MTA-SZTE Research Group on Artificial Intelligence
In research, MTA-SZTE Research Group on Artificial Intelligence stands highest in Computer Science (#2,454 of 7,020 worldwide) and Physical Sciences (#10,482 of 21,541 worldwide), over all time.
- World rank, 2022–2025
- #9,962 of 28,054 · #11,176 all time
- Rank in Hungary
- #36 of 118
- Research works
- 565 ▲ 8% vs 2013–17
- Citations
- 12k 21.4 per fractional work
- Top-10% rate
- 28.3% record average 16.5%
- Open access
- 64% world 28%
What is MTA-SZTE Research Group on Artificial Intelligence 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 | #2,454 of 7,020 | 26.4% | 158 | |
| Physical SciencesDomain | #10,482 of 21,541 | 23.8% | 264 |
Each strip is that field’s whole ranked pool, with the notch where MTA-SZTE Research Group on Artificial Intelligence 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: Neuroscience, 3.6×. Every wedge is a field page.
- Neuroscience 3.6×
- Psychology 2.8×
- Computer Science 2.7×
- Immunology and Microbiology 2.2×
- Physics and Astronomy 2.2×
- Pharmacology, Toxicology and Pharmaceutics 1.6×
- Chemical Engineering 1.5×
- Biochemistry, Genetics and Molecular Biology 1.4×
- Veterinary 1.3×
- Decision Sciences 1.2×
- Mathematics 1.1×
- Social Sciences 1.1×
- Medicine 0.8×
- Arts and Humanities 0.8×
- Agricultural and Biological Sciences 0.7×
- Energy 0.6×
- Materials Science 0.5×
- Chemistry 0.5×
- Health Professions 0.5×
- Earth and Planetary Sciences 0.4×
- Environmental Science 0.4×
- Nursing 0.3×
- Engineering 0.3×
- Business, Management and Accounting 0.1×
Which keywords describe research at MTA-SZTE Research Group on Artificial Intelligence?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Teaching Strategies, Student Engagement, Educational Technology, Deep Neural Networks, Oxidative Stress, Convolutional Neural Networks and Education.
- Text Classification
- Online Research
- Tryptophan Metabolism
- Reading Comprehension
- Immune Activation
- Self-Efficacy
- Gender Differences
- Microglia
- Immune System
- Speaker Verification
- Active Learning
- Security
- Critical Thinking Skills
- Metacognition
- Meta-Analysis
- Depression
- Teaching Strategies
- Neural Networks
- Oxidative Stress
- Machine Learning
- Deep Learning
- Education
- Educational Technology
- Convolutional Neural Networks
- Student Engagement
- Deep Neural Networks
- 21st Century Skills
- Neuroinflammation
- Instructional Interventions
- Acoustic Modeling
- Information Literacy
- Educational Psychology
- Cytokines
- Schizophrenia
- Knowledge Representation
- Critical Thinking
- Language Development
- Self-Regulated Learning
- Epistemological Beliefs
- Model Checking
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 Learning8▲ 1.98×30 topics
- Machine Learning5▲ 1.50×21 topics
- Education5▲ 2.4×11 topics
- Oxidative Stress5▲ 2.6×15 topics
- Educational Technology4▲ 3.4×12 topics
- Neural Networks4▲ 2.6×10 topics
- Convolutional Neural Networks4▲ 4.3×6 topics
- Teaching Strategies4▲ 10×4 topics
- Student Engagement3▲ 7.6×8 topics
- Depression3▲ 2.9×5 topics
- Deep Neural Networks3▲ 23×3 topics
- Meta-Analysis3▲ 4.0×4 topics
- 21st Century Skills2▲ 7.7×2 topics
- Metacognition2▲ 15×4 topics
- Neuroinflammation2▲ 8.0×5 topics
- Critical Thinking Skills2▲ 11×1 topic
- Instructional Interventions2▲ 25×1 topic
- Security2▲ 3.3×5 topics
- Acoustic Modeling2▲ 56×1 topic
- Active Learning2▲ 11×4 topics
- Information Literacy2▲ 7.7×3 topics
- Speaker Verification2▲ 56×1 topic
- Educational Psychology2▲ 38×2 topics
- Immune System2▲ 7.9×3 topics
- Cytokines2▲ 6.5×3 topics
- Microglia2▲ 16×2 topics
- Schizophrenia2▲ 15×2 topics
- Gender Differences2▲ 4.4×6 topics
- Knowledge Representation2▲ 18×3 topics
- Self-Efficacy2▲ 5.7×4 topics
- Critical Thinking2▲ 15×2 topics
- Immune Activation2▲ 18×1 topic
- Language Development2▲ 12×2 topics
- Reading Comprehension2▲ 26×2 topics
- Self-Regulated Learning2▲ 48×2 topics
- Tryptophan Metabolism2▲ 26×1 topic
- Epistemological Beliefs2▲ 96×1 topic
- Online Research2▲ 58×1 topic
- Model Checking1▲ 29×3 topics
- Text Classification1▲ 8.2×2 topics
Which research topics does MTA-SZTE Research Group on Artificial Intelligence publish most on?
By volume in 2022–2025: Education and Critical Thinking Development, Speech Recognition and Synthesis, Tryptophan and brain disorders and Educational Strategies and Epistemologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Education and Critical Thinking Development Education 2 works
- 2 Speech Recognition and Synthesis Artificial Intelligence 2 works
- 3 Tryptophan and brain disorders Biological Psychiatry 2 works
- 4 Educational Strategies and Epistemologies Developmental and Educational Psychology 2 works
- 5 Stellar, planetary, and galactic studies Astronomy and Astrophysics 1 works
- 6 Topic Modeling Artificial Intelligence 1 works
- 7 Speech and Audio Processing Signal Processing 1 works
- 8 Dermatology and Skin Diseases Dermatology 1 works
- 9 Education, Achievement, and Giftedness Experimental and Cognitive Psychology 1 works
- 10 Multi-Criteria Decision Making Management Science and Operations Research 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 MTA-SZTE Research Group on Artificial Intelligence's research output changed?
Output in 2018–2022 was 8% 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 Szeged
- University of Szeged
- HUN-REN Szegedi Biológiai Kutatóközpont
- Institute of Plant Biology
- Institute of Genetics
- Institute of Biochemistry
- Institute of Biophysics
- Cereal Research (Hungary)
- ELI-HU Research and Development Non-Profit
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.