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Topic · Computer Vision and Pattern Recognition

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. 10.0% 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%
2.5k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+2%
the tick is no change
Largest producer
United States
34% of the 10 largest, 2022-now
Data Visualization and Analytics

Which countries lead Data Visualization and Analytics research?

By volume, the United States and China publish the most (1.2k and 780 works in 2022-now).

By volume, 2022-now

  1. 1 United States 1.2k works
  2. 2 China 780 works
  3. 3 Germany 450 works
  4. 4 India 249 works
  5. 5 United Kingdom 238 works
  6. 6 France 157 works
  7. 7 Canada 150 works
  8. 8 Japan 132 works
  9. 9 Italy 128 works
  10. 10 Brazil 121 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: 33.9%China: 21.4%Germany: 12.4%India: 6.8%6 others listed: 25.4%34%largest
United States1,233 · 33.9%China780 · 21.4%Germany450 · 12.4%India249 · 6.8%6 others listed925 · 25.4%

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

Which institutions lead Data Visualization and Analytics research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most Data Visualization and Analytics research, followed by Chinese Academy of Sciences and Zhejiang University.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 52 works
  2. 2 Chinese Academy of SciencesChina 30 works
  3. 3 Zhejiang UniversityChina 29 works
  4. 4 University of StuttgartGermany 26 works
  5. 5 TU WienAustria 26 works
  6. 6 Tsinghua UniversityChina 26 works
  7. 7 Hong Kong University of Science and TechnologyChina 25 works
  8. 8 University of WashingtonUnited States 23 works
  9. 9 Carnegie Mellon UniversityUnited States 22 works
  10. 10 Tongji UniversityChina 21 works

Who are the leading researchers in Data Visualization and Analytics?

The most-cited researchers publishing on Data Visualization and Analytics include Geoffrey E. Hinton, Karl John Friston and James Thomas.

  1. 1 Geoffrey E. Hinton Canada 454k citations
  2. 2 Karl John Friston United Kingdom 310k citations
  3. 3 James Thomas United Kingdom 242k citations

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

What are the most cited papers in Data Visualization and Analytics?

The most cited paper in Data Visualization and Analytics is "Silhouettes: A graphical aid to the interpretation and validation of cluster analysis" (Peter J. Rousseeuw, 1987), with 21,780 citations. Next come "Software survey: VOSviewer, a computer program for bibliometric mapping" (21,265) and "bibliometrix : An R-tool for comprehensive science mapping analysis" (15,825).

Most cited papers
#PaperReleasedCitations
1 Silhouettes: A graphical aid to the interpretation and validation of cluster analysis Peter J. Rousseeuw · Journal of Computational and Applied Mathematics Open access Nov 1987 21,780
2 Software survey: VOSviewer, a computer program for bibliometric mapping Nees Jan van Eck, Ludo Waltman · Scientometrics Open access 30 Dec 2009 21,265
3 bibliometrix : An R-tool for comprehensive science mapping analysis Massimo Aria, Corrado Cuccurullo · Journal of Informetrics 12 Sep 2017 15,825
4 Gephi: An Open Source Software for Exploring and Manipulating Networks Mathieu Bastian, Sébastien Heymann, Mathieu Jacomy · Proceedings of the International AAAI Conference on Web and Social Media Conference paperOpen access 19 Mar 2009 11,573
5 The Psychophysics Toolbox. David H. Brainard · PubMed 1997 9,189
All 100 most cited papers, with filters and sorting

Where is Data Visualization and Analytics research done?

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

Largest cities, 2022-now

  1. 1 BeijingChina 161 works
  2. 2 ShanghaiChina 80 works
  3. 3 HangzhouChina 62 works
  4. 4 TokyoJapan 59 works
  5. 5 LondonUnited Kingdom 54 works
  6. 6 ViennaAustria 53 works
  7. 7 ParisFrance 48 works
  8. 8 Hong KongChina 47 works
  9. 9 New YorkUnited States 43 works
  10. 10 SeattleUnited States 38 works

Where it is the local speciality

  1. DarmstadtDE · 23.0 works9.7×
← less than its size predicts1×more →

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, University of Washington and Tongji 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%mean 25.41%fractional works in this field (log) →share of work in the world top 10% →Fudan UniversityHong Kong University…University of Washin…Tongji University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Hong Kong University of Science and TechnologyChina 96.030.1%13.9×25 +73.9%
2University of WashingtonUnited States 71.025.8%4.7×23 -5.4%
3Tongji UniversityChina 70.524.4%3.1×21 +92.2%
4Fudan UniversityChina 70.034.2%2.2×15 +294.1%
5Tsinghua UniversityChina 68.823.3%2.6×26 +30.4%
6Northwestern UniversityUnited States 65.328.3%3.4×12 +33.4%
7Zhejiang UniversityChina 65.221.1%2.5×29 -4.4%
8Carnegie Mellon UniversityUnited States 63.818.4%12.2×22 +0.6%
9Harvard UniversityUnited States 62.722.5%1.4×19 +64.6%
10University of Hong KongChina 60.426.0%2.7×11 +116.0%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Data Visualization and Analytics, country by country

Is Data Visualization and Analytics research growing?

Output in 2022-2025 was 2% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Data Visualization and Analytics.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Data Visualization and Analytics as a percentage of every work published that year, 0.020% in 2024.

still counting0.020%0.040%Data Visualization and Analytics0.023% in 202519801990200020102020

Fractional works of Data Visualization and Analytics over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Data Visualization and Analytics10.0% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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