J.S. Saltzman

730 citations
4 papers · 528 · h-index 4

Impact in

    • Computational Fluid Dynamics and Aerodynamics
    • Fluid Dynamics and Turbulent Flows
    • Advanced Numerical Methods in Computational Mathematics
    • Lattice Boltzmann Simulation Studies
    • Gas Dynamics and Kinetic Theory

Papers in

    • Computational Fluid Dynamics and Aerodynamics 3
    • Advanced Numerical Methods in Computational Mathematics 1
    • Fluid Dynamics and Turbulent Flows 1
    • Gas Dynamics and Kinetic Theory 2

J.S. Saltzman

4 papers receiving 493 citations

Peers

J.S. Saltzman
Comparison fields: 5 of 55
  • Computational Mechanics 315
  • Applied Mathematics 105
  • Geophysics 88
  • Computer Graphics and Computer-Aided Design 16
  • Mechanics of Materials 106
Replace G. Chesshire with:
G. Chesshire United States
Igor Men’shov Russia
Г П Прокопов Slovakia
D. J. Hill United States
A. Kluwick Austria
Richard B. Pember United States
Ellis Cumberbatch United States
Robert H. Nichols United States
V. P. Korobeĭnikov Russia
J. J. Gottlieb Canada
J.S. Saltzman relative to G. Chesshire United States G. Chesshire's profile →
Citations per field
00.5×4.6×
G. Chesshire · 1×
Citations per year

Countries citing papers authored by J.S. Saltzman

Since Specialization
Citations

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

Fields of papers citing papers by J.S. Saltzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside J.S. Saltzman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J.S. Saltzman Line = papers co-authored together J.S. Saltzman links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 1994225
2 1990157
3 1994116
4 199430

About J.S. Saltzman

J.S. Saltzman is a scholar working on Computational Mechanics, Applied Mathematics, Computer Networks and Communications, Astronomy and Astrophysics and Mechanics of Materials, having authored 4 papers that have together received 528 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (3 papers), Gas Dynamics and Kinetic Theory (2 papers), Advanced Data Storage Technologies (1 paper), Hydraulic Fracturing and Reservoir Analysis (1 paper), Rock Mechanics and Modeling (1 paper), Advanced Numerical Methods in Computational Mathematics (1 paper), Fluid Dynamics and Turbulent Flows (1 paper) and Solar and Space Plasma Dynamics (1 paper). The work is most often cited by research in Computational Mechanics (315 citations), Applied Mathematics (105 citations), Geophysics (88 citations), Computer Graphics and Computer-Aided Design (16 citations) and Mechanics of Materials (106 citations). J.S. Saltzman has collaborated with scholars based in United States. Frequent co-authors include Marsha Berger, John B. Bell, Robert L. Kranz and J. D. Blacic. Their work appears in journals such as Applied Numerical Mathematics, SIAM Journal on Scientific Computing, International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts and Journal of Computational Physics.

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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