Science Explorer Interactive view Map

Computer Science and Engineering

Computer Science and Engineering is a research topic within Artificial Intelligence. Science Explorer counts 16k research works in it since 1967. 2.4% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers topics related to digital image processing, artificial neural networks, and their applications in various fields such as cryptography, machine learning, computer vision, and data security. The use of MATLAB for digital image processing and the application of artificial neural networks for tasks like face recognition and traffic sign recognition are also prominent in this cluster.

  • Digital Image Processing
  • Artificial Neural Networks
  • MATLAB
  • Cryptography
  • Machine Learning
  • Computer Vision
  • Big Data
  • Face Recognition
  • Data Security
  • Traffic Sign Recognition
Research works
16k
fractional, since 1967
In the world top 10%
370
per year above
Top-10% rate
2.4%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+129%
the tick is no change

Which countries lead Computer Science and Engineering research?

By volume, Indonesia and ?? publish the most (6.5k and 330 works in 2022–2025).

By volume, 2022–2025

  1. 1 Indonesia 6.5k works
  2. 2 ?? 330 works
  3. 3 India 147 works
  4. 4 United States 68 works
  5. 5 Malaysia 48 works
  6. 6 Russia 35 works
  7. 7 Canada 32 works
  8. 8 Iraq 22 works
  9. 9 China 21 works
  10. 10 Philippines 11 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: 90.0%??: 4.6%India: 2.0%United States: 0.9%6 others listed: 2.4%90%largest
Indonesia6,458 · 90.0%??330 · 4.6%India147 · 2.0%United States68 · 0.9%6 others listed170 · 2.4%

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

Which institutions lead Computer Science and Engineering research?

By volume in 2022–2025, State University of Medan publishes the most Computer Science and Engineering research, followed by Udayana University and Universitas Islam Negeri Sumatera Utara.

By volume, 2022–2025

  1. 1 State University of Medan Indonesia 114 works
  2. 2 Udayana University Indonesia 95 works
  3. 3 Universitas Islam Negeri Sumatera Utara Indonesia 94 works
  4. 4 University of Pembangunan Nasional Veteran Jawa Timur Indonesia 93 works
  5. 5 University of Singaperbangsa Karawang Indonesia 90 works
  6. 6 Telkom University Indonesia 88 works
  7. 7 Universitas Informatika dan Bisnis Indonesia Indonesia 87 works
  8. 8 Universitas Dian Nuswantoro Indonesia 80 works
  9. 9 Universitas Negeri Surabaya Indonesia 78 works
  10. 10 State University of Padang Indonesia 73 works

Where is Computer Science and Engineering research done?

The largest centres of Computer Science and Engineering 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 Rossland, Yogyakarta and Syktyvkar.

Largest cities, 2022–2025

  1. 1 Jakarta Indonesia 682 works
  2. 2 Bandung Indonesia 496 works
  3. 3 Surabaya Indonesia 427 works
  4. 4 Medan Indonesia 408 works
  5. 5 Semarang Indonesia 353 works
  6. 6 Yogyakarta Indonesia 275 works
  7. 7 Malang Indonesia 261 works
  8. 8 Makassar Indonesia 235 works
  9. 9 Padang Indonesia 216 works
  10. 10 Palembang Indonesia 172 works

Where it is the local speciality

  1. RosslandCA · 22.1 works77×
  2. Yogyakarta66.5 works64×
  3. SyktyvkarRU · 22.8 works41×
← less than its size predictsmore →

Location quotient: how much more of its research is in Computer Science and Engineering than the world average.

See Computer Science and Engineering on the map

Where is the best place to study Computer Science and Engineering?

Among universities, judged by research, Telkom University, Institut Teknologi Telkom Purwokerto and Universitas Ahmad Dahlan 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%5%10%mean 5.51%fractional works in this node (log) →share in the world top 10% →Telkom University: 88, 4.6%Institut Teknologi Telkom Purwokerto: 21, 10.1%Universitas Ahmad Dahlan: 44, 4.9%Universitas Atma Jaya Makassar: 12, 10.8%Universitas Dian Nuswantoro: 80, 2.0%Universitas Saburai: 12, 10.3%State University of Medan: 114, 0.9%State University of Malang: 72, 1.4%Universitas Negeri Surabaya: 78, 1.3%Universitas Muhammadiyah Sumatera Utara: 16, 8.8%Universitas Atma Jay…Institut Teknologi T…Universitas Ahmad Da…Telkom 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
1Telkom University Indonesia 71.94.6%24.1×88 +2710.0%
2Institut Teknologi Telkom Purwokerto Indonesia 66.810.1%60.3×21
3Universitas Ahmad Dahlan Indonesia 65.74.9%15.8×44 +165.3%
4Universitas Atma Jaya Makassar Indonesia 64.510.8%31.7×12
5Universitas Dian Nuswantoro Indonesia 63.72.0%77.2×80 +344.5%
6Universitas Saburai Indonesia 63.110.3%18.4×12
7State University of Medan Indonesia 62.80.9%22.4×114 +820.8%
8State University of Malang Indonesia 61.71.4%10.8×72 +1446.5%
9Universitas Negeri Surabaya Indonesia 61.61.3%14.9×78 +323.1%
10Universitas Muhammadiyah Sumatera Utara Indonesia 61.18.8%10.2×16

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 Computer Science and Engineering research growing?

Output in 2018–2022 was 129% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Computer Science and Engineering.

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.