M.E. Hubbard

1.6k total citations
56 papers, 1.2k citations indexed

About

M.E. Hubbard is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, M.E. Hubbard has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computational Mechanics, 12 papers in Computational Theory and Mathematics and 8 papers in Mechanics of Materials. Recurrent topics in M.E. Hubbard's work include Advanced Numerical Methods in Computational Mathematics (23 papers), Computational Fluid Dynamics and Aerodynamics (23 papers) and Fluid Dynamics and Turbulent Flows (16 papers). M.E. Hubbard is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (23 papers), Computational Fluid Dynamics and Aerodynamics (23 papers) and Fluid Dynamics and Turbulent Flows (16 papers). M.E. Hubbard collaborates with scholars based in United Kingdom, United States and France. M.E. Hubbard's co-authors include Pilar García‐Navarro, Nicholas Dodd, M. J. Baines, Peter K. Jimack, Helen M. Byrne, Nikolaos Nikiforakis, A. Priestley, Reuben D. O’Dea, Philip L. Roe and Donald L. Brown and has published in prestigious journals such as Nature Communications, Journal of Computational Physics and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

M.E. Hubbard

56 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.E. Hubbard United Kingdom 17 732 307 122 104 103 56 1.2k
J. W. Dold United Kingdom 23 974 1.3× 171 0.6× 367 3.0× 61 0.6× 95 0.9× 55 1.7k
Didier Bresch France 25 1.4k 1.8× 101 0.3× 60 0.5× 208 2.0× 75 0.7× 107 2.5k
Jacques Sainte-Marie France 17 276 0.4× 101 0.3× 154 1.3× 14 0.1× 27 0.3× 46 881
Mutsuto Kawahara Japan 29 1.5k 2.0× 110 0.4× 142 1.2× 8 0.1× 241 2.3× 205 2.6k
C. Macaskill Australia 20 288 0.4× 118 0.4× 61 0.5× 15 0.1× 92 0.9× 69 1.1k
John Miles United States 24 563 0.8× 257 0.8× 376 3.1× 9 0.1× 57 0.6× 92 2.0k
Andreas Meister Germany 17 358 0.5× 45 0.1× 11 0.1× 70 0.7× 35 0.3× 88 1.0k
Joanna Szmelter United Kingdom 15 942 1.3× 274 0.9× 33 0.3× 3 0.0× 105 1.0× 44 1.3k
Nadeem A. Malik Saudi Arabia 10 492 0.7× 67 0.2× 58 0.5× 29 0.3× 43 0.4× 34 812
Yekaterina Epshteyn United States 15 590 0.8× 89 0.3× 15 0.1× 211 2.0× 154 1.5× 44 922

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-authorship network of co-authors of M.E. Hubbard

This figure shows the co-authorship network connecting the top 25 collaborators of M.E. Hubbard. A scholar is included among the top collaborators of M.E. Hubbard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.E. Hubbard. M.E. Hubbard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hubbard, M.E., et al.. (2025). Nano-engineered thin-film thermoelectric materials enable practical solid-state refrigeration. Nature Communications. 16(1). 4421–4421. 5 indexed citations
2.
Jones, Nia, Lopa Leach, Neele Dellschaft, et al.. (2024). The effects of maternal flow on placental diffusion‐weighted MRI and intravoxel incoherent motion parameters. Magnetic Resonance in Medicine. 93(4). 1629–1641. 1 indexed citations
3.
Houston, Paul, et al.. (2024). Iterative solution methods for high-order/hp–DGFEM approximation of the linear Boltzmann transport equation. Computers & Mathematics with Applications. 166. 37–49. 2 indexed citations
4.
Houston, Paul, et al.. (2024). Efficient High-Order Space-Angle-Energy Polytopic Discontinuous Galerkin Finite Element Methods for Linear Boltzmann Transport. Journal of Scientific Computing. 100(2). 52–52. 3 indexed citations
5.
Hubbard, M.E., et al.. (2022). COVID-19-induced psoriatic arthritis: a case report. Therapeutic Advances in Chronic Disease. 13. 374147909–374147909. 8 indexed citations
6.
Hawkins‐Daarud, Andrea, M.E. Hubbard, Ruman Rahman, et al.. (2020). Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populations. Mathematical Biosciences & Engineering. 17(5). 4905–4941. 6 indexed citations
7.
Walkley, Mark A., et al.. (2019). An efficient numerical algorithm for a multiphase tumour model. Computers & Mathematics with Applications. 78(8). 2734–2745. 1 indexed citations
8.
Jové, Maria, John Spencer, M.E. Hubbard, et al.. (2019). Cellular Uptake and Efflux of Palbociclib In Vitro in Single Cell and Spheroid Models. Journal of Pharmacology and Experimental Therapeutics. 370(2). 242–251. 7 indexed citations
9.
Kannan, Pavitra, et al.. (2017). Bayesian Calibration, Validation and Uncertainty Quantification for Predictive Modelling of Tumour Growth: A Tutorial. Bulletin of Mathematical Biology. 79(4). 939–974. 31 indexed citations
10.
Brown, Donald L., et al.. (2017). Effective equations governing an active poroelastic medium. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 473(2198). 20160755–20160755. 40 indexed citations
11.
Hubbard, M.E.. (2016). Barometer Rising: The Cartagena Protocol on Biosafety as a Model For Holistic International Regulation of Ocean Fertilization Projects and Other Forms of Geoengineering. William and Mary environmental law and policy review. 40(2). 591. 1 indexed citations
12.
Chandler, James H., David Head, M.E. Hubbard, et al.. (2016). The impact of electrode resistance on the biogalvanic characterisation technique. Physiological Measurement. 38(2). 101–115. 2 indexed citations
13.
Hibberd, S., et al.. (2016). Inertial effects on thin-film wave structures with imposed surface shear on an inclined plane. Physica D Nonlinear Phenomena. 325. 86–97. 16 indexed citations
14.
Hubbard, M.E., et al.. (2014). Nonlinear multigrid methods for second order differential operators with nonlinear diffusion coefficient. Computers & Mathematics with Applications. 68(12). 1619–1634. 17 indexed citations
15.
Hubbard, M.E. & Helen M. Byrne. (2012). Multiphase modelling of vascular tumour growth in two spatial dimensions. Journal of Theoretical Biology. 316. 70–89. 49 indexed citations
16.
Hubbard, M.E.. (2008). Discontinuous fluctuation distribution. Journal of Computational Physics. 227(24). 10125–10147. 9 indexed citations
17.
Baines, M. J., M.E. Hubbard, & Peter K. Jimack. (2005). A moving mesh finite element algorithm for fluid flow problems with moving boundaries. International Journal for Numerical Methods in Fluids. 47(10-11). 1077–1083. 9 indexed citations
18.
Hubbard, M.E.. (1999). Multidimensional Slope Limiters for MUSCL-Type Finite Volume Schemes on Unstructured Grids. Journal of Computational Physics. 155(1). 54–74. 154 indexed citations
19.
García‐Navarro, Pilar, M.E. Hubbard, & A. Priestley. (1995). Accurate flux vector splitting for shocks and shear layers. Journal of Computational Physics. 121(1). 27 indexed citations
20.
Hubbard, M.E., et al.. (1976). Closed loop control of lean fuel-air ratios using a temperature compensated zirconia oxygen sensor. SAE Paper 760287. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5 indexed citations

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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