- World rank, all time
- #36,993 of 42,892
- Rank in United States
- #7,809 of 8,685
- Research works
- 150 ▲ 22% vs 2013–17
- Citations
- 2.9k 19.6 per fractional work
- Top-10% rate
- 11.6% record average 16.5%
- Open access
- 25% world 28%
What does eBay (United States) specialise in?
Where its research is concentrated relative to its size: Computer Science takes 9.2× the share of its output that it takes of world research.
- Computer ScienceField · 21.2 works9.2×
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: Decision Sciences, 9.2×. Every wedge is a field page.
Which keywords describe research at eBay (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Information Retrieval, Deep Learning, Neural Networks, Distributed Systems, Text Classification, Data Integration, Web Crawling and Web Data Extraction.
- High-Performance Computing
- Online Learning
- Word Representation
- Machine Translation
- Ontology
- Graph Neural Networks
- Big Data
- Web Crawling
- Text Classification
- Machine Learning
- Information Retrieval
- Deep Learning
- Neural Networks
- Distributed Systems
- Data Integration
- Web Data Extraction
- Semi-Supervised Learning
- Knowledge Graph Embedding
- Semantic Web
- Resource Management
- Cloud Computing
- Surveillance
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 22 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 22 words, with their numbers
- Deep Learning4▲ 4.5×14 topics
- Information Retrieval4▲ 67×4 topics
- Neural Networks3▲ 6.5×5 topics
- Machine Learning3▲ 3.0×15 topics
- Distributed Systems2▲ 47×5 topics
- Text Classification2▲ 46×3 topics
- Data Integration2▲ 42×2 topics
- Web Crawling2▲ 432×1 topic
- Web Data Extraction2▲ 432×1 topic
- Big Data2▲ 6.4×5 topics
- Semi-Supervised Learning2▲ 44×2 topics
- Graph Neural Networks1▲ 100×1 topic
- Knowledge Graph Embedding1▲ 100×1 topic
- Ontology1▲ 56×1 topic
- Semantic Web1▲ 48×1 topic
- Machine Translation1▲ 25×1 topic
- Resource Management1▲ 23×2 topics
- Word Representation1▲ 34×1 topic
- Cloud Computing1▲ 13×3 topics
- Online Learning1▲ 4.5×2 topics
- Surveillance1▲ 14×3 topics
- High-Performance Computing1▲ 41×2 topics
Which research topics does eBay (United States) publish most on?
By volume in 2022–2025: Web Data Mining and Analysis, Advanced Graph Neural Networks, Semantic Web and Ontologies and Topic Modeling.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Web Data Mining and Analysis Information Systems 2 works
- 2 Advanced Graph Neural Networks Artificial Intelligence 1 works
- 3 Semantic Web and Ontologies Artificial Intelligence 1 works
- 4 Topic Modeling Artificial Intelligence 1 works
- 5 Advanced Text Analysis Techniques Artificial Intelligence 1 works
- 6 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 1 works
- 7 Data Quality and Management Management Science and Operations Research 1 works
- 8 Advanced Statistical Process Monitoring Statistics, Probability and Uncertainty 1 works
- 9 Service-Oriented Architecture and Web Services Information Systems 1 works
- 10 Distributed and Parallel Computing Systems Computer Networks and Communications 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 eBay (United States)'s research output changed?
Output in 2018–2022 was 22% 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 San Jose
- San Jose State University
- IBM Research - Almaden
- ITRI International
- Altera (United States)
- Adobe Systems (United States)
- Cadence Design Systems (United States)
- Santa Clara Valley Medical Center
- Xilinx (United States)
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.