University of Mines and Technology
In research, University of Mines and Technology stands highest in Physical Sciences (#5,416 of 12,888 worldwide), Engineering (#4,343 of 6,636 worldwide) and Social Sciences (#9,332 of 10,521 worldwide), 2022–2025.
- World rank, 2022–2025
- #9,064 of 28,054 · #19,451 all time
- Rank in Ghana
- #15 of 50
- Research works
- 1.1k ▲ 135% vs 2013–17
- Citations
- 8.1k 7.6 per fractional work
- Top-10% rate
- 12.1% record average 16.5%
- Open access
- 64% world 28%
What is University of Mines and Technology 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 | #5,416 of 12,888 | 11.6% | 291 | #12773 | |
| EngineeringField | #4,343 of 6,636 | 9.4% | 156 | #8201 | |
| Social SciencesDomain | #9,332 of 10,521 | 14.2% | 72 | #14115 |
Each strip is that field’s whole ranked pool, with the notch where University of Mines and Technology 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#12,773 #5,416
- Engineering#8,201 #4,343
- Social Sciences#14,115 #9,332
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
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: Earth and Planetary Sciences, 3.2×. Every wedge is a field page.
- Earth and Planetary Sciences 3.2×
- Decision Sciences 3.1×
- Environmental Science 2.8×
- Engineering 2.6×
- Mathematics 2.4×
- Energy 1.9×
- Economics, Econometrics and Finance 1.9×
- Business, Management and Accounting 1.2×
- Computer Science 1.0×
- Health Professions 0.9×
- Chemistry 0.5×
- Materials Science 0.5×
- Social Sciences 0.4×
- Agricultural and Biological Sciences 0.4×
- Psychology 0.3×
- Arts and Humanities 0.3×
- Nursing 0.3×
- Physics and Astronomy 0.2×
- Medicine 0.2×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Immunology and Microbiology 0.1×
- Neuroscience 0.1×
- Chemical Engineering 0.1×
- Dentistry 0.0×
Who are the top researchers at University of Mines and Technology?
Ranked on the composite score, R.K. Amankwah, Yao Yevenyo Ziggah and Anthony Simons lead among researchers whose main affiliation is University of Mines and Technology.
- 1 R.K. Amankwah Ghana · #443,314 worldwide 80 citations · 16 works
- 2 Yao Yevenyo Ziggah Ghana · #829,738 worldwide 57 citations · 28 works
- 3 Anthony Simons Ghana · #915,962 worldwide 49 citations · 24 works
- 4 Karina Liechti Ghana · #937,454 worldwide 7 citations · 16 works
- 5 Eric Stemn Ghana · #949,817 worldwide 41 citations · 16 works
- 6 Raymond S. Suglo Ghana · #1,238,344 worldwide 6 citations · 19 works
- 7 Joseph Cudjoe Attachie Ghana · #1,547,997 worldwide 9 citations · 16 works
Which keywords describe research at University of Mines and Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Remote Sensing, Optimization, Energy Efficiency, Environmental Impact, Support Vector Machines, Renewable Energy and Metal Recovery.
- Terrestrial Laser Scanning
- Gas Permeability
- Mining Industry
- Rare Earth Elements
- Shale Gas
- Forecasting
- IoT
- Rock Mechanics
- Compositional Data Analysis
- Rheological Properties
- Open Pit Mining
- Waste Management
- Uncertainty
- Comminution
- Environmental Impacts
- Neural Networks
- Sustainability
- Energy Efficiency
- Renewable Energy
- Remote Sensing
- Machine Learning
- Environmental Impact
- Deep Learning
- Optimization
- Support Vector Machines
- Metal Recovery
- Sustainable Development
- Mineral Liberation Analysis
- Stochastic Optimization
- Hyperspectral Imaging
- Production Scheduling
- CO2 Sequestration
- Mineral Prospectivity
- Recycling
- Corporate Social Responsibility
- Groundwater
- Pore Structure
- Remediation
- Social License to Operate
- Mudstones
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
- Machine Learning40▲ 3.1×46 topics
- Remote Sensing24▲ 4.9×20 topics
- Environmental Impact22▲ 3.3×21 topics
- Renewable Energy20▲ 3.5×23 topics
- Deep Learning19▲ 1.42×35 topics
- Energy Efficiency19▲ 5.1×15 topics
- Optimization17▲ 9.3×14 topics
- Sustainability16▲ 1.61×22 topics
- Support Vector Machines14▲ 11×7 topics
- Neural Networks12▲ 1.89×13 topics
- Metal Recovery11▲ 14×3 topics
- Environmental Impacts11▲ 10×5 topics
- Sustainable Development11▲ 1.71×13 topics
- Comminution10▲ 73×1 topic
- Mineral Liberation Analysis10▲ 73×1 topic
- Uncertainty9▲ 49×2 topics
- Stochastic Optimization9▲ 46×2 topics
- Waste Management9▲ 5.4×4 topics
- Hyperspectral Imaging8▲ 7.5×4 topics
- Open Pit Mining8▲ 149×1 topic
- Production Scheduling8▲ 149×1 topic
- Rheological Properties8▲ 12×4 topics
- CO2 Sequestration7▲ 9.6×4 topics
- Compositional Data Analysis7▲ 27×1 topic
- Mineral Prospectivity7▲ 27×1 topic
- Rock Mechanics7▲ 18×3 topics
- Recycling7▲ 4.6×7 topics
- IoT7▲ 4.5×8 topics
- Corporate Social Responsibility6▲ 9.8×2 topics
- Forecasting6▲ 7.8×5 topics
- Groundwater6▲ 18×3 topics
- Shale Gas6▲ 11×2 topics
- Pore Structure6▲ 11×3 topics
- Rare Earth Elements5▲ 9.5×2 topics
- Remediation5▲ 18×2 topics
- Mining Industry5▲ 67×1 topic
- Social License to Operate5▲ 67×1 topic
- Gas Permeability5▲ 13×1 topic
- Mudstones5▲ 16×1 topic
- Terrestrial Laser Scanning5▲ 10×2 topics
Which research topics does University of Mines and Technology publish most on?
By volume in 2022–2025: Mineral Processing and Grinding, Mining Techniques and Economics, Geochemistry and Geologic Mapping and Mining and Resource Management.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Mineral Processing and Grinding Mechanical Engineering 10 works
- 2 Mining Techniques and Economics Control and Systems Engineering 8 works
- 3 Geochemistry and Geologic Mapping Artificial Intelligence 7 works
- 4 Mining and Resource Management Building and Construction 5 works
- 5 Hydrocarbon exploration and reservoir analysis Mechanics of Materials 5 works
- 6 Drilling and Well Engineering Ocean Engineering 5 works
- 7 Occupational Health and Safety Research Radiological and Ultrasound Technology 4 works
- 8 Metal Extraction and Bioleaching Biomedical Engineering 4 works
- 9 Rock Mechanics and Modeling Mechanics of Materials 4 works
- 10 Reservoir Engineering and Simulation Methods Ocean 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 University of Mines and Technology's research output changed?
Output in 2018–2022 was 135% 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.