IBM (France)
In research, IBM (France) stands highest in Physical Sciences (#13,780 of 21,541 worldwide), over all time.
- World rank, all time
- #24,440 of 42,892
- Rank in France
- #1,463 of 2,321
- Research works
- 250 ▼ 11% vs 2013–17
- Citations
- 6.1k 24.5 per fractional work
- Top-10% rate
- 6.5% record average 16.5%
- Open access
- 24% world 28%
What is IBM (France) 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 |
|---|---|---|---|---|
| Physical SciencesDomain | #13,780 of 21,541 | 18.6% | 196 |
Each strip is that field’s whole ranked pool, with the notch where IBM (France) 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: Computer Science, 6.4×. Every wedge is a field page.
- Computer Science 6.4×
- Business, Management and Accounting 5.4×
- Physics and Astronomy 2.9×
- Economics, Econometrics and Finance 0.9×
- Neuroscience 0.9×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Health Professions 0.6×
- Engineering 0.4×
- Medicine 0.4×
- Materials Science 0.3×
- Psychology 0.3×
- Social Sciences 0.2×
Who are the top researchers at IBM (France)?
Ranked on the composite score, Patrick Albert lead among researchers whose main affiliation is IBM (France).
- 1 Patrick Albert France · #1,384,964 worldwide 14 citations · 15 works
Which keywords describe research at IBM (France)?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Distributed Systems, Convolutional Neural Networks, Neural Networks, Deep Neural Networks, Genetic Algorithm, High-Performance Computing and Knowledge Representation.
- Sign Language
- Parallel Computing
- Process Variation
- Task Scheduling
- Workflow Management
- Linked Data
- Constraint Optimization
- Semantic Web
- Big Data
- Ontology
- Resource Management
- Speaker Verification
- Acoustic Modeling
- Statistical Machine Translation
- Description Logics
- Hidden Markov Models
- High-Performance Computing
- Deep Neural Networks
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Distributed Systems
- Machine Learning
- Genetic Algorithm
- Knowledge Representation
- Corpus Linguistics
- Neural Machine Translation
- Data Integration
- Graph Coloring
- Model Checking
- Scheduling
- Hyperspectral Imaging
- Fault Tolerance
- Phase Transitions
- Distributed Algorithms
- RDF
- Grid Computing
- Dynamic Scheduling
- Semidefinite Programming
- Fault Localization
Size is fractional works in all years 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 Learning22▲ 4.1×30 topics
- Neural Networks11▲ 4.3×13 topics
- Distributed Systems10▲ 16×6 topics
- Convolutional Neural Networks9▲ 8.4×7 topics
- Machine Learning9▲ 1.61×29 topics
- Deep Neural Networks7▲ 45×3 topics
- Genetic Algorithm7▲ 15×4 topics
- High-Performance Computing7▲ 19×2 topics
- Knowledge Representation6▲ 18×3 topics
- Hidden Markov Models6▲ 38×2 topics
- Corpus Linguistics6▲ 13×2 topics
- Description Logics6▲ 25×2 topics
- Neural Machine Translation6▲ 30×1 topic
- Statistical Machine Translation6▲ 30×1 topic
- Data Integration6▲ 9.8×5 topics
- Acoustic Modeling6▲ 72×1 topic
- Graph Coloring6▲ 102×2 topics
- Speaker Verification6▲ 72×1 topic
- Model Checking6▲ 21×3 topics
- Resource Management6▲ 13×2 topics
- Scheduling6▲ 28×3 topics
- Ontology6▲ 13×2 topics
- Hyperspectral Imaging5▲ 6.5×3 topics
- Big Data5▲ 3.7×8 topics
- Fault Tolerance5▲ 9.7×5 topics
- Semantic Web5▲ 13×2 topics
- Phase Transitions5▲ 13×2 topics
- Constraint Optimization4▲ 122×1 topic
- Distributed Algorithms4▲ 122×1 topic
- Linked Data4▲ 24×1 topic
- RDF4▲ 27×1 topic
- Workflow Management4▲ 19×2 topics
- Grid Computing4▲ 26×1 topic
- Task Scheduling4▲ 26×1 topic
- Dynamic Scheduling4▲ 30×2 topics
- Process Variation4▲ 17×2 topics
- Semidefinite Programming4▲ 37×2 topics
- Parallel Computing4▲ 8.5×3 topics
- Fault Localization4▲ 17×2 topics
- Sign Language4▲ 32×2 topics
Which research topics does IBM (France) publish most on?
By volume in 2022–2025: Big Data and Business Intelligence, Advanced Computational Techniques and Applications, Distributed and Parallel Computing Systems and Particle Detector Development and Performance.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Big Data and Business Intelligence Management Information Systems 1 works
- 2 Advanced Computational Techniques and Applications Artificial Intelligence 1 works
- 3 Distributed and Parallel Computing Systems Computer Networks and Communications 0 works
- 4 Particle Detector Development and Performance Nuclear and High Energy Physics 0 works
- 5 Constraint Satisfaction and Optimization Computer Networks and Communications 0 works
- 6 Scheduling and Optimization Algorithms Industrial and Manufacturing Engineering 0 works
- 7 Network Security and Intrusion Detection Computer Networks and Communications 0 works
- 8 Software-Defined Networks and 5G Computer Networks and Communications 0 works
- 9 Software System Performance and Reliability Computer Networks and Communications 0 works
- 10 Cybersecurity and Cyber Warfare Studies Political Science and International Relations 0 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 IBM (France)'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 Paris
- Centre National de la Recherche Scientifique
- Inserm
- Sorbonne Université
- Université Paris Cité
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives
- Université Paris 1 Panthéon-Sorbonne
- Institut Pasteur
- Assistance Publique – Hôpitaux de Paris
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.