Institute of Engineering
In research, Institute of Engineering stands highest in Engineering (#1,080 of 6,636 worldwide), Physical Sciences (#2,491 of 12,888 worldwide) and Computer Science (#1,203 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Health Information Management, Computer Networks and Communications and Human-Computer Interaction — Health Information Management is 6.1× its share of world research.
- World rank, 2022–2025
- #3,613 of 28,054 · #6,751 all time
- Rank in Nepal
- #3 of 56
- Research works
- 10k ▲ 39% vs 2013–17
- Citations
- 40k 3.8 per fractional work
- Top-10% rate
- 6.9% record average 16.5%
- Open access
- 52% world 28%
What is Institute of Engineering 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 | #1,080 of 6,636 | 5.0% | 1,361 | #1899 | |
| Physical SciencesDomain | #2,491 of 12,888 | 6.4% | 2,885 | #4468 | |
| Computer ScienceField | #1,203 of 4,667 | 7.0% | 1,035 | #2263 | |
| Health Information ManagementSubfield | #30 of 111 | 15.5% | 63 | — | |
| Health SciencesDomain | #3,880 of 11,982 | 9.8% | 337 | #8791 | |
| Information SystemsSubfield | #475 of 1,291 | 9.0% | 213 | #1151 | |
| Health ProfessionsField | #722 of 1,928 | 12.6% | 88 | #2184 | |
| Electrical and Electronic EngineeringSubfield | #1,085 of 2,318 | 4.1% | 374 | #1835 | |
| Social SciencesDomain | #4,958 of 10,521 | 7.4% | 462 | #8495 | |
| Computer Networks and CommunicationsSubfield | #369 of 705 | 8.1% | 189 | #1202 |
Each strip is that field’s whole ranked pool, with the notch where Institute of Engineering 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#1,899 #1,080
- Physical Sciences#4,468 #2,491
- Computer Science#2,263 #1,203
- Health Sciences#8,791 #3,880
- Information Systems#1,151 #475
- Health Professions#2,184 #722
- Electrical and Electronic Engineering#1,835 #1,085
- Social Sciences#8,495 #4,958
- Computer Networks and Communications#1,202 #369
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Institute of Engineering specialise in?
Where its research is concentrated relative to its size: Health Information Management takes 6.1× the share of its output that it takes of world research.
- Health Information ManagementSubfield · 62.5 works6.1×
- Computer Networks and CommunicationsSubfield · 188.9 works5.3×
- Human-Computer InteractionSubfield · 40.2 works4.9×
- Computer Vision and Pattern RecognitionSubfield · 202.8 works4.0×
- Signal ProcessingSubfield · 48.9 works4.0×
- Automotive EngineeringSubfield · 84.2 works4.0×
- Media TechnologySubfield · 44.5 works3.6×
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, 3.4×. Every wedge is a field page.
- Computer Science 3.4×
- Engineering 2.3×
- Energy 1.7×
- Decision Sciences 1.7×
- Neuroscience 1.2×
- Business, Management and Accounting 1.1×
- Materials Science 1.0×
- Chemical Engineering 1.0×
- Environmental Science 0.9×
- Health Professions 0.8×
- Pharmacology, Toxicology and Pharmaceutics 0.8×
- Agricultural and Biological Sciences 0.8×
- Chemistry 0.6×
- Psychology 0.5×
- Economics, Econometrics and Finance 0.5×
- Mathematics 0.4×
- Dentistry 0.4×
- Earth and Planetary Sciences 0.3×
- Physics and Astronomy 0.3×
- Medicine 0.3×
- Nursing 0.3×
- Social Sciences 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Arts and Humanities 0.2×
- Immunology and Microbiology 0.1×
- Veterinary 0.1×
Who are the top researchers at Institute of Engineering?
Ranked on the composite score, Ravin Kumar, B. M. Patre and Sujit Dutta lead among researchers whose main affiliation is Institute of Engineering.
- 1 Ravin Kumar Nepal · #384,696 worldwide 75 citations · 16 works
- 2 B. M. Patre Nepal · #407,081 worldwide 76 citations · 28 works
- 3 Sujit Dutta Nepal · #843,267 worldwide 32 citations · 20 works
- 4 Siegfried Vössner Nepal · #929,742 worldwide 5 citations · 24 works
- 5 Mohan P. Thakre Nepal · #1,258,609 worldwide 46 citations · 28 works
- 6 N. Arun Vignesh Nepal · #1,312,181 worldwide 40 citations · 30 works
- 7 Song Ji Nepal · #1,333,213 worldwide 3 citations · 18 works
- 8 T. Daniya Nepal · #1,432,178 worldwide 19 citations · 19 works
- 9 Liao Ming Nepal · #1,449,100 worldwide 3 citations · 17 works
- 10 Amrita Rai Nepal · #1,544,695 worldwide 15 citations · 23 works
Which keywords describe research at Institute of Engineering?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Internet of Things, Wireless Sensor Networks, Security, Healthcare, IoT and Convolutional Neural Networks.
- Heart Disease Prediction
- Medical Diagnosis
- Transfer Learning
- Cybersecurity
- Privacy
- Smart Home
- Crop Yield Prediction
- Feature Selection
- Smart Farming
- Big Data Analytics
- IoT Security
- Big Data
- Energy Efficiency
- Data Mining
- Image Processing
- Sustainability
- Wireless Sensor Networks
- Convolutional Neural Networks
- Healthcare
- Machine Learning
- Deep Learning
- Neural Networks
- Internet of Things
- Security
- IoT
- Artificial Intelligence
- Renewable Energy
- Environmental Monitoring
- Mechanical Properties
- Feature Extraction
- Medical Imaging
- Smart Cities
- Classification
- Internet of Things (IoT)
- Plant Disease Detection
- Cloud Computing
- Electric Vehicles
- Security and Privacy
- Logistic Regression
- Classification Models
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 Learning745▲ 5.5×80 topics
- Machine Learning620▲ 4.8×94 topics
- Neural Networks208▲ 3.4×39 topics
- Healthcare204▲ 4.6×16 topics
- Internet of Things204▲ 5.9×29 topics
- Convolutional Neural Networks176▲ 6.1×14 topics
- Security173▲ 6.7×23 topics
- Wireless Sensor Networks162▲ 9.0×21 topics
- IoT158▲ 11×18 topics
- Sustainability155▲ 1.60×62 topics
- Artificial Intelligence148▲ 2.7×44 topics
- Image Processing141▲ 8.0×14 topics
- Renewable Energy137▲ 2.4×41 topics
- Data Mining135▲ 4.5×20 topics
- Environmental Monitoring129▲ 8.5×11 topics
- Energy Efficiency126▲ 3.4×41 topics
- Mechanical Properties108▲ 2.8×36 topics
- Big Data108▲ 3.0×28 topics
- Feature Extraction102▲ 5.6×10 topics
- IoT Security101▲ 7.9×3 topics
- Medical Imaging97▲ 4.8×8 topics
- Big Data Analytics93▲ 11×5 topics
- Smart Cities89▲ 8.7×8 topics
- Smart Farming86▲ 19×2 topics
- Classification83▲ 4.5×10 topics
- Feature Selection76▲ 8.6×6 topics
- Internet of Things (IoT)74▲ 16×3 topics
- Crop Yield Prediction73▲ 18×1 topic
- Plant Disease Detection73▲ 18×1 topic
- Smart Home73▲ 11×4 topics
- Cloud Computing70▲ 6.3×14 topics
- Privacy68▲ 5.8×6 topics
- Electric Vehicles68▲ 5.8×5 topics
- Cybersecurity66▲ 6.9×5 topics
- Security and Privacy64▲ 8.4×3 topics
- Transfer Learning64▲ 8.3×3 topics
- Logistic Regression58▲ 15×2 topics
- Medical Diagnosis58▲ 15×2 topics
- Classification Models58▲ 16×1 topic
- Heart Disease Prediction58▲ 16×1 topic
Which research topics does Institute of Engineering publish most on?
By volume in 2022–2025: Smart Agriculture and AI, Artificial Intelligence in Healthcare, IoT-based Smart Home Systems and IoT and Edge/Fog Computing.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Smart Agriculture and AI Plant Science 73 works
- 2 Artificial Intelligence in Healthcare Health Information Management 58 works
- 3 IoT-based Smart Home Systems Electrical and Electronic Engineering 49 works
- 4 IoT and Edge/Fog Computing Computer Networks and Communications 45 works
- 5 Blockchain Technology Applications and Security Information Systems 38 works
- 6 Brain Tumor Detection and Classification Neurology 34 works
- 7 Network Security and Intrusion Detection Computer Networks and Communications 34 works
- 8 IoT and GPS-based Vehicle Safety Systems Mechanical Engineering 31 works
- 9 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 28 works
- 10 Advanced Battery Technologies Research Automotive Engineering 27 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 Institute of Engineering's research output changed?
Output in 2018–2022 was 39% 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.
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.