Differential Equations and Boundary Problems
Differential Equations and Boundary Problems is a research topic within Applied Mathematics. Science Explorer counts 26k research works in it since 1950. 10.2% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the study of nonlocal partial differential equations and boundary value problems, including topics such as solvability, numerical solutions, inverse problems, and the behavior of hyperbolic and parabolic equations with nonlocal conditions. The research also delves into the analysis of integro-differential equations and the properties of Green functions.
- Nonlocal
- Partial Differential Equations
- Boundary Value Problems
- Inverse Problem
- Solvability
- Numerical Solution
- Hyperbolic Equations
- Parabolic Equations
- Integro-Differential Equations
- Green Function
- Research works
- 26k fractional, since 1950
- In the world top 10%
- 2.7k per year above
- Top-10% rate
- 10.2% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +16% the tick is no change
Which countries lead Differential Equations and Boundary Problems research?
By volume, Russia and China publish the most (747 and 467 works in 2022–2025).
By volume, 2022–2025
- 1 Russia 747 works
- 2 China 467 works
- 3 India 234 works
- 4 United States 178 works
- 5 Uzbekistan 178 works
- 6 Ukraine 161 works
- 7 Türkiye 137 works
- 8 Kazakhstan 128 works
- 9 Saudi Arabia 108 works
- 10 Italy 100 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 Differential Equations and Boundary Problems research?
By volume in 2022–2025, Lomonosov Moscow State University publishes the most Differential Equations and Boundary Problems research, followed by Institute of Mathematics and Mathematical Modeling and Academy of Sciences Republic of Uzbekistan.
By volume, 2022–2025
- 1 Lomonosov Moscow State UniversityRussia 78 works
- 2 Institute of Mathematics and Mathematical ModelingKazakhstan 40 works
- 3 Academy of Sciences Republic of UzbekistanUzbekistan 36 works
- 4 Peoples' Friendship University of RussiaRussia 31 works
- 5 Russian Academy of SciencesRussia 29 works
- 6 National University of UzbekistanUzbekistan 28 works
- 7 Université Sultan Moulay SlimaneMorocco 26 works
- 8 St Petersburg UniversityRussia 25 works
- 9 Baku State UniversityAzerbaijan 23 works
- 10 Belgorod National Research UniversityRussia 22 works
Who are the leading researchers in Differential Equations and Boundary Problems?
The most-cited researchers publishing on Differential Equations and Boundary Problems include Stanley Osher, Louis Nirenberg and Ivo Babuška.
- 1 Stanley Osher United States 8k citations
- 2 Louis Nirenberg United States 2.9k citations
- 3 Ivo Babuška United States 2.7k citations
- 4 Dumitru Bǎleanu Türkiye 2.2k citations
- 5 Peter D. Lax United States 2k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Differential Equations and Boundary Problems research done?
The largest centres of Differential Equations and Boundary Problems research in 2022–2025 are Moscow (Russia), Tashkent (Uzbekistan), Baku (Azerbaijan) and Almaty (Kazakhstan). Among places with at least 20 works in it, it is an unusually large share of all research in Beni Mellal, Bukhara and Chelyabinsk.
Largest cities, 2022–2025
- 1 Moscow Russia 269 works
- 2 Tashkent Uzbekistan 102 works
- 3 Baku Azerbaijan 78 works
- 4 Almaty Kazakhstan 72 works
- 5 Kyiv Ukraine 58 works
- 6 Beijing China 52 works
- 7 Novosibirsk Russia 39 works
- 8 Chelyabinsk Russia 36 works
- 9 Saint Petersburg Russia 35 works
- 10 Riyadh Saudi Arabia 33 works
Where it is the local speciality
- Beni MellalMA · 25.8 works49×
- BukharaUZ · 22.1 works41×
- ChelyabinskRU · 36.4 works40×
- BelgorodRU · 23.3 works40×
Location quotient: how much more of its research is in Differential Equations and Boundary Problems than the world average.
Where is the best place to study Differential Equations and Boundary Problems?
Among universities, judged by research, Université Sultan Moulay Slimane, Lomonosov Moscow State University and Qassim University 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Université Sultan Moulay SlimaneMorocco | 64.1 | 29.9% | 48.9× | 26 | — |
| 2 | Lomonosov Moscow State UniversityRussia | 63.7 | 11.8% | 23.9× | 78 | +60.5% |
| 3 | Qassim UniversitySaudi Arabia | 59.7 | 26.3% | 10.4× | 10 | +95.5% |
| 4 | Al-Farabi Kazakh National UniversityKazakhstan | 59.1 | 13.4% | 23.8× | 17 | +642.6% |
| 5 | South Ural State UniversityRussia | 58.0 | 14.4% | 35.0× | 16 | +197.7% |
| 6 | National University of UzbekistanUzbekistan | 57.7 | 11.8% | 48.5× | 28 | +138.0% |
| 7 | Belgorod National Research UniversityRussia | 56.6 | 9.6% | 65.4× | 22 | +245.4% |
| 8 | Peoples' Friendship University of RussiaRussia | 55.7 | 10.7% | 25.4× | 31 | +108.6% |
| 9 | Tashkent State University of EconomicsUzbekistan | 55.1 | 31.0% | 18.1× | 8 | — |
| 10 | Sidi Mohamed Ben Abdellah UniversityMorocco | 54.4 | 12.9% | 12.0× | 12 | +547.2% |
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 Differential Equations and Boundary Problems research growing?
Output in 2018–2022 was 16% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Differential Equations and Boundary Problems.
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.