Gulbarga University
In research, Gulbarga University stands highest in Physical Sciences (#5,848 of 12,888 worldwide), Health Sciences (#10,153 of 11,982 worldwide) and Engineering (#5,666 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Computational Theory and Mathematics — Computational Theory and Mathematics is 10.3× its share of world research.
- World rank, 2022–2025
- #9,919 of 28,054 · #10,496 all time
- Rank in India
- #709 of 1,840
- Research works
- 2.8k ▼ 23% vs 2013–17
- Citations
- 39k 13.9 per fractional work
- Top-10% rate
- 8.3% record average 16.5%
- Open access
- 47% world 28%
What is Gulbarga University 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 | #5,848 of 12,888 | 9.2% | 301 | #6304 | |
| Health SciencesDomain | #10,153 of 11,982 | 9.8% | 74 | #16399 | |
| EngineeringField | #5,666 of 6,636 | 6.5% | 109 | #4158 | |
| Life SciencesDomain | #7,270 of 7,800 | 5.5% | 64 | #10640 | |
| Computer ScienceField | #4,467 of 4,667 | 7.6% | 66 | #5490 |
Each strip is that field’s whole ranked pool, with the notch where Gulbarga University 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#6,304 #5,848
- Health Sciences#16,399 #10,153
- Engineering#4,158 #5,666
- Life Sciences#10,640 #7,270
- Computer Science#5,490 #4,467
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Gulbarga University specialise in?
Where its research is concentrated relative to its size: Computational Theory and Mathematics takes 10.3× the share of its output that it takes of world research.
- Computational Theory and MathematicsSubfield · 20.7 works10×
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: Mathematics, 4.0×. Every wedge is a field page.
- Mathematics 4.0×
- Chemistry 3.5×
- Materials Science 2.7×
- Chemical Engineering 2.6×
- Pharmacology, Toxicology and Pharmaceutics 2.1×
- Computer Science 1.8×
- Agricultural and Biological Sciences 1.6×
- Engineering 1.6×
- Dentistry 1.3×
- Nursing 1.1×
- Health Professions 1.0×
- Neuroscience 1.0×
- Environmental Science 0.8×
- Physics and Astronomy 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Medicine 0.6×
- Energy 0.6×
- Immunology and Microbiology 0.5×
- Veterinary 0.5×
- Business, Management and Accounting 0.5×
- Decision Sciences 0.3×
- Social Sciences 0.2×
- Economics, Econometrics and Finance 0.2×
- Arts and Humanities 0.2×
- Psychology 0.2×
- Earth and Planetary Sciences 0.1×
Who are the top researchers at Gulbarga University?
Ranked on the composite score, A. Venkataraman, Mallikarjun Hangarge and Akshay Kulkarni lead among researchers whose main affiliation is Gulbarga University.
- 1 A. Venkataraman India · #263,357 worldwide 162 citations · 22 works
- 2 Mallikarjun Hangarge India · #278,019 worldwide 106 citations · 23 works
- 3 Akshay Kulkarni India · #314,361 worldwide 67 citations · 22 works
- 4 C. Sulochana India · #510,267 worldwide 112 citations · 15 works
- 5 M. S. Malashetty India · #683,140 worldwide 118 citations · 18 works
- 6 Ramesh Londonkar India · #723,254 worldwide 30 citations · 15 works
- 7 Singi Yatiraj India · #734,250 worldwide 0 citations · 39 works
- 8 B.V. Dhandra India · #762,286 worldwide 70 citations · 16 works
- 9 J. C. Umavathi India · #769,018 worldwide 169 citations · 49 works
- 10 N. B. Naduvinamani India · #854,912 worldwide 86 citations · 31 works
Which keywords describe research at Gulbarga University?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Heat Transfer, Experimental Investigation, Machine Learning, Thermal Conductivity, Applications, Molecular Structure, Deep Learning and Graph Spectra.
- Transfer Learning
- Metric Dimension
- Fluid Flow
- Optical Properties
- Virtual Screening
- Medical Imaging
- Vortex Dynamics
- Molecular Docking
- Turbulent Flows
- Medicinal Plants
- Friction Factor
- Nanocomposites
- Convolutional Neural Networks
- Environmental Impact
- Nanofluids
- Review
- Graph Spectra
- Applications
- Experimental Investigation
- Machine Learning
- Heat Transfer
- Deep Learning
- Thermal Conductivity
- Molecular Structure
- Topological Indices
- Convective Transport
- Antioxidant
- Toxicity
- Medicinal Chemistry
- Numerical Modeling
- Solar Air Heater
- Feature Extraction
- Large-Eddy Simulation
- Particle Image Velocimetry
- Pharmacokinetics
- Drug Target Identification
- Wireless Sensor Networks
- Pressure Drop
- Graph Labeling
- Structural Analysis
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
- Heat Transfer47▲ 20×10 topics
- Machine Learning41▲ 2.7×42 topics
- Deep Learning36▲ 2.2×43 topics
- Experimental Investigation28▲ 57×2 topics
- Thermal Conductivity22▲ 31×4 topics
- Applications20▲ 15×4 topics
- Molecular Structure20▲ 42×2 topics
- Graph Spectra18▲ 241×1 topic
- Topological Indices18▲ 241×1 topic
- Review18▲ 32×3 topics
- Convective Transport18▲ 83×1 topic
- Nanofluids18▲ 46×1 topic
- Antioxidant14▲ 4.4×17 topics
- Environmental Impact14▲ 1.74×20 topics
- Toxicity13▲ 6.3×11 topics
- Convolutional Neural Networks12▲ 3.4×10 topics
- Medicinal Chemistry11▲ 8.6×5 topics
- Nanocomposites11▲ 2.9×13 topics
- Numerical Modeling10▲ 21×2 topics
- Friction Factor10▲ 51×1 topic
- Solar Air Heater10▲ 51×1 topic
- Medicinal Plants10▲ 5.3×13 topics
- Feature Extraction10▲ 4.6×7 topics
- Turbulent Flows10▲ 20×2 topics
- Large-Eddy Simulation9▲ 10×2 topics
- Molecular Docking9▲ 16×3 topics
- Particle Image Velocimetry9▲ 28×1 topic
- Vortex Dynamics9▲ 17×1 topic
- Pharmacokinetics9▲ 7.3×4 topics
- Medical Imaging9▲ 3.6×7 topics
- Drug Target Identification8▲ 19×1 topic
- Virtual Screening8▲ 19×1 topic
- Wireless Sensor Networks8▲ 4.0×12 topics
- Optical Properties8▲ 27×3 topics
- Pressure Drop7▲ 20×3 topics
- Fluid Flow7▲ 25×2 topics
- Graph Labeling7▲ 110×1 topic
- Metric Dimension7▲ 110×1 topic
- Structural Analysis7▲ 16×4 topics
- Transfer Learning7▲ 7.5×2 topics
Which research topics does Gulbarga University publish most on?
By volume in 2022–2025: Graph theory and applications, Nanofluid Flow and Heat Transfer, Heat Transfer Mechanisms and Fluid Dynamics and Turbulent Flows.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Graph theory and applications Geometry and Topology 18 works
- 2 Nanofluid Flow and Heat Transfer Biomedical Engineering 18 works
- 3 Heat Transfer Mechanisms Mechanical Engineering 10 works
- 4 Fluid Dynamics and Turbulent Flows Computational Mechanics 9 works
- 5 Computational Drug Discovery Methods Computational Theory and Mathematics 8 works
- 6 Graph Labeling and Dimension Problems Computational Theory and Mathematics 7 works
- 7 Glass properties and applications Ceramics and Composites 6 works
- 8 Free Radicals and Antioxidants Organic Chemistry 5 works
- 9 Brain Tumor Detection and Classification Neurology 5 works
- 10 Conducting polymers and applications Polymers and Plastics 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: 28% of research is openly available.
World: 19% is written across borders.
How has Gulbarga University's research output changed?
Output in 2018–2022 was 23% lower 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 Gulbarga
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.