Hewlett Packard Enterprise (United States)
In research, Hewlett Packard Enterprise (United States) stands highest in Physical Sciences (#6,032 of 12,888 worldwide), Engineering (#3,318 of 6,636 worldwide) and Computer Science (#2,608 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Electrical and Electronic Engineering, Artificial Intelligence and Computer Science — Electrical and Electronic Engineering is 8.2× its share of world research.
- World rank, 2022–2025
- #10,638 of 28,054 · #9,985 all time
- Rank in United States
- #1,442 of 4,192
- Research works
- 529 ▲ 141% vs 2013–17
- Citations
- 9.4k 17.8 per fractional work
- Top-10% rate
- 19.1% record average 16.5%
- Open access
- 28% world 28%
What is Hewlett Packard Enterprise (United States) 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #6,032 of 12,888 | 18.6% | 153 | #7244 | |
| EngineeringField | #3,318 of 6,636 | 18.6% | 66 | #4971 | |
| Computer ScienceField | #2,608 of 4,667 | 19.0% | 71 | #3852 |
Each strip is that field’s whole ranked pool, with the notch where Hewlett Packard Enterprise (United States) 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).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Physical Sciences#7,244 #6,032
- Engineering#4,971 #3,318
- Computer Science#3,852 #2,608
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Hewlett Packard Enterprise (United States) specialise in?
Where its research is concentrated relative to its size: Electrical and Electronic Engineering takes 8.2× the share of its output that it takes of world research.
- Electrical and Electronic EngineeringSubfield · 51.2 works8.2×
- Artificial IntelligenceSubfield · 23.4 works5.5×
- Computer ScienceField · 71.1 works5.2×
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: Computer Science, 5.2×. Every wedge is a field page.
- Computer Science 5.2×
- Decision Sciences 3.0×
- Physics and Astronomy 2.8×
- Engineering 2.5×
- Business, Management and Accounting 0.6×
- Neuroscience 0.4×
- Materials Science 0.3×
- Mathematics 0.3×
- Health Professions 0.2×
- Chemical Engineering 0.2×
- Social Sciences 0.2×
- Economics, Econometrics and Finance 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Psychology 0.2×
- Earth and Planetary Sciences 0.1×
- Medicine 0.1×
- Environmental Science 0.1×
- Arts and Humanities 0.1×
- Nursing 0.1×
- Agricultural and Biological Sciences 0.0×
- Chemistry 0.0×
Who are the top researchers at Hewlett Packard Enterprise (United States)?
Ranked on the composite score, Géza Kurczveil, Di Liang and Yuan Yuan lead among researchers whose main affiliation is Hewlett Packard Enterprise (United States).
- 1 Géza Kurczveil United States · #253,635 worldwide 158 citations · 39 works
- 2 Di Liang United States · #323,171 worldwide 215 citations · 66 works
- 3 Yuan Yuan United States · #389,500 worldwide 117 citations · 38 works
- 4 Binhao Wang United States · #776,345 worldwide 55 citations · 28 works
- 5 Yiwei Peng United States · #1,163,451 worldwide 35 citations · 15 works
Which keywords describe research at Hewlett Packard Enterprise (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Biosensors, Integrated Circuits, Optical Modulators, Microcavities, Silicon Photonics, Machine Learning, Distributed Systems and Deep Learning.
- Resistive Switching
- Memristor
- Grid Computing
- Network Coding
- Fault Tolerance
- Workflow Management
- Performance Optimization
- GPU Computing
- Data Centers
- Cloud Computing
- Microwave Photonics
- Neuromorphic Photonics
- Coherent Detection
- Digital Signal Processing
- Parallel Computing
- Semiconductor Lasers
- Distributed Systems
- Optical Modulators
- Integrated Circuits
- Biosensors
- Machine Learning
- Deep Learning
- Microcavities
- Silicon Photonics
- Neural Networks
- Big Data
- Resource Management
- High-Performance Computing
- Optical Fiber
- Photonic Reservoir Computing
- Energy Efficiency
- Virtualization
- MapReduce
- Optical Access Networks
- Photonic Signal Processing
- Security
- Distributed Storage
- Neuromorphic Computing
- Task Scheduling
- Metal Oxides
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
- Machine Learning22▲ 3.9×36 topics
- Biosensors19▲ 21×6 topics
- Deep Learning19▲ 3.1×46 topics
- Integrated Circuits18▲ 65×3 topics
- Microcavities17▲ 87×1 topic
- Optical Modulators17▲ 66×2 topics
- Silicon Photonics17▲ 90×1 topic
- Distributed Systems14▲ 50×5 topics
- Neural Networks14▲ 5.0×21 topics
- Semiconductor Lasers12▲ 97×2 topics
- Big Data11▲ 7.1×10 topics
- Parallel Computing10▲ 50×4 topics
- Resource Management10▲ 33×2 topics
- Digital Signal Processing10▲ 114×2 topics
- High-Performance Computing10▲ 67×2 topics
- Coherent Detection10▲ 126×1 topic
- Optical Fiber10▲ 51×1 topic
- Neuromorphic Photonics8▲ 158×1 topic
- Photonic Reservoir Computing8▲ 158×1 topic
- Microwave Photonics8▲ 50×2 topics
- Energy Efficiency7▲ 4.4×6 topics
- Cloud Computing7▲ 14×4 topics
- Virtualization7▲ 48×2 topics
- Data Centers6▲ 61×1 topic
- MapReduce6▲ 61×1 topic
- GPU Computing6▲ 92×1 topic
- Optical Access Networks6▲ 105×1 topic
- Performance Optimization6▲ 55×1 topic
- Photonic Signal Processing6▲ 105×1 topic
- Workflow Management6▲ 46×2 topics
- Security5▲ 4.5×8 topics
- Fault Tolerance4▲ 15×4 topics
- Distributed Storage4▲ 79×1 topic
- Network Coding4▲ 46×1 topic
- Neuromorphic Computing4▲ 19×2 topics
- Grid Computing4▲ 61×1 topic
- Task Scheduling4▲ 61×1 topic
- Memristor3▲ 21×1 topic
- Metal Oxides3▲ 14×2 topics
- Resistive Switching3▲ 21×1 topic
Which research topics does Hewlett Packard Enterprise (United States) publish most on?
By volume in 2022–2025: Photonic and Optical Devices, Optical Network Technologies, Neural Networks and Reservoir Computing and Cloud Computing and Resource Management.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Photonic and Optical Devices Electrical and Electronic Engineering 17 works
- 2 Optical Network Technologies Electrical and Electronic Engineering 10 works
- 3 Neural Networks and Reservoir Computing Artificial Intelligence 8 works
- 4 Cloud Computing and Resource Management Information Systems 6 works
- 5 Parallel Computing and Optimization Techniques Hardware and Architecture 6 works
- 6 Advanced Photonic Communication Systems Electrical and Electronic Engineering 6 works
- 7 Advanced Data Storage Technologies Computer Networks and Communications 4 works
- 8 Distributed and Parallel Computing Systems Computer Networks and Communications 4 works
- 9 Advanced Memory and Neural Computing Electrical and Electronic Engineering 3 works
- 10 Semiconductor Lasers and Optical Devices Electrical and Electronic Engineering 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 Hewlett Packard Enterprise (United States)'s research output changed?
Output in 2018–2022 was 141% 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 Palo Alto
- Hewlett-Packard (United States)
- Electric Power Research Institute
- Palo Alto Research Center
- Palo Alto University
- VA Palo Alto Health Care System
- Varian Medical Systems (United States)
- Science Exchange (United States)
- Lucile Packard Children's Hospital
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.