Innopolis University
In research, Innopolis University stands highest in Computer Science (#1,708 of 4,667 worldwide), Physical Sciences (#5,723 of 12,888 worldwide) and Engineering (#4,829 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Cognitive Neuroscience and Artificial Intelligence — Cognitive Neuroscience is 7.2× its share of world research.
- World rank, 2022–2025
- #9,489 of 28,054 · #12,877 all time
- Rank in Russia
- #204 of 1,062
- Research works
- 1.3k ▲ 566% vs 2013–17
- Citations
- 11k 8.7 per fractional work
- Top-10% rate
- 15.0% record average 16.5%
- Open access
- 40% world 28%
What is Innopolis University 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 | #1,708 of 4,667 | 19.1% | 168 | #1669 | |
| Physical SciencesDomain | #5,723 of 12,888 | 14.9% | 300 | #7957 | |
| EngineeringField | #4,829 of 6,636 | 8.2% | 99 | #6205 |
Each strip is that field’s whole ranked pool, with the notch where Innopolis University 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#1,669 #1,708
- Physical Sciences#7,957 #5,723
- Engineering#6,205 #4,829
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Innopolis University specialise in?
Where its research is concentrated relative to its size: Cognitive Neuroscience takes 7.2× the share of its output that it takes of world research.
- Cognitive NeuroscienceSubfield · 21.0 works7.2×
- Artificial IntelligenceSubfield · 56.4 works5.8×
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, 5.3×. Every wedge is a field page.
- Computer Science 5.3×
- Neuroscience 3.6×
- Mathematics 1.9×
- Engineering 1.6×
- Decision Sciences 1.2×
- Physics and Astronomy 0.8×
- Earth and Planetary Sciences 0.7×
- Psychology 0.6×
- Business, Management and Accounting 0.6×
- Arts and Humanities 0.6×
- Social Sciences 0.4×
- Energy 0.4×
- Health Professions 0.3×
- Materials Science 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Medicine 0.3×
- Economics, Econometrics and Finance 0.2×
- Chemistry 0.2×
- Environmental Science 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Agricultural and Biological Sciences 0.1×
- Dentistry 0.1×
- Chemical Engineering 0.1×
- Immunology and Microbiology 0.1×
Who are the top researchers at Innopolis University?
Ranked on the composite score, Rasheed Hussain, Alexandr Klimchik and Manuel Mazzara lead among researchers whose main affiliation is Innopolis University.
- 1 Rasheed Hussain Russia · #387,893 worldwide 197 citations · 42 works
- 2 Alexandr Klimchik Russia · #769,955 worldwide 111 citations · 69 works
- 3 Manuel Mazzara Russia · #886,870 worldwide 124 citations · 89 works
- 4 Muhammad Ahmad Russia · #922,385 worldwide 88 citations · 36 works
- 5 Larisa Safina Russia · #972,674 worldwide 21 citations · 15 works
- 6 Adil Khan Russia · #987,346 worldwide 39 citations · 28 works
- 7 Mirko Farina Russia · #1,003,045 worldwide 70 citations · 25 works
- 8 Andrey Andreev Russia · #1,017,267 worldwide 58 citations · 33 works
- 9 Ilya Afanasyev Russia · #1,042,999 worldwide 24 citations · 15 works
- 10 Vladimir Maksimenko Russia · #1,082,274 worldwide 71 citations · 41 works
Which keywords describe research at Innopolis University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Deep Learning, Neural Networks, Code Clone Detection, Refactoring, Requirements Engineering, Anomaly Detection and Information Retrieval.
- Statistical Machine Translation
- Optimal Motion Planning
- Word Representation
- Topic Modeling
- Kinematic Analysis
- EEG Analysis
- Adaptive Control
- Robotics
- Synchronization
- Collision Avoidance
- IoT Security
- Agile Software Development
- Path Planning
- Dynamic Modeling
- Anomaly Detection
- Requirements Engineering
- Healthcare
- Artificial Intelligence
- Code Clone Detection
- Deep Learning
- Machine Learning
- Neural Networks
- Refactoring
- Educational Technology
- Security
- Internet of Things
- Information Retrieval
- Multi-Agent Systems
- Autonomous Vehicles
- Empirical Studies
- Distributed Systems
- Text Classification
- Corpus Linguistics
- Motor Imagery
- Brain-Computer Interfaces
- Machine Translation
- Robot Manipulators
- Semantic Similarity
- Neural Machine Translation
- Sampling-Based Algorithms
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
- Machine Learning56▲ 4.2×58 topics
- Deep Learning50▲ 3.6×64 topics
- Neural Networks32▲ 5.1×28 topics
- Code Clone Detection13▲ 81×1 topic
- Refactoring13▲ 81×1 topic
- Artificial Intelligence12▲ 2.2×16 topics
- Educational Technology11▲ 2.3×11 topics
- Healthcare11▲ 2.4×9 topics
- Security10▲ 4.0×13 topics
- Requirements Engineering10▲ 59×3 topics
- Internet of Things10▲ 2.9×9 topics
- Anomaly Detection9▲ 7.6×4 topics
- Information Retrieval9▲ 9.9×3 topics
- Dynamic Modeling8▲ 48×2 topics
- Multi-Agent Systems8▲ 11×4 topics
- Path Planning8▲ 16×3 topics
- Autonomous Vehicles8▲ 9.4×4 topics
- Agile Software Development8▲ 78×1 topic
- Empirical Studies8▲ 78×1 topic
- IoT Security7▲ 5.6×3 topics
- Distributed Systems7▲ 10×5 topics
- Collision Avoidance7▲ 9.4×3 topics
- Text Classification7▲ 11×3 topics
- Synchronization7▲ 14×4 topics
- Corpus Linguistics6▲ 7.5×3 topics
- Robotics6▲ 6.5×6 topics
- Motor Imagery6▲ 13×2 topics
- Adaptive Control6▲ 11×5 topics
- Brain-Computer Interfaces6▲ 16×1 topic
- EEG Analysis6▲ 16×1 topic
- Machine Translation6▲ 9.2×2 topics
- Kinematic Analysis6▲ 66×1 topic
- Robot Manipulators6▲ 66×1 topic
- Topic Modeling6▲ 9.9×2 topics
- Semantic Similarity6▲ 12×1 topic
- Word Representation6▲ 12×1 topic
- Neural Machine Translation6▲ 14×1 topic
- Optimal Motion Planning6▲ 18×1 topic
- Sampling-Based Algorithms6▲ 18×1 topic
- Statistical Machine Translation6▲ 14×1 topic
Which research topics does Innopolis University publish most on?
By volume in 2022–2025: Software Engineering Research, Software Engineering Techniques and Practices, EEG and Brain-Computer Interfaces and Robotic Mechanisms and Dynamics.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Software Engineering Research Information Systems 13 works
- 2 Software Engineering Techniques and Practices Information Systems 8 works
- 3 EEG and Brain-Computer Interfaces Cognitive Neuroscience 6 works
- 4 Robotic Mechanisms and Dynamics Control and Systems Engineering 6 works
- 5 Topic Modeling Artificial Intelligence 6 works
- 6 Natural Language Processing Techniques Artificial Intelligence 6 works
- 7 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 6 works
- 8 Software System Performance and Reliability Computer Networks and Communications 5 works
- 9 Neural dynamics and brain function Cognitive Neuroscience 5 works
- 10 Advanced Malware Detection Techniques Signal Processing 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 Innopolis University's research output changed?
Output in 2018–2022 was 566% 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 Innopolis
- Kazan Federal University
- A.E. Arbuzov Institute of Organic and Physical Chemistry
- Kazan State Technological University
- Kazan State Medical University
- Kazan State Technical University named after A. N. Tupolev
- Kazan State Power Engineering University
- Kazan State University of Architecture and Engineering
- Tatarstan Academy of Sciences
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.