M. J. Baines
- Computational Mechanics top 1%
- Astronomy and Astrophysics top 10%
- Mechanics of Materials top 10%
- Numerical Analysis top 5%
- Applied Mathematics top 5%
- Co-authors
- Michael A. PreeceK. W. MortonM.E. HubbardI. P. WilliamsAndy WathenPeter K. JimackNancy NicholsPhilip L. Roe
- Topics
- Advanced Numerical Methods in Computational Mathematics (25 papers)Computational Fluid Dynamics and Aerodynamics (19 papers)Fluid Dynamics and Turbulent Flows (9 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
M. J. Baines
59 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computational Mechanics 763
- Astronomy and Astrophysics 187
- Mechanics of Materials 187
- Numerical Analysis 143
- Applied Mathematics 143
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 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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 13 | |
| 4 | 26 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 24 | |
| 9 | 9 | |
| 10 | 40 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 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 | 1 |
| 17 | 132 | |
| 18 | Multigrid and conjugate gradient accelerations of basic iterative methods | 3 |
| 19 | 25 | |
| 20 | 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) and Fluid Dynamics and Turbulent Flows (9 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.