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Mathematical Analysis and Transform Methods

Mathematical Analysis and Transform Methods is a research topic within Applied Mathematics. Science Explorer counts 16k research works in it since 1950. 15.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores advances in the analysis and applications of the Fractional Fourier Transform, including topics such as frames, wavelets, sampling, signal processing, shearlets, modulation spaces, Gabor frames, uncertainty principles, Dunkl transform, and spectral measures.

  • Frames
  • Wavelets
  • Sampling
  • Signal Processing
  • Shearlets
  • Modulation Spaces
  • Gabor Frames
  • Uncertainty Principles
  • Dunkl Transform
  • Spectral Measures
Research works
16k
fractional, since 1950
In the world top 10%
2.6k
per year above
Top-10% rate
15.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-5%
the tick is no change

Which countries lead Mathematical Analysis and Transform Methods research?

By volume, China and India publish the most (424 and 248 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 424 works
  2. 2 India 248 works
  3. 3 United States 216 works
  4. 4 Russia 144 works
  5. 5 Germany 87 works
  6. 6 Italy 87 works
  7. 7 Morocco 75 works
  8. 8 France 71 works
  9. 9 Japan 57 works
  10. 10 Türkiye 53 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: 29.0%India: 17.0%United States: 14.8%Russia: 9.8%6 others listed: 29.4%29%largest
China424 · 29.0%India248 · 17.0%United States216 · 14.8%Russia144 · 9.8%6 others listed430 · 29.4%

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

Which institutions lead Mathematical Analysis and Transform Methods research?

By volume in 2022–2025, University of Hassan II Casablanca publishes the most Mathematical Analysis and Transform Methods research, followed by University of Vienna and St Petersburg University.

Who are the leading researchers in Mathematical Analysis and Transform Methods?

The most-cited researchers publishing on Mathematical Analysis and Transform Methods include David L. Donoho, Richard G. Baraniuk and Yonina C. Eldar.

  1. 1 David L. Donoho United States 4.7k citations
  2. 2 Richard G. Baraniuk United States 4.4k citations
  3. 3 Yonina C. Eldar Israel 4k citations

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

Where is Mathematical Analysis and Transform Methods research done?

The largest centres of Mathematical Analysis and Transform Methods research in 2022–2025 are Beijing (China), Moscow (Russia), Vienna (Austria) and New Delhi (India). Among places with at least 20 works in it, it is an unusually large share of all research in Casablanca, Srinagar and Tunis.

Largest cities, 2022–2025

  1. 1 Beijing China 75 works
  2. 2 Moscow Russia 56 works
  3. 3 Vienna Austria 31 works
  4. 4 New Delhi India 28 works
  5. 5 Tunis Tunisia 28 works
  6. 6 Guangzhou China 27 works
  7. 7 Nanjing China 26 works
  8. 8 Casablanca Morocco 25 works
  9. 9 Srinagar India 23 works
  10. 10 Changsha China 20 works

Where it is the local speciality

  1. CasablancaMA · 24.9 works25×
  2. SrinagarIN · 22.6 works23×
  3. TunisTN · 27.6 works19×
← less than its size predictsmore →

Location quotient: how much more of its research is in Mathematical Analysis and Transform Methods than the world average.

See Mathematical Analysis and Transform Methods on the map

Where is the best place to study Mathematical Analysis and Transform Methods?

Among universities, judged by research, University of Hassan II Casablanca, Taibah University and Islamic University of Science and Technology 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 30.86%fractional works in this node (log) →share in the world top 10% →University of Hassan II Casablanca: 25, 18.3%Taibah University: 10, 26.4%Islamic University of Science and Technology: 12, 51.4%Indian Institute of Technology Dhanbad: 13, 38.7%Tunis El Manar University: 11, 22.2%Banaras Hindu University: 14, 23.6%University of Vienna: 19, 22.4%Politecnico di Milano: 10, 56.6%University of Kashmir: 13, 27.0%Tunis University: 8, 22.0%Islamic University o…Indian Institute of …Taibah UniversityUniversity of Hassan…
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 University of Hassan II CasablancaMorocco 70.818.3%43.5×25 +373.9%
2 Taibah UniversitySaudi Arabia 67.726.4%30.1×10 +264.7%
3 Islamic University of Science and TechnologyIndia 66.951.4%160.9×12
4 Indian Institute of Technology DhanbadIndia 65.738.7%28.4×13 +136.5%
5 Tunis El Manar UniversityTunisia 63.122.2%29.5×11 +210.1%
6 Banaras Hindu UniversityIndia 61.023.6%13.2×14 +179.0%
7 University of ViennaAustria 60.122.4%17.5×19 +5.5%
8 Politecnico di MilanoItaly 57.656.6%6.6×10 +40.3%
9 University of KashmirIndia 55.427.0%39.5×13 +82.9%
10 Tunis UniversityTunisia 49.122.0%41.6×8 +39.4%

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 Analysis and Transform Methods research growing?

Output in 2018–2022 was 5% lower than in 2013–2017, peaking in 2024. The fastest-growing topics are Mathematical Analysis and Transform Methods.

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.