M. J. Baines

2.3k total citations · 1 hit paper
61 papers, 1.7k citations indexed

About

M. J. Baines is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, M. J. Baines has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computational Mechanics, 11 papers in Computational Theory and Mathematics and 9 papers in Numerical Analysis. Recurrent topics in M. J. Baines's work include Advanced Numerical Methods in Computational Mathematics (25 papers), Computational Fluid Dynamics and Aerodynamics (19 papers) and Fluid Dynamics and Turbulent Flows (9 papers). M. J. Baines is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (25 papers), Computational Fluid Dynamics and Aerodynamics (19 papers) and Fluid Dynamics and Turbulent Flows (9 papers). M. J. Baines collaborates with scholars based in United Kingdom, United States and Belgium. M. J. Baines's co-authors include Michael A. Preece, K. W. Morton, M.E. Hubbard, I. P. Williams, Andy Wathen, Peter K. Jimack, Nancy Nichols, Philip L. Roe, Paul Samuels and Iain Macdonald and has published in prestigious journals such as Nature, Physical Review Letters and Journal of Computational Physics.

In The Last Decade

M. J. Baines

59 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A new family of mathematical models describing the human growth curve

1978 384 citations M. J. Baines et al. profile →

Peers

M. J. Baines

CM

AA

MM

NA

AM

Tong Zhang China

Frederick S. Sherman United States

David Acheson United Kingdom

Philip Hall United Kingdom

D. A. Spence United Kingdom

Philip Broadbridge Australia

D. Andrew S. Rees United Kingdom

Karl‐Heinz Hoffmann Germany

Christopher K. R. T. Jones United States

Matthias Langer Germany

Tong Zhang China

M. J. Baines

1.0k ×1.3

CM

122 ×0.7

AA

79 ×0.4

MM

221 ×1.5

NA

900 ×6.3

AM

Citations per year, relative to M. J. Baines M. J. Baines (= 1×) peers Tong Zhang

Countries citing papers authored by M. J. Baines

Since Specialization

Citations

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

Fields of papers citing papers by M. J. Baines

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. J. Baines

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Baines. A scholar is included among the top collaborators of M. J. Baines 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. J. Baines. M. J. Baines is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Baines, M. J., et al.. (2018). A moving-mesh finite difference scheme that preserves scaling symmetry for a class of nonlinear diffusion problems. Journal of Computational and Applied Mathematics. 340. 380–389. 3 indexed citations

2.

Bonan, Bertrand, et al.. (2017). Data assimilation for moving mesh methods with an application to ice sheet modelling. Nonlinear processes in geophysics. 24(3). 515–534. 9 indexed citations

3.

Bonan, Bertrand, et al.. (2016). A moving-point approach to model shallow ice sheets: a study case with radially symmetrical ice sheets. The cryosphere. 10(1). 1–14. 13 indexed citations

4.

Baines, M. J., et al.. (2015). A finite difference moving mesh method based on conservation for moving boundary problems. Journal of Computational and Applied Mathematics. 288. 1–17. 26 indexed citations

5.

Baines, M. J.. (2015). Explicit Time-Stepping for Moving Meshes. CentAUR (University of Reading). 48(2). 93–105. 3 indexed citations

6.

Baines, M. J., et al.. (2013). A moving mesh approach for modelling avascular tumour growth. Applied Numerical Mathematics. 72. 99–114. 7 indexed citations

7.

Baines, M. J., et al.. (2012). Superfast Nonlinear Diffusion: Capillary Transport in Particulate Porous Media. Physical Review Letters. 109(21). 214501–214501. 22 indexed citations

8.

Smith, Polly J., Sarah L. Dance, M. J. Baines, Nancy Nichols, & Tania R. Scott. (2009). Variational data assimilation for parameter estimation: application to a simple morphodynamic model. Ocean Dynamics. 59(5). 697–708. 24 indexed citations

9.

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

10.

Pyle, D.L., et al.. (2003). Numerical study of 2D heat transfer in a scraped surface heat exchanger. Computers & Fluids. 33(5-6). 869–880. 40 indexed citations

11.

Johnson, T. C., M. J. Baines, & P. K. Sweby. (2002). A box scheme for transcritical flow. International Journal for Numerical Methods in Engineering. 55(8). 895–912. 7 indexed citations

12.

Baines, M. J.. (2001). Moving finite element, least squares, and finite volume approximations of steady and time-dependent PDEs in multidimensions. Journal of Computational and Applied Mathematics. 128(1-2). 363–381. 1 indexed citations

13.

Baines, M. J.. (1999). Least squares and approximate equidistribution in multidimensions. Numerical Methods for Partial Differential Equations. 15(5). 605–615. 13 indexed citations

14.

Baines, M. J., et al.. (1992). Unsteady 1-D flows with steep waves in plant channels: the use of Roe's upwind TVD difference scheme. Advances in Water Resources. 15(2). 89–94. 4 indexed citations

15.

Baines, M. J.. (1991). An Analysis of the Moving Finite-Element Procedure. SIAM Journal on Numerical Analysis. 28(5). 1323–1349. 13 indexed citations

16.

Morton, K. W. & M. J. Baines. (1988). Numerical methods for fluid dynamics III : based on the proceedings of a conference organized by the Institute for Computational Fluid Dynamics of the Universities of Oxford and Reading in association with the Institute of Mathematics and Its Applications on numerical methods for fluid dynamics, held in Oxford in March 1988. Clarendon Press eBooks. 1 indexed citations

17.

Morton, K. W., et al.. (1987). Numerical Methods for Fluid Dynamics II.. Mathematics of Computation. 49(179). 308–308. 132 indexed citations

18.

Sonneveld, P., et al.. (1986). Multigrid and conjugate gradient accelerations of basic iterative methods. Data Archiving and Networked Services (DANS). 3 indexed citations

19.

Morton, K. W., et al.. (1978). A Finite Element Moving Boundary Computation with an Adaptive Mesh. IMA Journal of Applied Mathematics. 22(4). 467–477. 25 indexed citations

20.

Baines, M. J., et al.. (1965). Resistance to the Motion of a Small Sphere Moving Through a Gas. Monthly Notices of the Royal Astronomical Society. 130(1). 63–74. 185 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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