M. J. Baines
- Computational Mechanics top 1%
- Advanced Numerical Methods in Computational Mathematics 25
- Computational Fluid Dynamics and Aerodynamics 19
- Fluid Dynamics and Turbulent Flows 9
- Lattice Boltzmann Simulation Studies 3
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods 5
- Applied Mathematics top 5%
- Gas Dynamics and Kinetic Theory 4
- Astronomy and Astrophysics top 10%
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- Advanced Mathematical Modeling in Engineering 7
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- Electromagnetic Simulation and Numerical Methods 6
M. J. Baines
59 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computational Mechanics 763
- Numerical Analysis 143
- Applied Mathematics 143
- Computer Graphics and Computer-Aided Design 44
- Astronomy and Astrophysics 187
Countries citing papers authored by M. J. Baines
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
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
The 25 scholars most cited alongside M. J. Baines, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 3 | |
| 2 | 2017 | 9 | |
| 3 | 2016 | 13 | |
| 4 | 2015 | 26 | |
| 5 | 2015 | 3 | |
| 6 | 2013 | 7 | |
| 7 | 2012 | 22 | |
| 8 | 2009 | 24 | |
| 9 | 2005 | 9 | |
| 10 | 2003 | 40 | |
| 11 | 2002 | 7 | |
| 12 | 2001 | 1 | |
| 13 | 1999 | 13 | |
| 14 | 1992 | 4 | |
| 15 | 1991 | 13 | |
| 16 | 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 | 1988 | 1 |
| 17 | 1987 | 132 | |
| 18 | Multigrid and conjugate gradient accelerations of basic iterative methods | 1986 | 3 |
| 19 | 1978 | 25 | |
| 20 | 1965 | 185 |
About M. J. Baines
M. J. Baines is a scholar working on Computational Mechanics, Numerical Analysis and Applied Mathematics, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (25 papers), Computational Fluid Dynamics and Aerodynamics (19 papers), Fluid Dynamics and Turbulent Flows (9 papers), Advanced Mathematical Modeling in Engineering (7 papers), Electromagnetic Simulation and Numerical Methods (6 papers), Differential Equations and Numerical Methods (5 papers), Gas Dynamics and Kinetic Theory (4 papers) and Lattice Boltzmann Simulation Studies (3 papers). The work is most often cited by research in Computational Mechanics (763 citations), Numerical Analysis (143 citations) and Applied Mathematics (143 citations). M. J. Baines has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent 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. Their work appears in journals such as Nature, Physical Review Letters and Journal of Computational Physics.
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.