John D. Ramshaw

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

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 393
  • Statistical and Nonlinear Physics 384
  • Nuclear and High Energy Physics 308
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
Hidenori Hasimoto Japan
Charles H. Krüger United States
John S. Dahler United States
O. Penrose United Kingdom
John D. Ramshaw relative to D. I. Meiron United States D. I. Meiron's profile →
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-authorship network

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
#Work
1 20220
2 20203
3 20204
4 20193
5 20183
6 20184
7 20154
8 20085
9 20039
10 200360
11 199640
12 198618
13 19867
14
KIVA: a comprehensive model for 2D and 3D engine simulations
19850
15 198535
16
Conchas-spray: A computer code for reactive flows with fuel sprays
198248
17 198112
18 198014
19 197253
20 197127

About John D. Ramshaw

John D. Ramshaw is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Fluid Flow and Transfer Processes, Applied Mathematics and Physical and Theoretical Chemistry, 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), Combustion and flame dynamics (13 papers), Gas Dynamics and Kinetic Theory (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 (393 citations), Statistical and Nonlinear Physics (384 citations) and Nuclear and High Energy Physics (308 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 J. D. Colvin. Their work appears in journals such as The Journal of Chemical Physics, Journal of Computational Physics, Plasma Chemistry and Plasma Processing, Physics Letters A and Journal of Non-Equilibrium Thermodynamics.

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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