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Nonlinear Differential Equations Analysis

Nonlinear Differential Equations Analysis is a research topic within Applied Mathematics. Science Explorer counts 28k research works in it since 1950. 16.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the theory and applications of fractional differential equations, covering topics such as boundary value problems, semilinear and impulsive differential equations, existence results, controllability, mild solutions, nonlinear systems, time scales, and functional differential equations.

  • Fractional Differential Equations
  • Boundary Value Problems
  • Semilinear Differential Equations
  • Impulsive Differential Equations
  • Existence Results
  • Controllability
  • Mild Solutions
  • Nonlinear Systems
  • Time Scales
  • Functional Differential Equations
Research works
28k
fractional, since 1950
In the world top 10%
4.5k
per year above
Top-10% rate
16.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+21%
the tick is no change

Which countries lead Nonlinear Differential Equations Analysis research?

By volume, China and India publish the most (1.1k and 463 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.1k works
  2. 2 India 463 works
  3. 3 Saudi Arabia 316 works
  4. 4 Algeria 198 works
  5. 5 Türkiye 179 works
  6. 6 United States 159 works
  7. 7 Morocco 159 works
  8. 8 Russia 129 works
  9. 9 Iran 126 works
  10. 10 Italy 114 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.

China: 36.4%India: 16.0%Saudi Arabia: 10.9%Algeria: 6.8%6 others listed: 29.9%36%largest
China1,054 · 36.4%India463 · 16.0%Saudi Arabia316 · 10.9%Algeria198 · 6.8%6 others listed866 · 29.9%

Shares of the rows listed above, not of the whole node.

Which institutions lead Nonlinear Differential Equations Analysis research?

By volume in 2022–2025, Université Sultan Moulay Slimane publishes the most Nonlinear Differential Equations Analysis research, followed by Vellore Institute of Technology University and King Abdulaziz University.

Who are the leading researchers in Nonlinear Differential Equations Analysis?

The most-cited researchers publishing on Nonlinear Differential Equations Analysis include Jinde Cao, Louis Nirenberg and YangQuan Chen.

  1. 1 Jinde Cao China 4.2k citations
  2. 2 Louis Nirenberg United States 2.9k citations
  3. 3 YangQuan Chen United States 2.4k citations
  4. 4 Dumitru Bǎleanu Türkiye 2.2k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Nonlinear Differential Equations Analysis research done?

The largest centres of Nonlinear Differential Equations Analysis research in 2022–2025 are Riyadh (Saudi Arabia), Beijing (China), Lanzhou (China) and Beni Mellal (Morocco). Among places with at least 20 works in it, it is an unusually large share of all research in Sidi Bel Abbes and Beni Mellal.

Largest cities, 2022–2025

  1. 1 Riyadh Saudi Arabia 89 works
  2. 2 Beijing China 82 works
  3. 3 Lanzhou China 69 works
  4. 4 Beni Mellal Morocco 60 works
  5. 5 Vellore India 58 works
  6. 6 Jeddah Saudi Arabia 54 works
  7. 7 Changsha China 46 works
  8. 8 Shanghai China 45 works
  9. 9 Guangzhou China 44 works
  10. 10 Guiyang China 42 works

Where it is the local speciality

  1. Sidi Bel AbbesDZ · 23.3 works98×
  2. Beni MellalMA · 60.0 works97×
← less than its size predictsmore →

Location quotient: how much more of its research is in Nonlinear Differential Equations Analysis than the world average.

See Nonlinear Differential Equations Analysis on the map

Where is the best place to study Nonlinear Differential Equations Analysis?

Among universities, judged by research, Vellore Institute of Technology University, Prince Sultan University and Prince Sattam Bin Abdulaziz 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.

0%20%40%60%mean 38.63%fractional works in this node (log) →share in the world top 10% →Vellore Institute of Technology University: 55, 55.7%Prince Sultan University: 22, 33.3%Prince Sattam Bin Abdulaziz University: 25, 46.4%Düzce Üniversitesi: 13, 50.4%University of Malakand: 13, 36.6%China Medical University: 26, 33.2%Université Sultan Moulay Slimane: 60, 24.6%King Faisal University: 14, 33.9%Lebanese American University: 8, 44.1%Princess Nourah bint Abdulrahman University: 18, 28.1%Vellore Institute of…Düzce ÜniversitesiPrince Sattam Bin Ab…Prince Sultan Univer…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Vellore Institute of Technology UniversityIndia 79.955.7%12.4×55 +33.8%
2 Prince Sultan UniversitySaudi Arabia 76.933.3%44.8×22 +319.4%
3 Prince Sattam Bin Abdulaziz UniversitySaudi Arabia 75.846.4%21.7×25
4 Düzce ÜniversitesiTürkiye 72.550.4%18.6×13 +550.0%
5 University of MalakandPakistan 71.336.6%59.2×13 +427.4%
6 China Medical UniversityTaiwan 66.533.2%40.9×26
7 Université Sultan Moulay SlimaneMorocco 65.724.6%97.0×60
8 King Faisal UniversitySaudi Arabia 64.833.9%12.9×14 +110.3%
9 Lebanese American UniversityLebanon 64.844.1%16.7×8
10 Princess Nourah bint Abdulrahman UniversitySaudi Arabia 64.728.1%15.4×18 +63.0%

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 Nonlinear Differential Equations Analysis research growing?

Output in 2018–2022 was 21% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Nonlinear Differential Equations Analysis.

19801990200020102020
grewheldshrank

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.