one-contour models. The Physics of Fluids. 26(4). 1139–1153. 29 indexed citations
17.
Zabusky, Norman J.. (1981). RECENT DEVELOPMENTS IN CONTOUR DYNAMICS FOR THE EULER EQUATIONS*. Annals of the New York Academy of Sciences. 373(1). 160–170. 22 indexed citations
18.
Zabusky, Norman J.. (1981). Computational synergetics and mathematical innovation. Journal of Computational Physics. 43(2). 195–249. 89 indexed citations
19.
Deem, Gary S. & Norman J. Zabusky. (1978). Vortex Waves: Stationary "VStates," Interactions, Recurrence, and Breaking. Physical Review Letters. 40(13). 859–862. 214 indexed citations
20.
Zabusky, Norman J.. (1968). Topics in nonlinear physics : proceedings of the Physics Session, International School of Nonlinear Mathematics and Physics. A NATO Advanced Study Institute, Max-Planck-Institute for Physics and Astrophysics, Munich, 1966. Springer eBooks. 1 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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