John D. Ramshaw

3.3k citations
107 papers · 2.5k · h-index 30

Impact in

Papers in

John D. Ramshaw

101 papers receiving 2.3k citations

Peers

John D. Ramshaw
Comparison fields: 5 of 97
  • Computational Mechanics 1.1k
  • Fluid Flow and Transfer Processes 280
  • Applied Mathematics 395
  • Statistical and Nonlinear Physics 387
  • Nuclear and High Energy Physics 311
Replace D. I. Meiron with:
D. I. Meiron United States
T. G. Cowling United Kingdom
Jerome J. Erpenbeck United States
S. Heß Germany
Alejandro L. Garcia United States
Pingwen Zhang China
Michel Mareschal Belgium
Hidenori Hasimoto Japan
Charles H. Krüger United States
O. Penrose United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by John D. Ramshaw

Since Specialization
Citations

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

Fields of papers citing papers by John D. Ramshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Ramshaw. 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 John D. Ramshaw. The network helps show where John D. Ramshaw may publish in the future.

Co-authors

The 25 scholars most cited alongside John D. Ramshaw, 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 John D. Ramshaw Line = papers co-authored together John D. Ramshaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990179
2 1978126
3 2002123
4 198596
5 199285
6 199381
7 199373
8 197966
9 199365
10 197664
11 199364
12 200362
13 199860
14 199454
15 198154
16 197253
17 199350
18
Conchas-spray: A computer code for reactive flows with fuel sprays
198248
19 198048
20 198548

About John D. Ramshaw

John D. Ramshaw is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Applied Mathematics, having authored 107 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (31 papers), Computational Fluid Dynamics and Aerodynamics (18 papers), Fluid Dynamics and Turbulent Flows (17 papers), Statistical Mechanics and Entropy (16 papers), Phase Equilibria and Thermodynamics (14 papers), Gas Dynamics and Kinetic Theory (13 papers), Combustion and flame dynamics (13 papers) and Spectroscopy and Quantum Chemical Studies (12 papers). The work is most often cited by research in Computational Mechanics (1.1k citations), Fluid Flow and Transfer Processes (280 citations), Applied Mathematics (395 citations), Statistical and Nonlinear Physics (387 citations) and Nuclear and High Energy Physics (311 citations). John D. Ramshaw has collaborated with scholars based in United States and Australia. Frequent co-authors include C. H. Chang, J.A. Trapp, John K. Dukowicz, A.A. Amsden, T.D. Butler, P.J. O’Rourke, L. D. Cloutman, Peter Amendt, Vincent A. Mousseau and O. L. Landen. Their work appears in journals such as The Journal of Chemical Physics, Journal of Computational Physics, Physics Letters A, Plasma Chemistry and Plasma Processing and Physics of Plasmas.

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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