Moscow Institute of Physics and Technology
In research, Moscow Institute of Physics and Technology stands highest in Physical Sciences (#1,153 of 12,888 worldwide), Mathematics (#144 of 1,053 worldwide) and Physics and Astronomy (#399 of 1,646 worldwide), 2022–2025. Relative to its size it is most specialised in Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Geometry and Topology — Nuclear and High Energy Physics is 13.5× its share of world research.
- World rank, 2022–2025
- #1,850 of 28,054 · #1,508 all time
- Rank in Russia
- #13 of 1,062
- Research works
- 11k ▲ 63% vs 2013–17
- Citations
- 116k 10.6 per fractional work
- Top-10% rate
- 10.4% record average 16.5%
- Open access
- 37% world 28%
What is Moscow Institute of Physics and 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #1,153 of 12,888 | 9.9% | 2,185 | #1104 | |
| MathematicsField | #144 of 1,053 | 15.8% | 175 | #328 | |
| Physics and AstronomyField | #399 of 1,646 | 13.9% | 494 | #712 | |
| EngineeringField | #2,078 of 6,636 | 7.7% | 651 | #1441 | |
| Computer ScienceField | #1,726 of 4,667 | 9.5% | 380 | #1094 | |
| Life SciencesDomain | #3,304 of 7,800 | 12.5% | 254 | #3904 | |
| Biochemistry, Genetics and Molecular BiologyField | #2,111 of 3,579 | 12.9% | 160 | #2473 | |
| Materials ScienceField | #1,476 of 2,468 | 5.6% | 225 | #1910 | |
| Atomic and Molecular Physics, and OpticsSubfield | #349 of 565 | 8.1% | 198 | #555 | |
| MedicineField | #6,712 of 10,443 | 10.8% | 127 | #6758 |
Each strip is that field’s whole ranked pool, with the notch where Moscow Institute of Physics and 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.
- Physical Sciences#1,104 #1,153
- Mathematics#328 #144
- Physics and Astronomy#712 #399
- Engineering#1,441 #2,078
- Computer Science#1,094 #1,726
- Life Sciences#3,904 #3,304
- Biochemistry, Genetics and Molecular Biology#2,473 #2,111
- Materials Science#1,910 #1,476
- Atomic and Molecular Physics, and Optics#555 #349
- Medicine#6,758 #6,712
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 Physics and Technology specialise in?
Where its research is concentrated relative to its size: Nuclear and High Energy Physics takes 13.5× the share of its output that it takes of world research.
- Nuclear and High Energy PhysicsSubfield · 115.1 works14×
- Atomic and Molecular Physics, and OpticsSubfield · 198.4 works10×
- Geometry and TopologySubfield · 44.1 works10×
- Condensed Matter PhysicsSubfield · 41.4 works9.6×
- Numerical AnalysisSubfield · 20.2 works8.8×
- Mathematical PhysicsSubfield · 36.5 works8.5×
- Physics and AstronomyField · 493.8 works8.2×
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: Physics and Astronomy, 8.2×. Every wedge is a field page.
- Physics and Astronomy 8.2×
- Mathematics 5.5×
- Earth and Planetary Sciences 2.8×
- Materials Science 2.4×
- Computer Science 1.8×
- Engineering 1.6×
- Chemistry 1.4×
- Chemical Engineering 1.3×
- Biochemistry, Genetics and Molecular Biology 1.1×
- Neuroscience 1.1×
- Decision Sciences 0.7×
- Energy 0.6×
- Pharmacology, Toxicology and Pharmaceutics 0.5×
- Immunology and Microbiology 0.5×
- Environmental Science 0.4×
- Economics, Econometrics and Finance 0.4×
- Medicine 0.2×
- Agricultural and Biological Sciences 0.2×
- Arts and Humanities 0.2×
- Business, Management and Accounting 0.2×
- Social Sciences 0.1×
- Nursing 0.1×
- Psychology 0.1×
- Health Professions 0.1×
- Dentistry 0.1×
- Veterinary 0.0×
Who are the top researchers at Moscow Institute of Physics and Technology?
Ranked on the composite score, Sergey Simakov, Alexey Moskalev and Andrei Starikovskii lead among researchers whose main affiliation is Moscow Institute of Physics and Technology.
- 1 Sergey Simakov Russia · #66,784 worldwide 564 citations · 26 works
- 2 Alexey Moskalev Russia · #72,993 worldwide 268 citations · 48 works
- 3 Andrei Starikovskii Russia · #138,528 worldwide 225 citations · 36 works
- 4 Sergey Pancheshnyi Russia · #163,380 worldwide 215 citations · 27 works
- 5 Ivan A. Kruglov Russia · #200,953 worldwide 262 citations · 23 works
- 6 Sergey M. Novikov Russia · #218,444 worldwide 219 citations · 31 works
- 7 В. П. Крайнов Russia · #228,807 worldwide 202 citations · 56 works
- 8 Mikhail Burtsev Russia · #259,102 worldwide 137 citations · 24 works
- 9 O. V. Astafiev Russia · #295,863 worldwide 208 citations · 46 works
- 10 Dmitry I. Yakubovsky Russia · #314,702 worldwide 126 citations · 24 works
Which keywords describe research at Moscow Institute of Physics and Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Deep Learning, Biosensors, Entanglement, Superconductivity, Biomedical Applications, Spintronics and Nanoparticles.
- Higgs Boson
- Ferroelectricity
- Electron Spin
- Inverse Problems
- String Theory
- Quantum Entanglement
- Lattice QCD
- Quantum Information
- Tomography
- Photonic Crystals
- Particle Physics
- Thin Films
- Optical Modulators
- Two-Dimensional Materials
- Electronic Structure
- Spintronics
- Graphene
- Biosensors
- Biomedical Applications
- Neural Networks
- Deep Learning
- Machine Learning
- Nanoparticles
- Entanglement
- Superconductivity
- Quantum Computing
- Metamaterials
- Dark Matter
- Neuromorphic Computing
- Convex Optimization
- Approximation Algorithms
- Nonlinear Optics
- Electronic Structure Calculations
- Quantum Gravity
- Ocean Circulation
- Nanophotonics
- Numerical Methods
- Black Holes
- Semiconductor Quantum Dots
- Superconducting Circuits
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 Learning130▲ 1.41×72 topics
- Neural Networks112▲ 2.7×36 topics
- Machine Learning92◆ 1.03×74 topics
- Biomedical Applications69▲ 2.1×35 topics
- Nanoparticles68▲ 1.98×42 topics
- Biosensors63▲ 4.5×12 topics
- Entanglement44▲ 11×4 topics
- Graphene39▲ 2.1×12 topics
- Superconductivity37▲ 8.0×9 topics
- Spintronics34▲ 9.6×4 topics
- Quantum Computing34▲ 12×4 topics
- Electronic Structure33▲ 6.8×8 topics
- Metamaterials33▲ 8.6×5 topics
- Two-Dimensional Materials32▲ 5.0×4 topics
- Dark Matter30▲ 9.7×4 topics
- Optical Modulators30▲ 7.5×3 topics
- Neuromorphic Computing30▲ 9.4×2 topics
- Thin Films28▲ 5.5×10 topics
- Convex Optimization28▲ 13×5 topics
- Particle Physics26▲ 13×2 topics
- Approximation Algorithms26▲ 14×5 topics
- Photonic Crystals25▲ 7.7×5 topics
- Nonlinear Optics25▲ 8.5×4 topics
- Tomography25▲ 5.1×5 topics
- Electronic Structure Calculations24▲ 14×2 topics
- Quantum Information24▲ 7.7×3 topics
- Quantum Gravity24▲ 11×4 topics
- Lattice QCD23▲ 15×2 topics
- Ocean Circulation23▲ 6.5×3 topics
- Quantum Entanglement23▲ 13×2 topics
- Nanophotonics22▲ 8.5×3 topics
- String Theory21▲ 14×2 topics
- Numerical Methods21▲ 9.3×5 topics
- Inverse Problems21▲ 7.3×4 topics
- Black Holes21▲ 8.1×3 topics
- Electron Spin21▲ 21×1 topic
- Semiconductor Quantum Dots21▲ 21×1 topic
- Ferroelectricity20▲ 8.1×4 topics
- Superconducting Circuits20▲ 11×2 topics
- Higgs Boson20▲ 14×1 topic
Which research topics does Moscow Institute of Physics and Technology publish most on?
By volume in 2022–2025: Quantum and electron transport phenomena, Particle physics theoretical and experimental studies, Physics of Superconductivity and Magnetism and Advanced Memory and Neural Computing.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Quantum and electron transport phenomena Atomic and Molecular Physics, and Optics 21 works
- 2 Particle physics theoretical and experimental studies Nuclear and High Energy Physics 20 works
- 3 Physics of Superconductivity and Magnetism Condensed Matter Physics 19 works
- 4 Advanced Memory and Neural Computing Electrical and Electronic Engineering 18 works
- 5 Quantum Information and Cryptography Artificial Intelligence 17 works
- 6 Black Holes and Theoretical Physics Nuclear and High Energy Physics 16 works
- 7 Topic Modeling Artificial Intelligence 16 works
- 8 Semiconductor materials and devices Electrical and Electronic Engineering 14 works
- 9 Photonic and Optical Devices Electrical and Electronic Engineering 14 works
- 10 Natural Language Processing Techniques Artificial Intelligence 13 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 Physics and Technology's research output changed?
Output in 2018–2022 was 63% 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.
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.