Moscow Institute of Thermal Technology
In research, Moscow Institute of Thermal Technology stands highest in Computer Science (#698 of 4,667 worldwide), Physical Sciences (#3,573 of 12,888 worldwide) and Social Sciences (#3,494 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence — Artificial Intelligence is 4.5× its share of world research.
- World rank, 2022–2025
- #4,820 of 28,054 · #2,483 all time
- Rank in Russia
- #61 of 1,062
- Research works
- 3.1k ▲ 11% vs 2013–17
- Citations
- 100k 32.5 per fractional work
- Top-10% rate
- 18.7% record average 16.5%
- Open access
- 56% world 28%
What is Moscow Institute of Thermal Technology known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #698 of 4,667 | 26.8% | 138 | #356 | |
| Physical SciencesDomain | #3,573 of 12,888 | 17.6% | 340 | #2155 | |
| Social SciencesDomain | #3,494 of 10,521 | 22.5% | 153 | #1309 | |
| Artificial IntelligenceSubfield | #1,209 of 1,884 | 25.5% | 61 | #782 | |
| EngineeringField | #4,488 of 6,636 | 12.6% | 104 | #2595 |
Each strip is that field’s whole ranked pool, with the notch where Moscow Institute of Thermal Technology sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Computer Science#356 #698
- Physical Sciences#2,155 #3,573
- Social Sciences#1,309 #3,494
- Artificial Intelligence#782 #1,209
- Engineering#2,595 #4,488
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Moscow Institute of Thermal Technology specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 4.5× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 61.3 works4.5×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 3.2×. Every wedge is a field page.
- Computer Science 3.2×
- Decision Sciences 3.2×
- Economics, Econometrics and Finance 2.1×
- Mathematics 2.1×
- Physics and Astronomy 1.7×
- Chemical Engineering 1.6×
- Arts and Humanities 1.4×
- Materials Science 1.4×
- Engineering 1.2×
- Energy 1.1×
- Business, Management and Accounting 1.0×
- Nursing 0.9×
- Social Sciences 0.8×
- Neuroscience 0.7×
- Earth and Planetary Sciences 0.7×
- Psychology 0.6×
- Health Professions 0.6×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Environmental Science 0.6×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Agricultural and Biological Sciences 0.3×
- Immunology and Microbiology 0.3×
- Chemistry 0.3×
- Dentistry 0.2×
- Medicine 0.2×
- Veterinary 0.1×
Who are the top researchers at Moscow Institute of Thermal Technology?
Ranked on the composite score, Julie Mullen, Alfred Brinckmann and Matthew Hubbell lead among researchers whose main affiliation is Moscow Institute of Thermal Technology.
- 1 Julie Mullen Russia · #377,890 worldwide 129 citations · 22 works
- 2 Alfred Brinckmann Russia · #570,677 worldwide 0 citations · 21 works
- 3 Matthew Hubbell Russia · #699,814 worldwide 61 citations · 26 works
- 4 Chansup Byun Russia · #770,038 worldwide 77 citations · 32 works
- 5 William Bergeron Russia · #774,254 worldwide 40 citations · 17 works
- 6 Charles Forsberg Russia · #775,651 worldwide 0 citations · 15 works
- 7 William Arcand Russia · #840,766 worldwide 48 citations · 21 works
- 8 Peter Michaleas Russia · #845,599 worldwide 55 citations · 26 works
- 9 David Bestor Russia · #907,327 worldwide 55 citations · 24 works
- 10 Leopold von Buch Russia · #977,585 worldwide 6 citations · 16 works
Which keywords describe research at Moscow Institute of Thermal Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Molten Salt, Nuclear Reactor, Unsupervised Learning, Big Data and Data Mining.
- Radiation Protection
- High-Throughput
- Accident Tolerant Fuels
- Crystal Structures
- Learning Analytics
- Hydrogen Embrittlement
- Neural Machine Translation
- Distributed Systems
- Quantitative Methods
- Special Education
- Learning
- Social Sciences
- Representation Learning
- Discourse Analysis
- Supply Chain Management
- Molten Salt
- Artificial Intelligence
- Big Data
- Education
- Machine Learning
- Deep Learning
- Neural Networks
- Sustainability
- Data Mining
- Renewable Energy
- Nuclear Reactor
- Unsupervised Learning
- Gender Studies
- Pedagogy
- Corpus Linguistics
- Semi-Supervised Learning
- Methodology
- Surveillance
- Molecular Dynamics
- Statistical Machine Translation
- Approximation Algorithms
- Oxidation Resistance
- Quantum Mechanics
- Fuel Cladding
- Nuclear Fuel
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning51▲ 2.7×60 topics
- Machine Learning44▲ 2.4×59 topics
- Neural Networks30▲ 3.5×28 topics
- Education15▲ 1.60×28 topics
- Sustainability14◆ 1.05×33 topics
- Big Data14▲ 2.8×16 topics
- Data Mining13▲ 3.1×11 topics
- Artificial Intelligence13▲ 1.65×19 topics
- Renewable Energy12▲ 1.54×22 topics
- Molten Salt12▲ 66×1 topic
- Nuclear Reactor12▲ 66×1 topic
- Supply Chain Management10▲ 1.92×11 topics
- Unsupervised Learning9▲ 11×3 topics
- Discourse Analysis8▲ 6.0×5 topics
- Gender Studies8▲ 9.1×3 topics
- Representation Learning8▲ 10×3 topics
- Pedagogy8▲ 2.8×4 topics
- Social Sciences8▲ 9.7×4 topics
- Corpus Linguistics7▲ 6.1×5 topics
- Learning7▲ 4.4×3 topics
- Semi-Supervised Learning7▲ 11×3 topics
- Special Education7▲ 22×2 topics
- Methodology7▲ 26×1 topic
- Quantitative Methods7▲ 87×1 topic
- Surveillance6▲ 4.1×3 topics
- Distributed Systems6▲ 6.5×4 topics
- Molecular Dynamics6▲ 6.2×4 topics
- Neural Machine Translation6▲ 10×1 topic
- Statistical Machine Translation6▲ 10×1 topic
- Hydrogen Embrittlement5▲ 11×3 topics
- Approximation Algorithms5▲ 13×5 topics
- Learning Analytics5▲ 7.3×2 topics
- Oxidation Resistance5▲ 8.2×2 topics
- Crystal Structures5▲ 11×2 topics
- Quantum Mechanics5▲ 10×3 topics
- Accident Tolerant Fuels5▲ 22×1 topic
- Fuel Cladding5▲ 22×1 topic
- High-Throughput4▲ 15×1 topic
- Nuclear Fuel4▲ 47×1 topic
- Radiation Protection4▲ 47×1 topic
Which research topics does Moscow Institute of Thermal Technology publish most on?
By volume in 2022–2025: Nuclear reactor physics and engineering, Social and Educational Sciences, Natural Language Processing Techniques and Nuclear Materials and Properties.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Nuclear reactor physics and engineering Aerospace Engineering 12 works
- 2 Social and Educational Sciences Education 7 works
- 3 Natural Language Processing Techniques Artificial Intelligence 6 works
- 4 Nuclear Materials and Properties Materials Chemistry 5 works
- 5 Machine Learning in Materials Science Materials Chemistry 4 works
- 6 Nuclear and radioactivity studies Safety, Risk, Reliability and Quality 4 works
- 7 Online Learning and Analytics Computer Science Applications 4 works
- 8 Nuclear Engineering Thermal-Hydraulics Aerospace Engineering 4 works
- 9 Graphite, nuclear technology, radiation studies Materials Chemistry 4 works
- 10 Domain Adaptation and Few-Shot Learning Artificial Intelligence 4 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Moscow Institute of Thermal Technology's research output changed?
Output in 2018–2022 was 11% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Moscow
- Russian Academy of Sciences
- Lomonosov Moscow State University
- National Research University Higher School of Economics
- Peoples' Friendship University of Russia
- Sechenov University
- Bauman Moscow State Technical University
- Kurchatov Institute
- N.D. Zelinsky Institute of Organic Chemistry
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.