- World rank, all time
- #28,911 of 42,892
- Rank in ??
- #539 of 1,041
- Research works
- 159 ▲ 33% vs 2013–17
- Citations
- 1.1k 7.2 per fractional work
- Top-10% rate
- 18.0% record average 16.5%
- Open access
- 50% 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: Pharmacology, Toxicology and Pharmaceutics, 6.9×. Every wedge is a field page.
- Pharmacology, Toxicology and Pharmaceutics 6.9×
- Health Professions 5.8×
- Computer Science 3.2×
- Decision Sciences 2.6×
- Nursing 2.3×
- Biochemistry, Genetics and Molecular Biology 1.9×
- Medicine 1.6×
- Dentistry 1.0×
- Mathematics 1.0×
- Immunology and Microbiology 0.8×
- Neuroscience 0.7×
- Psychology 0.5×
- Social Sciences 0.5×
- Economics, Econometrics and Finance 0.3×
- Business, Management and Accounting 0.3×
- Environmental Science 0.1×
- Chemistry 0.1×
- Arts and Humanities 0.1×
- Agricultural and Biological Sciences 0.0×
- Engineering 0.0×
- Physics and Astronomy 0.0×
Who are the top researchers at Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé?
Ranked on the composite score, Jean-Baptiste Lamy, Cédric Bousquet and Brigitte Séroussi lead among researchers whose main affiliation is Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé.
- 1 Jean-Baptiste Lamy ?? · #206,517 worldwide 90 citations · 42 works
- 2 Cédric Bousquet ?? · #562,104 worldwide 84 citations · 50 works
- 3 Brigitte Séroussi ?? · #757,262 worldwide 40 citations · 56 works
- 4 Laurent Toubiana ?? · #854,589 worldwide 20 citations · 19 works
- 5 Karima Sedki ?? · #913,866 worldwide 22 citations · 17 works
- 6 Jean Charlet ?? · #1,031,571 worldwide 23 citations · 46 works
- 7 Sylvie Desprès ?? · #1,489,421 worldwide 5 citations · 20 works
- 8 Pascal Vaillant ?? · #1,614,173 worldwide 5 citations · 16 works
Which keywords describe research at Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Data Integration, Semantic Web, Knowledge Management, Natural Language Processing, Electronic Health Records, Biomedical Ontologies, Text Mining and Healthcare.
- Patient Outcomes
- Medical Image Analysis
- Text Classification
- Information Retrieval
- Healthcare Policy
- Medical Imaging
- Digital Health
- Health Information Exchange
- Big Data
- Primary Care
- Medication Errors
- Social Determinants of Health
- Ontology
- Description Logics
- Epidemiology
- Healthcare
- Text Mining
- Electronic Health Records
- Machine Learning
- Semantic Web
- Data Integration
- Knowledge Management
- Natural Language Processing
- Biomedical Ontologies
- Deep Learning
- Precision Medicine
- Knowledge Representation
- Linked Data
- Public Health
- Neural Networks
- Physician Burnout
- Predictive Modeling
- Clinical Decision Support Systems
- Convolutional Neural Networks
- Clinical Event Prediction
- Patient Similarity
- Inequalities
- Machine Translation
- Word Representation
- Health Equity
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
- Data Integration6▲ 82×3 topics
- Semantic Web6▲ 138×2 topics
- Knowledge Management4▲ 16×5 topics
- Machine Learning4▲ 2.6×23 topics
- Natural Language Processing4▲ 36×4 topics
- Electronic Health Records4▲ 88×3 topics
- Biomedical Ontologies4▲ 316×1 topic
- Text Mining4▲ 60×1 topic
- Deep Learning4▲ 2.2×16 topics
- Healthcare4▲ 6.6×9 topics
- Precision Medicine3▲ 13×5 topics
- Epidemiology3▲ 1.54×33 topics
- Knowledge Representation3▲ 63×3 topics
- Description Logics2▲ 112×2 topics
- Linked Data2▲ 119×1 topic
- Ontology2▲ 60×1 topic
- Public Health2▲ 3.2×10 topics
- Social Determinants of Health2▲ 21×4 topics
- Neural Networks2▲ 2.7×6 topics
- Medication Errors2▲ 86×2 topics
- Physician Burnout2▲ 53×2 topics
- Primary Care2▲ 11×6 topics
- Predictive Modeling2▲ 14×2 topics
- Big Data2▲ 4.0×6 topics
- Clinical Decision Support Systems2▲ 161×1 topic
- Health Information Exchange2▲ 161×1 topic
- Convolutional Neural Networks2▲ 4.6×4 topics
- Digital Health2▲ 30×3 topics
- Clinical Event Prediction2▲ 57×1 topic
- Medical Imaging2▲ 6.4×3 topics
- Patient Similarity2▲ 57×1 topic
- Healthcare Policy1▲ 32×1 topic
- Inequalities1▲ 87×1 topic
- Information Retrieval1▲ 14×2 topics
- Machine Translation1▲ 18×2 topics
- Text Classification1▲ 18×1 topic
- Word Representation1▲ 24×1 topic
- Medical Image Analysis1▲ 15×3 topics
- Health Equity1▲ 9.0×2 topics
- Patient Outcomes1▲ 41×3 topics
Which research topics does Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé publish most on?
By volume in 2022–2025: Biomedical Text Mining and Ontologies, Semantic Web and Ontologies, Electronic Health Records Systems and Machine Learning in Healthcare.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Biomedical Text Mining and Ontologies Molecular Biology 4 works
- 2 Semantic Web and Ontologies Artificial Intelligence 2 works
- 3 Electronic Health Records Systems Health Information Management 2 works
- 4 Machine Learning in Healthcare Artificial Intelligence 2 works
- 5 Healthcare Systems and Practices General Health Professions 1 works
- 6 Topic Modeling Artificial Intelligence 1 works
- 7 Artificial Intelligence in Healthcare and Education Health Informatics 1 works
- 8 AI in cancer detection Artificial Intelligence 1 works
- 9 Pharmacovigilance and Adverse Drug Reactions Toxicology 1 works
- 10 Natural Language Processing Techniques 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 Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé's research output changed?
Output in 2018–2022 was 33% 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 Paris
- Centre de Recherches Psychanalyse, Médecine et Société
- Centre d’Études et de Recherches Interdisciplinaires en Lettres, Arts et Cinéma
- Groupe de recherche interdisciplinaire sur les processus d'information et de communication
- Sens, Texte, Informatique, Histoire
- Société Mathématique de France
- Groupe de Recherche Clinique en Neuro-urologie
- Education, Discours et Apprentissages
- Dispositifs d'information et de communication à l'ère du numérique - Paris Ile-de-france
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.