GS Engineering (United States)
In research, GS Engineering (United States) stands highest in Engineering (#2,556 of 5,901 worldwide), Physical Sciences (#5,042 of 10,670 worldwide) and Computer Science (#2,955 of 4,417 worldwide), 2022-now. Relative to its size it is most specialised in Computer Networks and Communications, Computer Vision and Pattern Recognition and Computer Science (Computer Networks and Communications is 6.2× its share of world research).
- World rank, 2022-now
- #7,675 of 22,385 · #9,121 all time
- Rank in United States
- #1,033 of 3,332
- Research works
- 897 ▲ 190% vs 2018-21
- Citations
- 4.4k 5.0 per fractional work
- Top-10% rate
- 7.4% all institutions 10.0%
- vs its own fields
- 0.79× 1.00× is exactly expected
- Open access
- 40% world 40%
- International
- 47% world 18%
What is GS Engineering (United States) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| EngineeringField | #2,556 of 5,901 | 7.1% | 149 | #3071 | |
| Physical SciencesDomain | #5,042 of 10,670 | 6.3% | 323 | #4384 | |
| Computer ScienceField | #2,955 of 4,417 | 5.1% | 126 | #3643 |
Each strip is that field's whole ranked pool, with the notch where GS Engineering (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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Engineering#3,071 #2,556
- Physical Sciences#4,384 #5,042
- Computer Science#3,643 #2,955
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does GS Engineering (United States) work in?
In 2022-now, 74% of research at GS Engineering (United States) is in Physical Sciences, 10% in Social Sciences. Its largest fields are Engineering (34%), Computer Science (29%), Medicine (6%). It does 1.9× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 26 fields, with their numbers
- Physical Sciences42074.3%
- Engineering19233.9%
- Computer Science16228.7%
- Materials Science213.8%
- Environmental Science183.2%
- Energy122.1%
- Physics and Astronomy50.8%
- Chemistry40.7%
- Mathematics30.5%
- Earth and Planetary Sciences20.4%
- Chemical Engineering10.2%
- Social Sciences5610.0%
- Business, Management and Accounting173.0%
- Social Sciences122.1%
- Decision Sciences101.9%
- Psychology91.5%
- Economics, Econometrics and Finance71.2%
- Arts and Humanities10.3%
- Health Sciences508.9%
- Medicine346.0%
- Health Professions142.5%
- Dentistry20.3%
- Nursing10.1%
- Veterinary00.0%
- Life Sciences386.8%
What does GS Engineering (United States) specialise in?
Where its research is concentrated relative to its size: Computer Networks and Communications takes 6.2× the share of its output that it takes of world research.
- Computer Networks and CommunicationsSubfield · 31.2 works6.2×
- Computer Vision and Pattern RecognitionSubfield · 36.4 works5.1×
- Computer ScienceField · 161.9 works3.7×
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, 3.7×. Every wedge is a field page.
All 26 fields, with their numbers
- Computer Science3.69×162 works
- Engineering2.26×192 works
- Energy2.25×12 works
- Decision Sciences1.92×10 works
- Neuroscience1.58×14 works
- Materials Science1.09×22 works
- Health Professions0.94×14 works
- Business, Management and Accounting0.92×17 works
- Dentistry0.69×2 works
- Environmental Science0.65×18 works
- Agricultural and Biological Sciences0.64×17 works
- Chemical Engineering0.62×1 works
- Economics, Econometrics and Finance0.58×7 works
- Psychology0.50×8 works
- Chemistry0.47×4 works
- Mathematics0.40×3 works
- Physics and Astronomy0.37×5 works
- Medicine0.31×34 works
- Earth and Planetary Sciences0.25×2 works
- Nursing0.25×1 works
- Pharmacology, Toxicology and Pharmaceutics0.24×0 works
- Biochemistry, Genetics and Molecular Biology0.17×5 works
- Social Sciences0.17×12 works
- Immunology and Microbiology0.16×1 works
- Arts and Humanities0.09×1 works
- Veterinary0.07×0 works
- Computer Science 3.7×
- Engineering 2.3×
- Energy 2.2×
- Decision Sciences 1.9×
- Neuroscience 1.6×
- Materials Science 1.1×
- Health Professions 0.9×
- Business, Management and Accounting 0.9×
- Dentistry 0.7×
- Environmental Science 0.7×
- Agricultural and Biological Sciences 0.6×
- Chemical Engineering 0.6×
- Economics, Econometrics and Finance 0.6×
- Psychology 0.5×
- Chemistry 0.5×
- Mathematics 0.4×
- Physics and Astronomy 0.4×
- Medicine 0.3×
- Earth and Planetary Sciences 0.2×
- Nursing 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Social Sciences 0.2×
- Immunology and Microbiology 0.2×
- Arts and Humanities 0.1×
- Veterinary 0.1×
Which keywords describe research at GS Engineering (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Security, Internet of Things, IoT, Wireless Sensor Networks, Convolutional Neural Networks and Healthcare.
- Medical Diagnosis
- Crop Yield Prediction
- Intrusion Detection
- Electric Vehicles
- Transfer Learning
- Home Automation
- Wireless
- Feature Selection
- Privacy
- Cybersecurity
- Smart Home
- Medical Imaging
- Energy Efficiency
- Renewable Energy
- Image Processing
- Artificial Intelligence
- Convolutional Neural Networks
- Neural Networks
- Internet of Things
- Machine Learning
- Deep Learning
- Security
- IoT
- Healthcare
- Wireless Sensor Networks
- Data Mining
- Environmental Monitoring
- Feature Extraction
- Big Data Analytics
- Classification
- IoT Security
- Smart Cities
- Cloud Computing
- Sensors
- Bluetooth
- Anomaly Detection
- RFID Technology
- Smart Farming
- Internet of Things (IoT)
- Plant Disease Detection
Size is fractional works in 2022-now 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 Learning123▲ 6.3×72 topics
- Machine Learning92▲ 4.9×76 topics
- Security37▲ 9.8×16 topics
- Internet of Things36▲ 7.4×22 topics
- IoT32▲ 15×15 topics
- Neural Networks30▲ 3.5×28 topics
- Healthcare30▲ 4.6×11 topics
- Convolutional Neural Networks29▲ 7.1×13 topics
- Wireless Sensor Networks29▲ 11×18 topics
- Artificial Intelligence24▲ 3.0×28 topics
- Data Mining23▲ 5.6×12 topics
- Image Processing21▲ 8.5×12 topics
- Environmental Monitoring19▲ 9.0×6 topics
- Renewable Energy19▲ 2.3×28 topics
- Feature Extraction19▲ 7.3×10 topics
- Energy Efficiency16▲ 3.1×26 topics
- Big Data Analytics15▲ 13×4 topics
- Medical Imaging15▲ 5.1×7 topics
- Classification15▲ 5.9×10 topics
- Smart Home15▲ 17×3 topics
- IoT Security15▲ 8.6×3 topics
- Cybersecurity14▲ 10×4 topics
- Smart Cities14▲ 9.1×8 topics
- Privacy13▲ 7.8×5 topics
- Cloud Computing12▲ 7.7×10 topics
- Feature Selection12▲ 10×6 topics
- Sensors12▲ 18×3 topics
- Wireless12▲ 44×2 topics
- Bluetooth12▲ 47×1 topic
- Home Automation12▲ 47×1 topic
- Anomaly Detection11▲ 7.0×4 topics
- Transfer Learning11▲ 10×3 topics
- RFID Technology11▲ 11×5 topics
- Electric Vehicles11▲ 6.6×5 topics
- Smart Farming11▲ 16×2 topics
- Intrusion Detection10▲ 12×3 topics
- Internet of Things (IoT)10▲ 15×2 topics
- Crop Yield Prediction10▲ 16×1 topic
- Plant Disease Detection10▲ 16×1 topic
- Medical Diagnosis9▲ 17×2 topics
Which research topics does GS Engineering (United States) publish most on?
By volume in 2022-now: IoT-based Smart Home Systems, Smart Agriculture and AI, Artificial Intelligence in Healthcare and Network Security and Intrusion Detection.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 IoT-based Smart Home Systems Electrical and Electronic Engineering 12 works
- 2 Smart Agriculture and AI Plant Science 10 works
- 3 Artificial Intelligence in Healthcare Health Information Management 9 works
- 4 Network Security and Intrusion Detection Computer Networks and Communications 8 works
- 5 IoT and GPS-based Vehicle Safety Systems Mechanical Engineering 7 works
- 6 Brain Tumor Detection and Classification Neurology 6 works
- 7 Blockchain Technology Applications and Security Information Systems 6 works
- 8 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 5 works
- 9 IoT and Edge/Fog Computing Computer Networks and Communications 5 works
- 10 Internet of Things and AI Information Systems 5 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: 40% of research is openly available.
World: 18% is written across borders.
How has GS Engineering (United States)'s research output changed?
Output in 2022-2025 was 190% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is GS Engineering (United States) as a percentage of every work published that year, 0.0019% in 2024.
Fractional works of GS Engineering (United States) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 9.1% in 2017.
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Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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