Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology
- World rank, 2022–2025
- #15,261 of 28,054 · #29,062 all time
- Rank in Pakistan
- #157 of 241
- Research works
- 134 fractional, all time
- Citations
- 2.4k 17.8 per fractional work
- Top-10% rate
- 27.2% record average 16.5%
- Open access
- 60% world 28%
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: Pharmacology, Toxicology and Pharmaceutics, 7.8×. Every wedge is a field page.
- Pharmacology, Toxicology and Pharmaceutics 7.8×
- Energy 2.6×
- Materials Science 1.9×
- Engineering 1.9×
- Computer Science 1.7×
- Nursing 1.7×
- Environmental Science 1.3×
- Neuroscience 1.3×
- Decision Sciences 1.2×
- Physics and Astronomy 1.1×
- Biochemistry, Genetics and Molecular Biology 0.9×
- Immunology and Microbiology 0.8×
- Medicine 0.7×
- Chemistry 0.7×
- Health Professions 0.7×
- Psychology 0.7×
- Agricultural and Biological Sciences 0.6×
- Business, Management and Accounting 0.6×
- Economics, Econometrics and Finance 0.6×
- Chemical Engineering 0.5×
- Mathematics 0.4×
- Earth and Planetary Sciences 0.4×
- Social Sciences 0.1×
- Arts and Humanities 0.0×
Which keywords describe research at Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Renewable Energy Integration, Power Electronics, Drug Delivery, Machine Learning, Nanoparticles, Biomedical Applications and Decentralized Control.
- Fault Tolerance
- Polymeric
- Biomaterials
- Regenerative Medicine
- Neuromorphic Computing
- Chitosan
- Distributed Power Generation
- Hydrogels
- Membrane Gas Separation
- Nanofiltration
- CO2 Capture
- Antioxidant
- Energy Efficiency
- Tissue Engineering
- Nanomaterials
- Environmental Impact
- Neural Networks
- Drug Delivery
- Biomedical Applications
- Machine Learning
- Deep Learning
- Nanoparticles
- Renewable Energy Integration
- Power Electronics
- Renewable Energy
- Nanocomposites
- Convolutional Neural Networks
- Decentralized Control
- Graphene
- Membrane Technology
- Desalination
- Energy Storage
- Mixed Matrix Membranes
- Smart Grid Applications
- Microgrid Control
- SARS-CoV-2
- Protein
- ACE2 Receptor
- Mucosal
- Cell Culture
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 Learning7▲ 2.2×38 topics
- Machine Learning6▲ 2.0×33 topics
- Nanoparticles4▲ 3.4×14 topics
- Biomedical Applications4▲ 3.4×15 topics
- Renewable Energy Integration4▲ 11×5 topics
- Drug Delivery4▲ 7.0×8 topics
- Power Electronics4▲ 11×4 topics
- Neural Networks3▲ 2.3×14 topics
- Renewable Energy3▲ 2.5×16 topics
- Environmental Impact3▲ 1.68×16 topics
- Nanocomposites2▲ 3.3×12 topics
- Nanomaterials2▲ 2.5×10 topics
- Convolutional Neural Networks2▲ 3.3×12 topics
- Tissue Engineering2▲ 4.0×7 topics
- Decentralized Control2▲ 19×2 topics
- Energy Efficiency2▲ 2.5×11 topics
- Graphene2▲ 3.4×7 topics
- Antioxidant2▲ 3.2×15 topics
- Membrane Technology2▲ 27×2 topics
- CO2 Capture2▲ 14×2 topics
- Desalination2▲ 35×1 topic
- Nanofiltration2▲ 35×1 topic
- Energy Storage2▲ 3.2×6 topics
- Membrane Gas Separation2▲ 83×1 topic
- Mixed Matrix Membranes2▲ 83×1 topic
- Hydrogels2▲ 10×4 topics
- Smart Grid Applications2▲ 14×2 topics
- Distributed Power Generation2▲ 17×1 topic
- Microgrid Control2▲ 17×1 topic
- Chitosan2▲ 21×2 topics
- SARS-CoV-22▲ 4.8×4 topics
- Neuromorphic Computing1▲ 12×2 topics
- Protein1▲ 13×2 topics
- Regenerative Medicine1▲ 6.0×3 topics
- ACE2 Receptor1▲ 5.8×2 topics
- Biomaterials1▲ 6.1×4 topics
- Mucosal1▲ 43×1 topic
- Polymeric1▲ 43×1 topic
- Cell Culture1▲ 11×3 topics
- Fault Tolerance1▲ 8.2×2 topics
Which research topics does Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology publish most on?
By volume in 2022–2025: Membrane Separation Technologies, Membrane Separation and Gas Transport, Microgrid Control and Optimization and Advanced Drug Delivery Systems.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Membrane Separation Technologies Water Science and Technology 2 works
- 2 Membrane Separation and Gas Transport Mechanical Engineering 2 works
- 3 Microgrid Control and Optimization Control and Systems Engineering 2 works
- 4 Advanced Drug Delivery Systems Pharmaceutical Science 1 works
- 5 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 1 works
- 6 Hydrogels: synthesis, properties, applications Molecular Medicine 1 works
- 7 Multilevel Inverters and Converters Electrical and Electronic Engineering 1 works
- 8 Advanced Memory and Neural Computing Electrical and Electronic Engineering 1 works
- 9 SARS-CoV-2 and COVID-19 Research Infectious Diseases 1 works
- 10 Dust and Plasma Wave Phenomena Atomic and Molecular Physics, and Optics 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 Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology's research output changed?
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.