David Levermore

776 citations
4 papers · 530 · h-index 4

Impact in

    • Gas Dynamics and Kinetic Theory
    • Navier-Stokes equation solutions
    • Lattice Boltzmann Simulation Studies
    • Fluid Dynamics and Turbulent Flows
    • Computational Fluid Dynamics and Aerodynamics
    • Fluid Dynamics and Vibration Analysis

Papers in

David Levermore

4 papers receiving 464 citations

Peers

David Levermore
Comparison fields: 5 of 47
  • Applied Mathematics 279
  • Computational Mechanics 424
  • Mathematical Physics 62
  • Statistical and Nonlinear Physics 64
  • Modeling and Simulation 17
Replace Trygve K. Karper with:
Trygve K. Karper Norway
Markus Schmuck United Kingdom
Burak Aksoylu United States
N. Papamichael United Kingdom
Bernard Hanouzet France
Gaetano Fichera Italy
Mohamed M. S. Nasser Saudi Arabia
Simon Labrunie France
Elías Wegert Germany
David Levermore relative to Trygve K. Karper Norway Trygve K. Karper's profile →
Citations per field
00.5×1.5×
Trygve K. Karper · 1×
Citations per year

Countries citing papers authored by David Levermore

Since Specialization
Citations

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

Fields of papers citing papers by David Levermore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside David Levermore, 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 David Levermore Line = papers co-authored together David Levermore links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 1991302
2 1991172
3 199153
4
A Knudsen layer theory for lattice gases
19903

About David Levermore

David Levermore is a scholar working on Computational Mechanics, Applied Mathematics, Condensed Matter Physics, Mathematical Physics and Statistical and Nonlinear Physics, having authored 4 papers that have together received 530 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (2 papers), Molecular Junctions and Nanostructures (1 paper), Electronic and Structural Properties of Oxides (1 paper), Theoretical and Computational Physics (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper), Numerical methods in engineering (1 paper), Advanced Mathematical Modeling in Engineering (1 paper) and Numerical methods in inverse problems (1 paper). The work is most often cited by research in Applied Mathematics (279 citations), Computational Mechanics (424 citations), Mathematical Physics (62 citations), Statistical and Nonlinear Physics (64 citations) and Modeling and Simulation (17 citations). David Levermore has collaborated with scholars based in United States and France. Frequent co-authors include Claude Bardos, Dominique d’Humières and Shi Jin. Their work appears in journals such as Physica D Nonlinear Phenomena, Journal of Statistical Physics, Transport Theory and Statistical Physics and STIN.

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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