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Topic · Information Systems

Technology and Data Analysis

Technology and Data Analysis is a research topic within Information Systems. Science Explorer counts 9.3k research works in it since 1950. 10.7% 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 the analysis and application of big data in various industries, including smart factory implementation, quality management, text mining, social media analysis, health innovation, and customer satisfaction. The papers also explore the use of machine learning and data analysis techniques in different sectors such as manufacturing systems, healthcare, and transportation. The research emphasizes the growing importance of big data analysis for decision-making and innovation across diverse fields.

  • Big Data
  • Data Analysis
  • Smart Factory
  • Quality Management
  • Text Mining
  • Social Media
  • Manufacturing Systems
  • Health Innovation
  • Customer Satisfaction
  • Machine Learning
Research works
9.3k
fractional, since 1950
In the world top 10%
989
per year above
Top-10% rate
10.7%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+16%
the tick is no change

Which countries lead Technology and Data Analysis research?

By volume, China and India publish the most (761 and 544 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 761 works
  2. 2 India 544 works
  3. 3 Indonesia 539 works
  4. 4 South Korea 387 works
  5. 5 United States 267 works
  6. 6 Japan 173 works
  7. 7 Malaysia 88 works
  8. 8 ?? 61 works
  9. 9 Türkiye 58 works
  10. 10 Philippines 50 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: 26.0%India: 18.6%Indonesia: 18.4%South Korea: 13.2%6 others listed: 23.8%26%largest
China761 · 26.0%India544 · 18.6%Indonesia539 · 18.4%South Korea387 · 13.2%6 others listed696 · 23.8%

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

Which institutions lead Technology and Data Analysis research?

By volume in 2022–2025, Telkom University publishes the most Technology and Data Analysis research, followed by Binus University and Saveetha University.

By volume, 2022–2025

  1. 1 Telkom University Indonesia 36 works
  2. 2 Binus University Indonesia 34 works
  3. 3 Saveetha University India 22 works
  4. 4 SRM Institute of Science and Technology India 17 works
  5. 5 Mangalore University India 15 works
  6. 6 University of Indonesia Indonesia 14 works
  7. 7 Soongsil University South Korea 14 works
  8. 8 Bandung Institute of Technology Indonesia 13 works
  9. 9 Sungkyunkwan University South Korea 12 works
  10. 10 Sepuluh Nopember Institute of Technology Indonesia 11 works

Where is Technology and Data Analysis research done?

The largest centres of Technology and Data Analysis research in 2022–2025 are Beijing (China), Seoul (South Korea), Jakarta (Indonesia) and Chennai (India). Among places with at least 20 works in it, it is an unusually large share of all research in Busan and Daejeon.

Largest cities, 2022–2025

  1. 1 Beijing China 154 works
  2. 2 Seoul South Korea 149 works
  3. 3 Jakarta Indonesia 91 works
  4. 4 Chennai India 83 works
  5. 5 Bandung Indonesia 78 works
  6. 6 Tokyo Japan 67 works
  7. 7 Shanghai China 51 works
  8. 8 Daejeon South Korea 44 works
  9. 9 Guangzhou China 39 works
  10. 10 Wuhan China 38 works

Where it is the local speciality

  1. BusanKR · 26.3 works8.1×
  2. DaejeonKR · 44.0 works6.7×
← less than its size predicts1×more →

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

See Technology and Data Analysis on the map

Where is the best place to study Technology and Data Analysis?

Among universities, judged by research, Binus University, Telkom University and Saveetha 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 24.03%fractional works in this node (log) →share in the world top 10% →Binus University: 34, 21.7%Telkom University: 36, 15.5%Saveetha University: 22, 25.6%Symbiosis International University: 8, 42.9%Soongsil University: 14, 6.2%Amrita Vishwa Vidyapeetham: 11, 40.3%Vellore Institute of Technology University: 10, 45.0%Pukyong National University: 8, 18.5%Mangalore University: 15, 2.2%University of Technology Malaysia: 8, 22.4%Symbiosis Internatio…Saveetha UniversityBinus UniversityTelkom University
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
1Binus University Indonesia 65.521.7%17.2×34 —
2Telkom University Indonesia 61.515.5%18.8×36 —
3Saveetha University India 57.425.6%6.5×22 —
4Symbiosis International University India 54.842.9%7.0×8 —
5Soongsil University South Korea 53.56.2%36.9×14 +143.3%
6Amrita Vishwa Vidyapeetham India 52.340.3%5.9×11 —
7Vellore Institute of Technology University India 44.545.0%2.7×10 —
8Pukyong National University South Korea 44.518.5%14.8×8 -9.8%
9Mangalore University India 42.52.2%33.7×15 —
10University of Technology Malaysia Malaysia 41.122.4%4.9×8 —

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 Technology and Data Analysis research growing?

Output in 2018–2022 was 16% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Technology and Data 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.