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Information Retrieval and Data Mining

Information Retrieval and Data Mining is a research topic within Information Systems. Science Explorer counts 20k research works in it since 1970. 9.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on information retrieval, data mining techniques, and their applications in various domains such as e-commerce, privacy protection, internet of things, and digital transformation. It covers topics like social network extraction, machine learning, knowledge acceleration, and the use of big data for analysis.

  • Information Retrieval
  • Data Mining
  • Social Network Extraction
  • E-Commerce
  • Privacy Protection
  • Internet of Things
  • Machine Learning
  • Knowledge Acceleration
  • Digital Transformation
  • Big Data
Research works
20k
fractional, since 1970
In the world top 10%
1.8k
per year above
Top-10% rate
9.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+438%
the tick is no change

Which countries lead Information Retrieval and Data Mining research?

By volume, Indonesia and ?? publish the most (8.5k and 369 works in 2022–2025).

By volume, 2022–2025

  1. 1 Indonesia 8.5k works
  2. 2 ?? 369 works
  3. 3 India 173 works
  4. 4 Malaysia 108 works
  5. 5 United States 93 works
  6. 6 Russia 70 works
  7. 7 China 51 works
  8. 8 Philippines 48 works
  9. 9 Canada 27 works
  10. 10 Thailand 17 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.

Indonesia: 89.9%??: 3.9%India: 1.8%Malaysia: 1.1%6 others listed: 3.2%90%largest
Indonesia8,509 · 89.9%??369 · 3.9%India173 · 1.8%Malaysia108 · 1.1%6 others listed306 · 3.2%

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

Which institutions lead Information Retrieval and Data Mining research?

By volume in 2022–2025, Telkom University publishes the most Information Retrieval and Data Mining research, followed by Universitas Informatika dan Bisnis Indonesia and Binus University.

Where is Information Retrieval and Data Mining research done?

The largest centres of Information Retrieval and Data Mining research in 2022–2025 are Jakarta (Indonesia), Bandung (Indonesia), Surabaya (Indonesia) and Medan (Indonesia). Among places with at least 20 works in it, it is an unusually large share of all research in Semarang, Blitar and Syktyvkar.

Largest cities, 2022–2025

  1. 1 Jakarta Indonesia 1.2k works
  2. 2 Bandung Indonesia 849 works
  3. 3 Surabaya Indonesia 490 works
  4. 4 Medan Indonesia 423 works
  5. 5 Yogyakarta Indonesia 325 works
  6. 6 Malang Indonesia 298 works
  7. 7 Semarang Indonesia 294 works
  8. 8 Makassar Indonesia 253 works
  9. 9 Bogor Indonesia 235 works
  10. 10 Palembang Indonesia 229 works

Where it is the local speciality

  1. Semarang31.8 works50×
  2. BlitarID · 20.2 works44×
  3. SyktyvkarRU · 28.3 works38×
  4. Yogyakarta52.2 works38×
← less than its size predictsmore →

Location quotient: how much more of its research is in Information Retrieval and Data Mining than the world average.

See Information Retrieval and Data Mining on the map

Where is the best place to study Information Retrieval and Data Mining?

Among universities, judged by research, Telkom University, Universitas Informatika dan Bisnis Indonesia and Nasional 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 10.74%fractional works in this node (log) →share in the world top 10% →Telkom University: 218, 8.7%Universitas Informatika dan Bisnis Indonesia: 189, 5.0%Nasional University: 57, 12.2%Satya Wacana Christian University: 88, 8.8%Universitas Tama Jagakarsa: 10, 32.8%Universitas Bina Darma: 114, 6.0%Sepuluh Nopember Institute of Technology: 52, 9.3%Mercu Buana University: 59, 9.6%Universitas Islam Negeri Sultan Syarif Kasim Riau: 58, 9.7%State University of Malang: 94, 5.3%Nasional UniversitySatya Wacana Christi…Telkom UniversityUniversitas Informat…
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 Telkom UniversityIndonesia 69.08.7%44.9×218 +3104.4%
2 Universitas Informatika dan Bisnis IndonesiaIndonesia 64.05.0%57.7×189 +2950.0%
3 Nasional UniversityIndonesia 63.812.2%37.2×57 +438.1%
4 Satya Wacana Christian UniversityIndonesia 63.08.8%37.5×88 +428.3%
5 Universitas Tama JagakarsaIndonesia 62.532.8%51.3×10
6 Universitas Bina DarmaIndonesia 62.06.0%89.9×114 +699.0%
7 Sepuluh Nopember Institute of TechnologyIndonesia 61.99.3%13.3×52 +258.3%
8 Mercu Buana UniversityIndonesia 61.69.6%18.3×59 +2728.7%
9 Universitas Islam Negeri Sultan Syarif Kasim RiauIndonesia 61.69.7%20.8×58 +204.1%
10 State University of MalangIndonesia 61.15.3%10.6×94 +4212.7%

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 Information Retrieval and Data Mining research growing?

Output in 2018–2022 was 438% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Information Retrieval and Data Mining.

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.