M.E. Hubbard

1.7k citations
56 papers · 1.2k · h-index 17

Impact in

    • Computational Fluid Dynamics and Aerodynamics
    • Advanced Numerical Methods in Computational Mathematics
    • Fluid Dynamics and Turbulent Flows
    • Lattice Boltzmann Simulation Studies
    • Mathematical Biology Tumor Growth

Papers in

M.E. Hubbard

56 papers receiving 1.2k citations

Peers

M.E. Hubbard
Comparison fields: 5 of 94
  • Computational Mechanics 731
  • Modeling and Simulation 102
  • Earth-Surface Processes 122
  • Numerical Analysis 95
  • Atmospheric Science 306
Replace J. W. Dold with:
J. W. Dold United Kingdom
Didier Bresch France
Jacques Sainte-Marie France
Mutsuto Kawahara Japan
Andreas Meister Germany
Dmitri Kuzmin Germany
John W. Norbury United States
C. Macaskill Australia
Nadeem A. Malik United Kingdom
Joanna Szmelter United Kingdom
M.E. Hubbard relative to J. W. Dold United Kingdom J. W. Dold's profile →
Citations per field
00.5×3.3×
J. W. Dold · 1×
Citations per year

Countries citing papers authored by M.E. Hubbard

Since Specialization
Citations

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

Fields of papers citing papers by M.E. Hubbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.E. Hubbard. 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 M.E. Hubbard. The network helps show where M.E. Hubbard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000210
2 1999154
3 2002145
4 200457
5 201249
6 201146
7 200342
8 201740
9 201439
10 199532
11 201731
12 200030
13 199729
14
Accurate flux vector splitting for shocks and shear layers
199527
15 201423
16 200518
17 201417
18 201616
19 201715
20 201614

About M.E. Hubbard

M.E. Hubbard is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Mechanics of Materials, Applied Mathematics and Modeling and Simulation, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (23 papers), Advanced Numerical Methods in Computational Mathematics (23 papers), Fluid Dynamics and Turbulent Flows (16 papers), Advanced Mathematical Modeling in Engineering (10 papers), Mathematical Biology Tumor Growth (8 papers), Gas Dynamics and Kinetic Theory (8 papers), Differential Equations and Numerical Methods (6 papers) and Meteorological Phenomena and Simulations (6 papers). The work is most often cited by research in Computational Mechanics (731 citations), Modeling and Simulation (102 citations), Earth-Surface Processes (122 citations), Numerical Analysis (95 citations) and Atmospheric Science (306 citations). M.E. Hubbard has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Pilar García‐Navarro, M. J. Baines, Peter K. Jimack, Helen M. Byrne, Nikolaos Nikiforakis, A. Priestley, Reuben D. O’Dea, Philip L. Roe, Mario Ricchiuto and Donald L. Brown. Their work appears in journals such as Journal of Computational Physics, Computers & Mathematics with Applications, International Journal for Numerical Methods in Fluids, Applied Numerical Mathematics and Computers & Fluids.

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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