Helsinki Institute for Information Technology
In research, Helsinki Institute for Information Technology stands highest in Computer Science (#992 of 7,020 worldwide), Physical Sciences (#4,900 of 21,541 worldwide) and Artificial Intelligence (#948 of 2,981 worldwide), over all time.
- World rank, all time
- #6,706 of 42,892
- Rank in Finland
- #31 of 183
- Research works
- 1.7k ▼ 57% vs 2013–17
- Citations
- 61k 36.2 per fractional work
- Top-10% rate
- 25.2% record average 16.5%
- Open access
- 29% world 28%
What is Helsinki Institute for Information Technology known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Computer ScienceField | #992 of 7,020 | 32.5% | 859 | |
| Physical SciencesDomain | #4,900 of 21,541 | 30.8% | 1,260 | |
| Artificial IntelligenceSubfield | #948 of 2,981 | 29.7% | 287 | |
| EngineeringField | #3,876 of 11,412 | 27.2% | 245 | |
| Social SciencesDomain | #6,070 of 16,945 | 39.7% | 230 | |
| Computer Networks and CommunicationsSubfield | #907 of 1,873 | 31.7% | 151 | |
| Life SciencesDomain | #9,066 of 14,347 | 26.5% | 170 |
Each strip is that field’s whole ranked pool, with the notch where Helsinki Institute for Information 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).
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: Earth and Planetary Sciences, 5.3×. Every wedge is a field page.
- Earth and Planetary Sciences 5.3×
- Computer Science 4.0×
- Environmental Science 3.2×
- Biochemistry, Genetics and Molecular Biology 1.7×
- Mathematics 1.4×
- Decision Sciences 1.2×
- Physics and Astronomy 1.2×
- Pharmacology, Toxicology and Pharmaceutics 1.0×
- Agricultural and Biological Sciences 0.7×
- Social Sciences 0.7×
- Immunology and Microbiology 0.5×
- Psychology 0.5×
- Engineering 0.4×
- Neuroscience 0.4×
- Business, Management and Accounting 0.4×
- Chemistry 0.3×
- Chemical Engineering 0.3×
- Economics, Econometrics and Finance 0.3×
- Medicine 0.2×
- Dentistry 0.2×
- Health Professions 0.2×
- Arts and Humanities 0.2×
- Energy 0.2×
- Materials Science 0.2×
Who are the top researchers at Helsinki Institute for Information Technology?
Ranked on the composite score, Erkki Oja, Timo Saari and Teemu Roos lead among researchers whose main affiliation is Helsinki Institute for Information Technology.
- 1 Erkki Oja Finland · #5,887 worldwide 1.5k citations · 81 works
- 2 Timo Saari Finland · #58,308 worldwide 409 citations · 33 works
- 3 Teemu Roos Finland · #64,375 worldwide 248 citations · 46 works
- 4 Petri Myllymäki Finland · #138,340 worldwide 285 citations · 48 works
- 5 Sourav Bhattacharya Finland · #211,219 worldwide 242 citations · 51 works
- 6 M. Tiuri Finland · #263,326 worldwide 127 citations · 30 works
- 7 S.J. Ovaska Finland · #295,240 worldwide 333 citations · 96 works
- 8 Reijo Sulonen Finland · #303,950 worldwide 85 citations · 26 works
- 9 Olli Simula Finland · #320,171 worldwide 165 citations · 36 works
- 10 Risto Sarvas Finland · #480,341 worldwide 78 citations · 20 works
Which keywords describe research at Helsinki Institute for Information Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Climate Change, Air Quality, Machine Learning, Deep Learning, Atmospheric Aerosols, Black Carbon, Remote Sensing and Semi-Supervised Learning.
- Water Quality
- NURBS
- Fine Particulate Air Pollution
- Air Pollution
- Network Dynamics
- Ice Nucleation
- Causal Discovery
- Big Data
- Ukraine
- Phylogenetic Analysis
- Knowledge Graph Embedding
- Approximation Algorithms
- Health Effects
- Data Mining
- Global Warming
- Hydrological Cycle
- Black Carbon
- Security
- Air Quality
- Machine Learning
- Climate Change
- Deep Learning
- Remote Sensing
- Atmospheric Aerosols
- Semi-Supervised Learning
- Satellite Observations
- Particulate Matter
- Ecosystem Resilience
- Representation Learning
- Graph Neural Networks
- Internet of Things
- Russia
- Algorithmic Applications
- Cardiovascular Disease
- Global Burden of Disease
- Mortality
- Social Influence
- Cryptanalysis
- Finite Elements
- Ocean Circulation
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
- Climate Change6▲ 3.8×39 topics
- Machine Learning5▲ 2.4×24 topics
- Deep Learning4▲ 1.96×17 topics
- Air Quality3▲ 29×5 topics
- Remote Sensing2▲ 3.5×14 topics
- Security2▲ 5.1×6 topics
- Atmospheric Aerosols2▲ 56×1 topic
- Black Carbon2▲ 56×1 topic
- Semi-Supervised Learning2▲ 27×3 topics
- Hydrological Cycle2▲ 30×2 topics
- Satellite Observations2▲ 29×3 topics
- Global Warming2▲ 6.5×9 topics
- Particulate Matter2▲ 17×2 topics
- Data Mining1▲ 3.4×4 topics
- Ecosystem Resilience1▲ 16×4 topics
- Health Effects1▲ 4.0×9 topics
- Representation Learning1▲ 17×3 topics
- Approximation Algorithms1▲ 33×3 topics
- Graph Neural Networks1▲ 47×1 topic
- Knowledge Graph Embedding1▲ 47×1 topic
- Internet of Things1▲ 2.5×4 topics
- Phylogenetic Analysis1▲ 6.8×3 topics
- Russia1▲ 46×2 topics
- Ukraine1▲ 59×2 topics
- Algorithmic Applications1▲ 55×2 topics
- Big Data1▲ 2.2×7 topics
- Cardiovascular Disease1▲ 1.69×2 topics
- Causal Discovery1▲ 59×2 topics
- Global Burden of Disease1▲ 7.8×2 topics
- Ice Nucleation1▲ 46×2 topics
- Mortality1▲ 3.4×2 topics
- Network Dynamics1▲ 19×2 topics
- Social Influence1▲ 8.8×2 topics
- Air Pollution1▲ 14×1 topic
- Cryptanalysis1▲ 21×4 topics
- Fine Particulate Air Pollution1▲ 20×1 topic
- Finite Elements1▲ 72×1 topic
- NURBS1▲ 72×1 topic
- Ocean Circulation1▲ 14×3 topics
- Water Quality1▲ 4.5×5 topics
Which research topics does Helsinki Institute for Information Technology publish most on?
By volume in 2022–2025: Atmospheric chemistry and aerosols, Advanced Graph Neural Networks, Air Quality and Health Impacts and Advanced Numerical Analysis Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Atmospheric chemistry and aerosols Atmospheric Science 2 works
- 2 Advanced Graph Neural Networks Artificial Intelligence 1 works
- 3 Air Quality and Health Impacts Health, Toxicology and Mutagenesis 1 works
- 4 Advanced Numerical Analysis Techniques Computational Mechanics 1 works
- 5 Complex Network Analysis Techniques Statistical and Nonlinear Physics 1 works
- 6 Genomics and Phylogenetic Studies Molecular Biology 1 works
- 7 Data Management and Algorithms Signal Processing 1 works
- 8 Climate variability and models Global and Planetary Change 1 works
- 9 Algorithms and Data Compression Artificial Intelligence 1 works
- 10 Privacy-Preserving Technologies in Data Artificial Intelligence 1 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 Helsinki Institute for Information Technology's research output changed?
Output in 2018–2022 was 57% lower 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 Espoo
- Aalto University
- VTT Technical Research Centre of Finland
- Nokia (Finland)
- Geological Survey of Finland
- Orion Corporation (Finland)
- Microsoft (Finland)
- Neste Oil (Finland)
- Jorvi Hospital
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.