Aerospace, Electronics, Mathematical Modeling
Aerospace, Electronics, Mathematical Modeling is a research topic within Nature and Landscape Conservation. Science Explorer counts 5.9k research works in it since 1951. 8.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers topics related to forest reforestation, including methods for direct seeding, noise reduction in manufacturing and repair workshops, chip design verification, hydraulic systems management, and seed grading optimization. It also explores environmental impact assessment, vibroacoustic characteristics research, and quality management systems in the context of urban environmental planning.
- Reforestation
- Noise Reduction
- Chip Design Verification
- Hydraulic Systems
- Aircraft Industry
- Seed Grading
- Environmental Monitoring
- Vibroacoustic Characteristics
- Quality Management Systems
- Urban Environmental Planning
- Research works
- 5.9k fractional, since 1951
- In the world top 10%
- 488 per year above
- Top-10% rate
- 8.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +233% the tick is no change
Which countries lead Aerospace, Electronics, Mathematical Modeling research?
By volume, Russia and Ukraine publish the most (942 and 313 works in 2022–2025).
By volume, 2022–2025
- 1 Russia 942 works
- 2 Ukraine 313 works
- 3 United States 57 works
- 4 Uzbekistan 51 works
- 5 China 36 works
- 6 Kazakhstan 30 works
- 7 Belarus 26 works
- 8 Poland 25 works
- 9 Azerbaijan 15 works
- 10 Indonesia 7 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 Aerospace, Electronics, Mathematical Modeling research?
By volume in 2022–2025, Voronezh State University of Forestry and Technologies publishes the most Aerospace, Electronics, Mathematical Modeling research, followed by Moscow Aviation Institute and Voronezh State Technical University.
By volume, 2022–2025
- 1 Voronezh State University of Forestry and TechnologiesRussia 78 works
- 2 Moscow Aviation InstituteRussia 53 works
- 3 Voronezh State Technical UniversityRussia 42 works
- 4 State University "Kyiv Aviation Institute"Ukraine 34 works
- 5 Moscow State University of Civil EngineeringRussia 23 works
- 6 National University of Civil Protection of UkraineUkraine 21 works
- 7 Academy of the State Fire Service EMERCOM of RussiaRussia 20 works
- 8 Moscow State Technical University of Civil AviationRussia 17 works
- 9 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine 17 works
- 10 Don State Technical UniversityRussia 17 works
Where is Aerospace, Electronics, Mathematical Modeling research done?
The largest centres of Aerospace, Electronics, Mathematical Modeling research in 2022–2025 are Moscow (Russia), Voronezh (Russia), Kyiv (Ukraine) and Saint Petersburg (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Voronezh, Cherkasy and Rostov-on-Don.
Largest cities, 2022–2025
- 1 Moscow Russia 310 works
- 2 Voronezh Russia 148 works
- 3 Kyiv Ukraine 117 works
- 4 Saint Petersburg Russia 88 works
- 5 Kharkiv Ukraine 60 works
- 6 Tashkent Uzbekistan 34 works
- 7 Rostov-on-Don Russia 31 works
- 8 Lviv Ukraine 25 works
- 9 Cherkasy Ukraine 23 works
- 10 Samara Russia 19 works
Where it is the local speciality
- VoronezhRU · 148.1 works253×
- CherkasyUA · 23.5 works126×
- Rostov-on-DonRU · 31.0 works41×
- KharkivUA · 59.6 works37×
Location quotient: how much more of its research is in Aerospace, Electronics, Mathematical Modeling than the world average.
Where is the best place to study Aerospace, Electronics, Mathematical Modeling?
Among universities, judged by research, National Aerospace University – Kharkiv Aviation Institute, Moscow Aviation Institute and Voronezh State Technical 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 | National Aerospace University – Kharkiv Aviation InstituteUkraine | 78.5 | 23.2% | 102.7× | 9 | +229.7% |
| 2 | Moscow Aviation InstituteRussia | 76.3 | 13.0% | 221.7× | 53 | +1014.6% |
| 3 | Voronezh State Technical UniversityRussia | 72.2 | 17.5% | 665.0× | 42 | — |
| 4 | State University "Kyiv Aviation Institute"Ukraine | 69.7 | 17.7% | 145.1× | 34 | +47.3% |
| 5 | Voronezh State University of Forestry and TechnologiesRussia | 68.7 | 6.7% | 445.4× | 78 | +608.7% |
| 6 | National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine | 66.0 | 10.2% | 48.3× | 17 | +282.5% |
| 7 | Bauman Moscow State Technical UniversityRussia | 65.8 | 13.7% | 49.4× | 14 | +2293.6% |
| 8 | Peter the Great St. Petersburg Polytechnic UniversityRussia | 62.9 | 7.2% | 37.5× | 12 | +1223.8% |
| 9 | Don State Technical UniversityRussia | 58.3 | 7.1% | 94.2× | 17 | +1162.4% |
| 10 | Moscow State University of Civil EngineeringRussia | 58.1 | 4.5% | 109.6× | 23 | +478.0% |
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 Aerospace, Electronics, Mathematical Modeling research growing?
Output in 2018–2022 was 233% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Aerospace, Electronics, Mathematical Modeling.
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.