Neville J. Ford
- Modeling and Simulation top 0.01%
- Fractional Differential Equations Solutions 54
- Numerical Analysis top 0.05%
- Differential Equations and Numerical Methods 53
- Numerical methods for differential equations 40
- Iterative Methods for Nonlinear Equations 13
- Applied Mathematics top 0.1%
- Nonlinear Differential Equations Analysis 15
- Differential Equations and Boundary Problems 6
- Statistical and Nonlinear Physics top 0.2%
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- Advanced Mathematical Modeling in Engineering 5
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- Nanofluid Flow and Heat Transfer 4
- Co-authors
- Kai DiethelmAlan D. FreedM. Luísa MorgadoYubin YanYu. LuchkoJingyu XiaoMagda RebeloJohn T. Edwards
- Journals
- Journal of Computational and Applied Mathematics (22 papers)Fractional Calculus and Applied Analysis (7 papers)Applied Numerical Mathematics (6 papers)
- Partner nations
- United KingdomPortugalGermany
In The Last Decade
Neville J. Ford
88 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Modeling and Simulation 6.5k
- Numerical Analysis 4.0k
- Applied Mathematics 2.3k
- Statistical and Nonlinear Physics 1.7k
- Control and Systems Engineering 1.0k
Countries citing papers authored by Neville J. Ford
This map shows the geographic impact of Neville J. Ford'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 Neville J. Ford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neville J. Ford more than expected).
Fields of papers citing papers by Neville J. Ford
This network shows the impact of papers produced by Neville J. Ford. 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 Neville J. Ford. The network helps show where Neville J. Ford may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Neville J. Ford, 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 | 2014 | 26 | |
| 2 | 2012 | 131 | |
| 3 | 2012 | 47 | |
| 4 | 2011 | 4 | |
| 5 | 2010 | 11 | |
| 6 | 2010 | 4 | |
| 7 | 2010 | 11 | |
| 8 | 2008 | 51 | |
| 9 | 2008 | 0 | |
| 10 | 2008 | 8 | |
| 11 | 2008 | 21 | |
| 12 | 2008 | 178 | |
| 13 | 2006 | 1 | |
| 14 | 2005 | 111 | |
| 15 | 2005 | 2 | |
| 16 | 2004 | 5 | |
| 17 | 2004 | 41 | |
| 18 | 2002 | 158 | |
| 19 | Analysis of Fractional Differential Equationsbreakdown → | 2002 | 2542 |
| 20 | 2000 | 8 |
About Neville J. Ford
Neville J. Ford is a scholar working on Numerical Analysis, Modeling and Simulation, Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 91 papers that have together received 7.9k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (54 papers), Differential Equations and Numerical Methods (53 papers), Numerical methods for differential equations (40 papers), Nonlinear Differential Equations Analysis (15 papers), Iterative Methods for Nonlinear Equations (13 papers), Differential Equations and Boundary Problems (6 papers), Advanced Mathematical Modeling in Engineering (5 papers) and Nanofluid Flow and Heat Transfer (4 papers). The work is most often cited by research in Modeling and Simulation (6.5k citations), Numerical Analysis (4.0k citations), Applied Mathematics (2.3k citations), Statistical and Nonlinear Physics (1.7k citations) and Control and Systems Engineering (1.0k citations). Neville J. Ford has collaborated with scholars based in United Kingdom, Portugal and Germany. Frequent co-authors include Kai Diethelm, Alan D. Freed, M. Luísa Morgado, Yubin Yan, Yu. Luchko, Jingyu Xiao, Magda Rebelo, John T. Edwards, Pedro M. Lima and Christopher Baker. Their work appears in journals such as Journal of Computational and Applied Mathematics, Fractional Calculus and Applied Analysis, Applied Numerical Mathematics, Computational Methods in Applied Mathematics and Numerical Algorithms.
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.