L3S Research Center
In research, L3S Research Center stands highest in Computer Science (#2,745 of 4,667 worldwide) and Physical Sciences (#8,446 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 12.2× its share of world research.
- World rank, 2022–2025
- #11,204 of 28,054 · #3,975 all time
- Rank in Germany
- #448 of 1,178
- Research works
- 1.7k ▼ 11% vs 2013–17
- Citations
- 39k 22.7 per fractional work
- Top-10% rate
- 27.8% record average 16.5%
- Open access
- 30% world 28%
What is L3S Research Center 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 | #2,745 of 4,667 | 30.4% | 100 | #1804 | |
| Physical SciencesDomain | #8,446 of 12,888 | 27.0% | 133 | #2619 |
Each strip is that field’s whole ranked pool, with the notch where L3S Research Center 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).
What does L3S Research Center specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 12.2× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 58.0 works12×
- Computer ScienceField · 99.6 works6.5×
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, 6.5×. Every wedge is a field page.
- Computer Science 6.5×
- Decision Sciences 4.6×
- Neuroscience 1.2×
- Mathematics 0.8×
- Social Sciences 0.8×
- Engineering 0.8×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Physics and Astronomy 0.7×
- Arts and Humanities 0.6×
- Earth and Planetary Sciences 0.5×
- Health Professions 0.5×
- Business, Management and Accounting 0.5×
- Economics, Econometrics and Finance 0.5×
- Psychology 0.4×
- Medicine 0.2×
- Immunology and Microbiology 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Chemical Engineering 0.2×
- Agricultural and Biological Sciences 0.1×
- Materials Science 0.1×
- Chemistry 0.1×
- Environmental Science 0.1×
- Energy 0.1×
- Dentistry 0.1×
Who are the top researchers at L3S Research Center?
Ranked on the composite score, R. Bormann, Wolfgang Nejdl and F. Appel lead among researchers whose main affiliation is L3S Research Center.
- 1 R. Bormann Germany · #76,274 worldwide 565 citations · 39 works
- 2 Wolfgang Nejdl Germany · #198,776 worldwide 777 citations · 157 works
- 3 F. Appel Germany · #201,516 worldwide 204 citations · 39 works
- 4 Thomas Risse Germany · #286,181 worldwide 97 citations · 35 works
- 5 R. Doerffer Germany · #376,974 worldwide 118 citations · 24 works
- 6 H. Schwenke Germany · #386,655 worldwide 43 citations · 22 works
- 7 Elena Demidova Germany · #389,228 worldwide 123 citations · 32 works
- 8 W. Brocks Germany · #424,111 worldwide 94 citations · 37 works
- 9 F.P. Schimansky Germany · #435,638 worldwide 168 citations · 21 works
- 10 Richard Wagner Germany · #450,672 worldwide 294 citations · 232 works
Which keywords describe research at L3S Research Center?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Information Retrieval, Data Integration, Text Classification, Topic Modeling and Machine Translation.
- Misinformation
- Data Cleaning
- Statistical Machine Translation
- Corpus Linguistics
- Deep Neural Networks
- Knowledge Graph Embedding
- Feature Extraction
- Heterogeneous Networks
- Time Series
- RDF
- Semi-Supervised Learning
- Knowledge Representation
- Graph Convolutional Networks
- Linked Data
- Word Representation
- Semantic Web
- Topic Modeling
- Social Media
- Information Retrieval
- Neural Networks
- Deep Learning
- Machine Learning
- Data Integration
- Text Classification
- Machine Translation
- Semantic Similarity
- Big Data
- Representation Learning
- Data Mining
- Natural Language Processing
- Ontology
- Security
- Text Mining
- Classification
- Graph Neural Networks
- Surveillance
- Polarization
- Neural Machine Translation
- Information Quality
- Fake News
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 Learning43▲ 6.3×50 topics
- Neural Networks30▲ 9.9×22 topics
- Machine Learning25▲ 3.8×43 topics
- Information Retrieval15▲ 34×4 topics
- Data Integration12▲ 38×4 topics
- Social Media12▲ 4.1×12 topics
- Text Classification12▲ 37×3 topics
- Topic Modeling10▲ 36×2 topics
- Machine Translation10▲ 31×2 topics
- Semantic Web10▲ 55×5 topics
- Semantic Similarity10▲ 42×1 topic
- Word Representation10▲ 42×1 topic
- Big Data9▲ 5.0×13 topics
- Linked Data6▲ 79×2 topics
- Representation Learning6▲ 22×3 topics
- Graph Convolutional Networks6▲ 27×2 topics
- Data Mining6▲ 3.9×6 topics
- Knowledge Representation6▲ 33×2 topics
- Natural Language Processing6▲ 12×5 topics
- Semi-Supervised Learning6▲ 26×3 topics
- Ontology6▲ 35×1 topic
- RDF6▲ 84×1 topic
- Security6▲ 4.3×8 topics
- Time Series5▲ 15×3 topics
- Text Mining5▲ 20×3 topics
- Heterogeneous Networks5▲ 24×2 topics
- Classification4▲ 4.9×6 topics
- Feature Extraction4▲ 4.9×5 topics
- Graph Neural Networks4▲ 47×1 topic
- Knowledge Graph Embedding4▲ 47×1 topic
- Surveillance4▲ 8.1×3 topics
- Deep Neural Networks4▲ 19×3 topics
- Polarization4▲ 13×2 topics
- Corpus Linguistics4▲ 9.0×2 topics
- Neural Machine Translation4▲ 19×1 topic
- Statistical Machine Translation4▲ 19×1 topic
- Information Quality4▲ 30×2 topics
- Data Cleaning3▲ 58×1 topic
- Fake News3▲ 26×1 topic
- Misinformation3▲ 26×1 topic
Which research topics does L3S Research Center publish most on?
By volume in 2022–2025: Topic Modeling, Semantic Web and Ontologies, Advanced Graph Neural Networks and Natural Language Processing Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 10 works
- 2 Semantic Web and Ontologies Artificial Intelligence 6 works
- 3 Advanced Graph Neural Networks Artificial Intelligence 4 works
- 4 Natural Language Processing Techniques Artificial Intelligence 4 works
- 5 Data Quality and Management Management Science and Operations Research 3 works
- 6 Misinformation and Its Impacts Sociology and Political Science 3 works
- 7 Biomedical Text Mining and Ontologies Molecular Biology 3 works
- 8 Privacy-Preserving Technologies in Data Artificial Intelligence 3 works
- 9 Adversarial Robustness in Machine Learning Artificial Intelligence 3 works
- 10 Time Series Analysis and Forecasting Signal Processing 3 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 L3S Research Center's research output changed?
Output in 2018–2022 was 11% 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 Hanover
- Medizinische Hochschule Hannover
- Leibniz University Hannover
- University of Veterinary Medicine Hannover, Foundation
- Federal Institute for Geosciences and Natural Resources
- Laser Zentrum Hannover
- KRH Klinikum Nordstadt
- ExxonMobil (Germany)
- Hochschule Hannover
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.