GS Engineering (United States)
In research, GS Engineering (United States) stands highest in Engineering (#4,400 of 6,636 worldwide), Physical Sciences (#9,360 of 12,888 worldwide) and Computer Science (#3,898 of 4,667 worldwide), 2022–2025. 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 6.6× its share of world research.
- World rank, 2022–2025
- #16,282 of 28,054 · #25,579 all time
- Rank in United States
- #2,317 of 4,192
- Research works
- 897 ▲ 103% vs 2013–17
- Citations
- 4.4k 5.0 per fractional work
- Top-10% rate
- 9.9% record average 16.5%
- Open access
- 40% world 28%
What is GS Engineering (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 |
|---|---|---|---|---|---|
| EngineeringField | #4,400 of 6,636 | 8.7% | 149 | #5795 | |
| Physical SciencesDomain | #9,360 of 12,888 | 9.7% | 323 | #14260 | |
| Computer ScienceField | #3,898 of 4,667 | 10.4% | 126 | #6104 |
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 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.
- Engineering#5,795 #4,400
- Physical Sciences#14,260 #9,360
- Computer Science#6,104 #3,898
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does GS Engineering (United States) specialise in?
Where its research is concentrated relative to its size: Computer Networks and Communications takes 6.6× the share of its output that it takes of world research.
- Computer Networks and CommunicationsSubfield · 25.6 works6.6×
- Computer Vision and Pattern RecognitionSubfield · 30.5 works5.6×
- Computer ScienceField · 125.5 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.
- Computer Science 3.7×
- Energy 2.3×
- Engineering 2.3×
- Decision Sciences 1.8×
- Neuroscience 1.7×
- Health Professions 1.1×
- Materials Science 1.0×
- Business, Management and Accounting 1.0×
- Chemical Engineering 0.7×
- Environmental Science 0.7×
- Economics, Econometrics and Finance 0.6×
- Agricultural and Biological Sciences 0.6×
- Dentistry 0.5×
- Psychology 0.5×
- Mathematics 0.4×
- Chemistry 0.3×
- Physics and Astronomy 0.3×
- Nursing 0.3×
- Medicine 0.3×
- Earth and Planetary Sciences 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Social Sciences 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Immunology and Microbiology 0.1×
- Arts and Humanities 0.1×
- Veterinary 0.1×
Which keywords describe research at GS Engineering (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Internet of Things, Security, IoT, Wireless Sensor Networks, Convolutional Neural Networks and Healthcare.
- RFID Technology
- Security Analysis
- Medical Diagnosis
- Smart Farming
- Cloud Computing
- Anomaly Detection
- Privacy
- Feature Selection
- Bluetooth
- Sensors
- Classification
- Medical Imaging
- Smart Home
- Environmental Monitoring
- Artificial Intelligence
- Data Mining
- Convolutional Neural Networks
- Healthcare
- Security
- Machine Learning
- Deep Learning
- Internet of Things
- IoT
- Neural Networks
- Wireless Sensor Networks
- Image Processing
- Renewable Energy
- Feature Extraction
- IoT Security
- Energy Efficiency
- Big Data Analytics
- Wireless
- Home Automation
- Cybersecurity
- Transfer Learning
- Smart Cities
- Intrusion Detection
- Classification Models
- Medical Image Analysis
- Convolutional Neural Network
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
- Deep Learning94▲ 6.3×71 topics
- Machine Learning70▲ 4.9×72 topics
- Internet of Things29▲ 7.8×22 topics
- Security27▲ 9.6×15 topics
- IoT24▲ 15×15 topics
- Healthcare24▲ 4.8×11 topics
- Neural Networks23▲ 3.4×26 topics
- Convolutional Neural Networks23▲ 7.1×13 topics
- Wireless Sensor Networks22▲ 11×17 topics
- Data Mining20▲ 6.0×11 topics
- Image Processing17▲ 8.9×12 topics
- Artificial Intelligence17▲ 2.8×27 topics
- Renewable Energy16▲ 2.5×25 topics
- Environmental Monitoring15▲ 9.0×6 topics
- Feature Extraction14▲ 7.3×9 topics
- Smart Home14▲ 19×3 topics
- IoT Security13▲ 9.3×3 topics
- Medical Imaging13▲ 5.8×7 topics
- Energy Efficiency12▲ 3.0×21 topics
- Classification12▲ 6.0×10 topics
- Big Data Analytics12▲ 12×4 topics
- Sensors12▲ 21×3 topics
- Wireless11▲ 51×2 topics
- Bluetooth11▲ 54×1 topic
- Home Automation11▲ 54×1 topic
- Feature Selection11▲ 11×6 topics
- Cybersecurity10▲ 9.5×4 topics
- Privacy10▲ 7.7×5 topics
- Transfer Learning10▲ 11×3 topics
- Anomaly Detection9▲ 7.1×4 topics
- Smart Cities9▲ 7.9×8 topics
- Cloud Computing8▲ 7.0×9 topics
- Intrusion Detection8▲ 13×3 topics
- Smart Farming8▲ 16×2 topics
- Classification Models8▲ 19×1 topic
- Medical Diagnosis8▲ 18×1 topic
- Medical Image Analysis7▲ 9.0×4 topics
- Security Analysis7▲ 9.6×4 topics
- Convolutional Neural Network7▲ 10×4 topics
- RFID Technology7▲ 9.1×5 topics
Which research topics does GS Engineering (United States) publish most on?
By volume in 2022–2025: IoT-based Smart Home Systems, Artificial Intelligence in Healthcare, Smart Agriculture and AI 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 11 works
- 2 Artificial Intelligence in Healthcare Health Information Management 8 works
- 3 Smart Agriculture and AI Plant Science 7 works
- 4 Network Security and Intrusion Detection Computer Networks and Communications 6 works
- 5 Brain Tumor Detection and Classification Neurology 5 works
- 6 Blockchain Technology Applications and Security Information Systems 5 works
- 7 Energy Efficient Wireless Sensor Networks Computer Networks and Communications 4 works
- 8 IoT and Edge/Fog Computing Computer Networks and Communications 4 works
- 9 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 4 works
- 10 Antenna Design and Analysis Aerospace Engineering 4 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 GS Engineering (United States)'s research output changed?
Output in 2018–2022 was 103% 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 Houghton
- Michigan Technological University
- Signature Research (United States)
- Great Lakes Sound and Vibration (United States)
- Endres Machining Innovations (United States)
- REL (United States)
- StabiLux Biosciences (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.