Bonn Aachen International Center for Information Technology
- World rank, all time
- #30,556 of 42,892
- Rank in Germany
- #1,426 of 2,077
- Research works
- 219 ▼ 59% vs 2013–17
- Citations
- 3.2k 14.8 per fractional work
- Top-10% rate
- 29.3% record average 16.5%
- Open access
- 40% world 28%
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: Mathematics, 4.2×. Every wedge is a field page.
- Mathematics 4.2×
- Biochemistry, Genetics and Molecular Biology 3.0×
- Neuroscience 3.0×
- Pharmacology, Toxicology and Pharmaceutics 2.7×
- Computer Science 2.5×
- Decision Sciences 2.3×
- Arts and Humanities 2.2×
- Psychology 1.3×
- Medicine 1.0×
- Social Sciences 0.9×
- Health Professions 0.7×
- Chemistry 0.6×
- Dentistry 0.5×
- Environmental Science 0.5×
- Physics and Astronomy 0.4×
- Agricultural and Biological Sciences 0.4×
- Materials Science 0.3×
- Immunology and Microbiology 0.2×
- Economics, Econometrics and Finance 0.2×
- Business, Management and Accounting 0.2×
- Engineering 0.1×
Who are the top researchers at Bonn Aachen International Center for Information Technology?
Ranked on the composite score, Stephan Kasulke, Jasmin Bensch and Jürgen Gerhard lead among researchers whose main affiliation is Bonn Aachen International Center for Information Technology.
- 1 Stephan Kasulke Germany · #868,070 worldwide 0 citations · 16 works
- 2 Jasmin Bensch Germany · #948,114 worldwide 0 citations · 15 works
- 3 Jürgen Gerhard Germany · #1,105,541 worldwide 21 citations · 18 works
Which keywords describe research at Bonn Aachen International Center for Information Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Deep Learning, Medicinal Chemistry, Data Integration, Natural Language Processing, Electronic Health Records, Molecular Docking and Virtual Screening.
- Placental Development
- Bioinformatics
- Predictive Modeling
- Innovation
- COVID-19
- Biomedical Literature
- Big Data
- Neurodegeneration
- Healthcare
- Semantic Web
- Philosophy of Science
- Neuroimaging
- Molecular Docking
- Electronic Health Records
- Epidemiology
- Medicinal Chemistry
- Deep Learning
- Machine Learning
- Oxidative Stress
- Data Integration
- Natural Language Processing
- Genetic Code
- Neural Networks
- Virtual Screening
- Precision Medicine
- Evolutionary Synthesis
- Mechanistic Explanation
- Text Mining
- Biomarkers
- Biomedical Ontologies
- Image Processing
- Patient Similarity
- Artificial Intelligence
- Endothelial Dysfunction
- Preeclampsia
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 35 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 35 words, with their numbers
- Machine Learning6▲ 5.5×19 topics
- Deep Learning4▲ 3.6×19 topics
- Oxidative Stress2▲ 3.6×5 topics
- Medicinal Chemistry2▲ 19×3 topics
- Data Integration2▲ 29×3 topics
- Epidemiology2▲ 1.18×12 topics
- Natural Language Processing2▲ 20×3 topics
- Electronic Health Records1▲ 46×2 topics
- Genetic Code1▲ 57×2 topics
- Molecular Docking1▲ 33×1 topic
- Neural Networks1▲ 2.7×7 topics
- Neuroimaging1▲ 15×4 topics
- Virtual Screening1▲ 45×1 topic
- Philosophy of Science1▲ 119×2 topics
- Precision Medicine1▲ 8.0×3 topics
- Semantic Web1▲ 41×2 topics
- Evolutionary Synthesis1▲ 208×1 topic
- Healthcare1▲ 3.2×3 topics
- Mechanistic Explanation1▲ 208×1 topic
- Neurodegeneration1▲ 11×6 topics
- Text Mining1▲ 27×2 topics
- Big Data1▲ 3.4×5 topics
- Biomarkers1▲ 4.7×5 topics
- Biomedical Literature1▲ 133×1 topic
- Biomedical Ontologies1▲ 133×1 topic
- COVID-191▲ 2.3×7 topics
- Image Processing1▲ 7.1×2 topics
- Innovation1▲ 3.2×5 topics
- Patient Similarity1▲ 54×1 topic
- Predictive Modeling1▲ 11×1 topic
- Artificial Intelligence1▲ 2.2×5 topics
- Bioinformatics1▲ 26×4 topics
- Endothelial Dysfunction1▲ 13×2 topics
- Placental Development1▲ 46×1 topic
- Preeclampsia1▲ 38×1 topic
Which research topics does Bonn Aachen International Center for Information Technology publish most on?
By volume in 2022–2025: Computational Drug Discovery Methods, Philosophy and History of Science, Biomedical Text Mining and Ontologies and Machine Learning in Healthcare.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Computational Drug Discovery Methods Computational Theory and Mathematics 1 works
- 2 Philosophy and History of Science History and Philosophy of Science 1 works
- 3 Biomedical Text Mining and Ontologies Molecular Biology 1 works
- 4 Machine Learning in Healthcare Artificial Intelligence 1 works
- 5 Pregnancy and preeclampsia studies Obstetrics and Gynecology 1 works
- 6 Bioinformatics and Genomic Networks Molecular Biology 1 works
- 7 Topic Modeling Artificial Intelligence 1 works
- 8 Gene expression and cancer classification Molecular Biology 1 works
- 9 History of Science and Medicine History and Philosophy of Science 1 works
- 10 Cell Image Analysis Techniques Biophysics 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 Bonn Aachen International Center for Information Technology's research output changed?
Output in 2018–2022 was 59% 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 Bonn
- University of Bonn
- University Hospital Bonn
- IZA - Institute of Labor Economics
- Max Planck Institute for Radio Astronomy
- German Center for Neurodegenerative Diseases
- Universitäts-Augenklinik Bonn
- Zentrum für Kinderheilkunde
- Max Planck Institute for Mathematics
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.