Science Explorer Interactive view Map

Data Visualization and Analytics

Data Visualization and Analytics is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 25k research works in it since 1950. 18.6% 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 information visualization, visual data mining, and visual analytics. It includes research on graph visualization, interactive visualization techniques, spatial analysis, user interaction with visualizations, and the exploration of big data. The papers also discuss visual representation of multidimensional data, data mining methods, and the challenges associated with visualizing large datasets.

  • Information Visualization
  • Visual Analytics
  • Data Exploration
  • Graph Visualization
  • Interactive Visualization
  • Spatial Analysis
  • Data Mining
  • Visual Representation
  • User Interaction
  • Big Data
Research works
25k
fractional, since 1950
In the world top 10%
4.6k
per year above
Top-10% rate
18.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+2%
the tick is no change

Which countries lead Data Visualization and Analytics research?

By volume, the United States and China publish the most (1k and 601 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1k works
  2. 2 China 601 works
  3. 3 Germany 384 works
  4. 4 United Kingdom 201 works
  5. 5 India 186 works
  6. 6 France 139 works
  7. 7 Canada 127 works
  8. 8 Japan 109 works
  9. 9 Italy 109 works
  10. 10 Brazil 108 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.

United States: 34.5%China: 20.1%Germany: 12.8%United Kingdom: 6.7%6 others listed: 25.9%34%largest
United States1,033 · 34.5%China601 · 20.1%Germany384 · 12.8%United Kingdom201 · 6.7%6 others listed777 · 25.9%

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

Which institutions lead Data Visualization and Analytics research?

By volume in 2022–2025, Zhejiang University publishes the most Data Visualization and Analytics research, followed by TU Wien and University of Stuttgart.

By volume, 2022–2025

  1. 1 Zhejiang University China 24 works
  2. 2 TU Wien Austria 23 works
  3. 3 University of Stuttgart Germany 23 works
  4. 4 Hong Kong University of Science and Technology Hong Kong 22 works
  5. 5 Tsinghua University China 21 works
  6. 6 University of Washington United States 20 works
  7. 7 Centre National de la Recherche Scientifique France 19 works
  8. 8 Carnegie Mellon University United States 18 works
  9. 9 University of Konstanz Germany 18 works
  10. 10 Tongji University China 17 works

Who are the leading researchers in Data Visualization and Analytics?

The most-cited researchers publishing on Data Visualization and Analytics include Hans‐Peter Kriegel and Jiawei Han.

  1. 1 Hans‐Peter Kriegel 5.7k citations
  2. 2 Jiawei Han 5.2k citations

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

Where is Data Visualization and Analytics research done?

The largest centres of Data Visualization and Analytics research in 2022–2025 are Beijing (China), Shanghai (China), Tokyo (Japan) and Hangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Darmstadt and Stuttgart.

Largest cities, 2022–2025

  1. 1 Beijing China 134 works
  2. 2 Shanghai China 67 works
  3. 3 Tokyo Japan 53 works
  4. 4 Hangzhou China 52 works
  5. 5 Vienna Austria 47 works
  6. 6 London United Kingdom 46 works
  7. 7 Paris France 42 works
  8. 8 Hong Kong China 40 works
  9. 9 New York United States 35 works
  10. 10 Seattle United States 33 works

Where it is the local speciality

  1. DarmstadtDE · 21.1 works10×
  2. StuttgartDE · 28.4 works8.0×
← less than its size predictsmore →

Location quotient: how much more of its research is in Data Visualization and Analytics than the world average.

See Data Visualization and Analytics on the map

Where is the best place to study Data Visualization and Analytics?

Among universities, judged by research, Hong Kong University of Science and Technology, Northeastern University and Carnegie Mellon 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%10%20%30%mean 18.78%fractional works in this node (log) →share in the world top 10% →Hong Kong University of Science and Technology: 22, 27.5%Northeastern University: 17, 17.5%Carnegie Mellon University: 18, 21.0%TU Wien: 23, 8.3%University of Stuttgart: 23, 10.1%Zhejiang University: 24, 21.6%University of Washington: 20, 23.1%Tongji University: 18, 28.0%University of Konstanz: 18, 6.2%Tsinghua University: 21, 24.5%Hong Kong University…Carnegie Mellon Univ…Northeastern Univers…TU Wien
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
1Hong Kong University of Science and Technology Hong Kong 85.127.5%14.0×22 +92.3%
2Northeastern University United States 62.917.5%13.4×17 +54.3%
3Carnegie Mellon University United States 61.921.0%11.1×18 -22.1%
4TU Wien Austria 60.38.3%18.1×23 +13.6%
5University of Stuttgart Germany 59.110.1%16.0×23 +28.1%
6Zhejiang University China 58.821.6%3.0×24 +158.8%
7University of Washington United States 56.123.1%5.0×20 +44.3%
8Tongji University China 54.028.0%3.4×18 +79.6%
9University of Konstanz Germany 51.66.2%33.1×18 -21.5%
10Tsinghua University China 51.324.5%2.6×21 +63.7%

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 Data Visualization and Analytics research growing?

Output in 2018–2022 was 2% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Data Visualization and Analytics.

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.