Mathematical and Computational Methods
Mathematical and Computational Methods is a research topic within Modeling and Simulation. Science Explorer counts 1.1k research works in it since 1950. 5.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers a wide range of topics related to mathematical modeling, including interpolation, partial fractions, differential equations, numerical analysis, computational mathematics, algorithms, nonlinear dynamics, and mathematical education. The papers explore applications of mathematical modeling in various fields such as physics, engineering, economics, and law.
- Mathematica
- Interpolation
- Partial Fractions
- Differential Equations
- Numerical Analysis
- Modeling
- Algorithm
- Computational Mathematics
- Nonlinear Dynamics
- Mathematical Education
- Research works
- 1.1k fractional, since 1950
- In the world top 10%
- 60 per year above
- Top-10% rate
- 5.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +15% the tick is no change
Which countries lead Mathematical and Computational Methods research?
By volume, the United States and the United Kingdom publish the most (42 and 11 works in 2022–2025).
By volume, 2022–2025
- 1 United States 42 works
- 2 United Kingdom 11 works
- 3 Russia 7 works
- 4 Germany 7 works
- 5 Mexico 5 works
- 6 India 5 works
- 7 Canada 4 works
- 8 Brazil 4 works
- 9 China 4 works
- 10 France 3 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Mathematical and Computational Methods research?
By volume in 2022–2025, Occidental College publishes the most Mathematical and Computational Methods research, followed by London School of Economics and Political Science and Moscow State University of Civil Engineering.
By volume, 2022–2025
- 1 Occidental CollegeUnited States 10 works
- 2 London School of Economics and Political ScienceUnited Kingdom 3 works
- 3 Moscow State University of Civil EngineeringRussia 2 works
- 4 Secretariat of Public EducationMexico 2 works
- 5 Bournemouth UniversityUnited Kingdom 2 works
- 6 University of UtahUnited States 2 works
- 7 Pomona CollegeUnited States 2 works
- 8 University of IbadanNigeria 1 works
- 9 ACT FoundationUnited States 1 works
- 10 University of OxfordUnited Kingdom 1 works
Who are the leading researchers in Mathematical and Computational Methods?
The most-cited researchers publishing on Mathematical and Computational Methods include Bertrand Russell.
- 1 Bertrand Russell Canada 1.1k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Mathematical and Computational Methods research done?
The largest centres of Mathematical and Computational Methods research in 2022–2025 are Los Angeles (United States), London (United Kingdom), Moscow (Russia) and Mexico City (Mexico).
Largest cities, 2022–2025
- 1 Los Angeles United States 10 works
- 2 London United Kingdom 5 works
- 3 Moscow Russia 4 works
- 4 Mexico City Mexico 3 works
- 5 Claremont United States 2 works
- 6 New York United States 2 works
- 7 Poole United Kingdom 2 works
- 8 Ibadan Nigeria 2 works
- 9 Salt Lake City United States 2 works
- 10 Beijing China 1 works
Where is the best place to study Mathematical and Computational Methods?
Among universities, judged by research, Occidental College score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Occidental CollegeUnited States | 6.0 | 3.4% | 4509.0× | 10 | — |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Mathematical and Computational Methods research growing?
Output in 2018–2022 was 15% higher than in 2013–2017, peaking in 2026. The fastest-growing topics are Mathematical and Computational Methods.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.