Engineering Education and Technology
Engineering Education and Technology is a research topic within Information Systems. Science Explorer counts 7.5k research works in it since 1954. 15.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers explores the concept of Smart University within the context of Digital Ecosystems, focusing on topics such as Internet of Things, Artificial Intelligence, cognitive modeling, educational technology, innovation management, predictive maintenance, knowledge management, and industrial control systems. The papers discuss the principles and semantics of digital ecosystems, machine learning algorithms for smart data analysis, ontology of smart classrooms, mobile social networking for smart campuses, and the development and evaluation models for smart universities.
- Digital Ecosystems
- Smart University
- Internet of Things
- Artificial Intelligence
- Cognitive Modeling
- Educational Technology
- Innovation Management
- Predictive Maintenance
- Knowledge Management
- Industrial Control Systems
- Research works
- 7.5k fractional, since 1954
- In the world top 10%
- 1.2k per year above
- Top-10% rate
- 15.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +285% the tick is no change
Which countries lead Engineering Education and Technology research?
By volume, Russia and China publish the most (803 and 341 works in 2022–2025).
By volume, 2022–2025
- 1 Russia 803 works
- 2 China 341 works
- 3 United States 329 works
- 4 Ukraine 276 works
- 5 India 180 works
- 6 Indonesia 108 works
- 7 Germany 70 works
- 8 United Kingdom 57 works
- 9 Kazakhstan 55 works
- 10 Uzbekistan 53 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Engineering Education and Technology research?
By volume in 2022–2025, Bauman Moscow State Technical University publishes the most Engineering Education and Technology research, followed by Moscow Power Engineering Institute and National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”.
By volume, 2022–2025
- 1 Bauman Moscow State Technical University Russia 32 works
- 2 Moscow Power Engineering Institute Russia 21 works
- 3 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Ukraine 19 works
- 4 Peter the Great St. Petersburg Polytechnic University Russia 19 works
- 5 V. A. Trapeznikov Institute of Control Sciences Russia 18 works
- 6 Ural Federal University Russia 16 works
- 7 Tecnológico de Monterrey Mexico 14 works
- 8 Lviv Polytechnic National University Ukraine 14 works
- 9 Weatherford College United States 14 works
- 10 Moscow Aviation Institute Russia 13 works
Who are the leading researchers in Engineering Education and Technology?
The most-cited researchers publishing on Engineering Education and Technology include Dragan Gašević.
- 1 Dragan Gašević 1.9k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Engineering Education and Technology research done?
The largest centres of Engineering Education and Technology research in 2022–2025 are Moscow (Russia), Kyiv (Ukraine), Saint Petersburg (Russia) and Beijing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Samara, Rostov-on-Don and Kazan’.
Largest cities, 2022–2025
- 1 Moscow Russia 309 works
- 2 Kyiv Ukraine 97 works
- 3 Saint Petersburg Russia 86 works
- 4 Beijing China 48 works
- 5 Kharkiv Ukraine 38 works
- 6 Kazan’ Russia 36 works
- 7 Tashkent Uzbekistan 32 works
- 8 Novosibirsk Russia 29 works
- 9 Yekaterinburg Russia 28 works
- 10 Samara Russia 27 works
Where it is the local speciality
- SamaraRU · 26.7 works18×
- Rostov-on-DonRU · 26.4 works16×
- Kazan’RU · 36.4 works16×
Location quotient: how much more of its research is in Engineering Education and Technology than the world average.
Where is the best place to study Engineering Education and Technology?
Among universities, judged by research, Tecnológico de Monterrey, Bauman Moscow State Technical University and Peter the Great St. Petersburg Polytechnic 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.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Tecnológico de Monterrey Mexico | 74.4 | 23.8% | 16.0× | 14 | — |
| 2 | Bauman Moscow State Technical University Russia | 72.1 | 9.8% | 51.5× | 32 | +1147.2% |
| 3 | Peter the Great St. Petersburg Polytechnic University Russia | 68.1 | 10.6% | 26.7× | 19 | +1956.7% |
| 4 | Moscow Power Engineering Institute Russia | 64.1 | 7.1% | 42.0× | 21 | +581.7% |
| 5 | Moscow State Pedagogical University Russia | 62.3 | 28.4% | 24.3× | 8 | — |
| 6 | National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” Ukraine | 61.2 | 7.9% | 24.3× | 19 | +174.5% |
| 7 | Kazan Federal University Russia | 60.2 | 12.1% | 11.0× | 10 | +961.2% |
| 8 | Siberian Federal University Russia | 59.4 | 14.7% | 24.1× | 8 | +225.6% |
| 9 | ITMO University Russia | 58.5 | 6.3% | 21.6× | 12 | +757.2% |
| 10 | National Research University Higher School of Economics Russia | 56.5 | 19.2% | 8.9× | 12 | +87.7% |
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 Engineering Education and Technology research growing?
Output in 2018–2022 was 285% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Engineering Education and Technology.
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.