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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. 10.1% 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%
937
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+137%
the tick is no change
Largest producer
China
26% of the 10 largest, 2022-now
Technology and Data Analysis

Which countries lead Technology and Data Analysis research?

By volume, China and India publish the most (785 and 548 works in 2022-now).

By volume, 2022-now

  1. 1 China 785 works
  2. 2 India 548 works
  3. 3 Indonesia 543 works
  4. 4 South Korea 391 works
  5. 5 United States 274 works
  6. 6 Japan 176 works
  7. 7 Malaysia 89 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: 26.4%India: 18.4%Indonesia: 18.3%South Korea: 13.1%6 others listed: 23.8%26%largest
China785 · 26.4%India548 · 18.4%Indonesia543 · 18.3%South Korea391 · 13.1%6 others listed707 · 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-now, Telkom University publishes the most Technology and Data Analysis research, followed by Binus University and Saveetha University.

By volume, 2022-now

  1. 1 Telkom UniversityIndonesia 36 works
  2. 2 Binus UniversityIndonesia 35 works
  3. 3 Saveetha UniversityIndia 23 works
  4. 4 SRM Institute of Science and TechnologyIndia 18 works
  5. 5 Mangalore UniversityIndia 15 works
  6. 6 University of IndonesiaIndonesia 14 works
  7. 7 Chinese Academy of SciencesChina 14 works
  8. 8 Soongsil UniversitySouth Korea 14 works
  9. 9 Bandung Institute of TechnologyIndonesia 13 works
  10. 10 Sungkyunkwan UniversitySouth Korea 12 works

Who are the leading researchers in Technology and Data Analysis?

The most-cited researchers publishing on Technology and Data Analysis include Christian M. Ringle and Muhammad Aziz Rahman.

  1. 1 Christian M. Ringle Germany 215k citations
  2. 2 Muhammad Aziz Rahman Australia 160k 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 Technology and Data Analysis?

The most cited paper in Technology and Data Analysis is "A new criterion for assessing discriminant validity in variance-based structural equation modeling" (Jörg Henseler, Christian M. Ringle, Marko Sarstedt, 2014), with 37,002 citations. Next come "A primer on partial least squares structural equation modeling (PLS-SEM)" (19,067) and "Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures" (9,050).

Most cited papers
#PaperReleasedCitations
1 A new criterion for assessing discriminant validity in variance-based structural equation modeling Jörg Henseler, Christian M. Ringle, Marko Sarstedt · Journal of the Academy of Marketing Science Open access 21 Aug 2014 37,002
2 A primer on partial least squares structural equation modeling (PLS-SEM) Adrián Leguina · International Journal of Research & Method in Education 21 Jan 2015 19,067
3 Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures Karin Schermelleh-Engel, Helfried Moosbrugger, Hans Georg Müller Open access 2003 9,050
4 The Effects of Personalization and Familiarity on Trust and Adoption of Recommendation Agents1 Komiak, Izak Benbasat · MIS Quarterly Dec 2006 1,368
5 Spatial Data Analysis by Example Timothy C. Coburn · Technometrics Feb 1991 924
All 98 most cited papers, with filters and sorting

Where is Technology and Data Analysis research done?

The largest centres of Technology and Data Analysis research in 2022-now 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-now

  1. 1 BeijingChina 155 works
  2. 2 SeoulSouth Korea 151 works
  3. 3 JakartaIndonesia 92 works
  4. 4 ChennaiIndia 84 works
  5. 5 BandungIndonesia 78 works
  6. 6 TokyoJapan 69 works
  7. 7 ShanghaiChina 51 works
  8. 8 DaejeonSouth Korea 45 works
  9. 9 GuangzhouChina 40 works
  10. 10 WuhanChina 39 works

Where it is the local speciality

  1. BusanKR · 26.3 works8.0×
  2. DaejeonKR · 45.0 works6.9×
← 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, Saveetha University, Telkom University and Binus 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 17.78%fractional works in this field (log) →share of work in the world top 10% →Amrita Vishwa Vidyap…Saveetha UniversityBinus UniversityTelkom 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
1Saveetha UniversityIndia 68.822.2%7.4×22 -
2Telkom UniversityIndonesia 62.19.1%21.1×36 +868.3%
3Binus UniversityIndonesia 61.99.7%19.9×35 +891.1%
4Amrita Vishwa VidyapeethamIndia 61.331.1%6.7×11 -
5Symbiosis International UniversityIndia 58.431.0%8.0×9 -
6Vellore Institute of Technology UniversityIndia 55.834.2%3.1×10 +117.8%
7University of Technology MalaysiaMalaysia 53.016.2%5.5×8 +183.4%
8SRM Institute of Science and TechnologyIndia 47.89.0%5.6×18 +1058.1%
9Soongsil UniversitySouth Korea 43.78.6%41.5×14 +14.2%
10Mangalore UniversityIndia 42.36.7%37.9×15 +1020.8%

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 Technology and Data Analysis, country by country

Is Technology and Data Analysis research growing?

Output in 2022-2025 was 137% higher than in 2018-2021, peaking in 2024. The fastest-growing topics are Technology and Data Analysis.

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 Technology and Data Analysis as a percentage of every work published that year, 0.029% in 2024.

still counting0.010%0.020%0.030%Technology and Data Analysis0.019% in 202519801990200020102020

Fractional works of Technology and Data Analysis 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%Technology and Data Analysis10.6% 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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