Virginia Tech
In research, Virginia Tech stands highest in Physical Sciences (#125 of 10,670 worldwide), Engineering (#127 of 5,901 worldwide) and Electrical and Electronic Engineering (#66 of 2,176 worldwide), 2022-now. Relative to its size it is most specialised in Architecture, Software and Hardware and Architecture (Architecture is 6.1× its share of world research).
- World rank, 2022-now
- #252 of 22,385 · #203 all time
- Rank in United States
- #72 of 3,332
- Research works
- 93k ▼ 4% vs 2018-21
- Citations
- 2.5M 27.1 per fractional work
- Top-10% rate
- 11.4% all institutions 10.0%
- vs its own fields
- 1.02× 1.00× is exactly expected
- Open access
- 28% world 40%
- International
- 12% world 18%
What is Virginia Tech known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #125 of 10,670 | 11.3% | 6,428 | #132 | |
| EngineeringField | #127 of 5,901 | 12.0% | 2,958 | #91 | |
| Electrical and Electronic EngineeringSubfield | #66 of 2,176 | 17.9% | 711 | #70 | |
| Social SciencesDomain | #339 of 9,585 | 12.7% | 2,396 | #174 | |
| Agricultural and Biological SciencesField | #140 of 3,157 | 10.1% | 662 | #121 | |
| Health SciencesDomain | #440 of 9,902 | 11.1% | 1,231 | #427 | |
| Computer ScienceField | #219 of 4,417 | 11.4% | 1,332 | #156 | |
| MedicineField | #467 of 8,541 | 10.9% | 961 | #459 | |
| Social SciencesField | #332 of 5,988 | 13.2% | 1,125 | #217 | |
| Life SciencesDomain | #370 of 6,403 | 9.8% | 1,571 | #307 |
Each strip is that field's whole ranked pool, with the notch where Virginia Tech 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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Physical Sciences#132 #125
- Engineering#91 #127
- Electrical and Electronic Engineering#70 #66
- Social Sciences#174 #339
- Agricultural and Biological Sciences#121 #140
- Health Sciences#427 #440
- Computer Science#156 #219
- Medicine#459 #467
- Social Sciences#217 #332
- Life Sciences#307 #370
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does Virginia Tech work in?
In 2022-now, 55% of research at Virginia Tech is in Physical Sciences, 20% in Social Sciences. Its largest fields are Engineering (25%), Computer Science (12%), Social Sciences (10%). It does 1.4× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 26 fields, with their numbers
- Physical Sciences7,10055.1%
- Engineering3,21725.0%
- Computer Science1,49311.6%
- Environmental Science8946.9%
- Materials Science4063.2%
- Physics and Astronomy3933.1%
- Earth and Planetary Sciences2662.1%
- Mathematics1761.4%
- Chemistry1501.2%
- Energy620.5%
- Chemical Engineering420.3%
- Social Sciences2,63320.4%
- Social Sciences1,2319.6%
- Psychology5164.0%
- Business, Management and Accounting2752.1%
- Decision Sciences2291.8%
- Arts and Humanities2181.7%
- Economics, Econometrics and Finance1631.3%
- Life Sciences1,77613.8%
- Health Sciences1,37610.7%
- Medicine1,0808.4%
- Health Professions2061.6%
- Veterinary530.4%
- Nursing320.3%
- Dentistry50.0%
What does Virginia Tech specialise in?
Where its research is concentrated relative to its size: Architecture takes 6.1× the share of its output that it takes of world research.
- ArchitectureSubfield · 30.6 works6.1×
- SoftwareSubfield · 30.8 works3.7×
- Hardware and ArchitectureSubfield · 47.3 works3.3×
- VeterinaryField · 52.9 works3.0×
- Human-Computer InteractionSubfield · 80.0 works3.0×
- Media TechnologySubfield · 118.7 works2.9×
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: Veterinary, 3.0×. Every wedge is a field page.
All 26 fields, with their numbers
- Veterinary3.02×53 works
- Decision Sciences1.84×229 works
- Engineering1.66×3,217 works
- Computer Science1.49×1,493 works
- Environmental Science1.40×894 works
- Physics and Astronomy1.37×393 works
- Earth and Planetary Sciences1.32×266 works
- Psychology1.31×516 works
- Agricultural and Biological Sciences1.22×744 works
- Mathematics1.16×176 works
- Neuroscience1.06×221 works
- Biochemistry, Genetics and Molecular Biology1.01×697 works
- Chemical Engineering0.93×42 works
- Materials Science0.90×406 works
- Immunology and Microbiology0.78×101 works
- Social Sciences0.76×1,232 works
- Chemistry0.74×150 works
- Business, Management and Accounting0.66×275 works
- Health Professions0.61×206 works
- Arts and Humanities0.59×218 works
- Economics, Econometrics and Finance0.59×163 works
- Energy0.53×62 works
- Nursing0.51×32 works
- Medicine0.44×1,080 works
- Pharmacology, Toxicology and Pharmaceutics0.29×13 works
- Dentistry0.08×5 works
- Veterinary 3.0×
- Decision Sciences 1.8×
- Engineering 1.7×
- Computer Science 1.5×
- Environmental Science 1.4×
- Physics and Astronomy 1.4×
- Earth and Planetary Sciences 1.3×
- Psychology 1.3×
- Agricultural and Biological Sciences 1.2×
- Mathematics 1.2×
- Neuroscience 1.1×
- Biochemistry, Genetics and Molecular Biology 1.0×
- Chemical Engineering 0.9×
- Materials Science 0.9×
- Immunology and Microbiology 0.8×
- Social Sciences 0.8×
- Chemistry 0.7×
- Business, Management and Accounting 0.7×
- Health Professions 0.6×
- Arts and Humanities 0.6×
- Economics, Econometrics and Finance 0.6×
- Energy 0.5×
- Nursing 0.5×
- Medicine 0.4×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Dentistry 0.1×
Who are the top researchers at Virginia Tech?
Ranked on the quality score, Viswanath Venkatesh, Linsey C. Marr and F.C. Lee lead among researchers whose main affiliation is Virginia Tech.
- 1
Viswanath Venkatesh
United States · #1,192 worldwide 86k citations · 284 works
- 2
Linsey C. Marr
United States · #11,454 worldwide 21k citations · 282 works
- 3
F.C. Lee
United States · #17,882 worldwide 29k citations · 408 works
- 4
Paul Benjamin Lowry
United States · #21,122 worldwide 17k citations · 455 works
- 5
Frank O. Aylward
United States · #24,772 worldwide 5.4k citations · 222 works
- 6
Arun G. PHADKE
United States · #29,907 worldwide 15k citations · 193 works
- 7
Weiguo Fan
United States · #30,044 worldwide 15k citations · 360 works
- 8
Nancy Gard McGehee
United States · #34,719 worldwide 7.1k citations · 101 works
- 9
M. Joseph Sirgy
United States · #36,606 worldwide 32k citations · 527 works
- 10
Shuhai Xiao
United States · #42,540 worldwide 22k citations · 491 works
Which keywords describe research at Virginia Tech?
By fractional works in 2022-now, weighted toward what it does more of than the world: Machine Learning, Climate Change, Deep Learning, Power Electronics, Engineering Education, Neural Networks, Sustainability and Renewable Energy Integration.
- Cognitive Load
- High-Frequency Power Conversion
- Career Development
- Accreditation
- Wide Bandgap Semiconductors
- Silicon Carbide
- High-Temperature Electronics
- Electric Vehicle Charging
- Driver Behavior
- Additive Manufacturing
- Invasive Species
- Thermal Management
- Engineering Education
- Big Data
- Remote Sensing
- Education
- Environmental Impact
- Neural Networks
- Epidemiology
- Deep Learning
- Machine Learning
- Climate Change
- Sustainability
- Globalization
- Power Electronics
- Mechanical Properties
- Energy Efficiency
- Renewable Energy Integration
- Heat Transfer
- Autonomous Vehicles
- Large-Eddy Simulation
- Lifelong Learning
- Assessment Methods
- Power Devices
- Reliability
- IGBT Modules
- Professional Skills
- Outcome-Based Education
- DC-DC Converters
- Mental Workload
Size is fractional works in 2022-now 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 Learning607▲ 1.41×85 topics
- Deep Learning555▲ 1.25×78 topics
- Climate Change532▲ 1.52×99 topics
- Epidemiology336▼ 0.65×130 topics
- Sustainability321◆ 1.02×90 topics
- Neural Networks283▲ 1.42×38 topics
- Globalization222◆ 0.88×96 topics
- Environmental Impact206◆ 0.94×61 topics
- Power Electronics206▲ 5.0×8 topics
- Education191▼ 0.86×65 topics
- Mechanical Properties184▲ 1.45×36 topics
- Remote Sensing164◆ 1.04×33 topics
- Energy Efficiency154▲ 1.29×31 topics
- Big Data149▲ 1.21×24 topics
- Renewable Energy Integration146▲ 3.4×6 topics
- Engineering Education127▲ 12×7 topics
- Heat Transfer121▲ 1.92×18 topics
- Thermal Management113▲ 2.7×8 topics
- Autonomous Vehicles112▲ 4.2×4 topics
- Invasive Species110▲ 2.0×21 topics
- Large-Eddy Simulation108▲ 4.5×5 topics
- Additive Manufacturing96▲ 2.4×8 topics
- Lifelong Learning95▲ 3.6×7 topics
- Driver Behavior89▲ 8.7×2 topics
- Assessment Methods88▲ 6.4×3 topics
- Electric Vehicle Charging86▲ 8.1×2 topics
- Power Devices83▲ 9.6×2 topics
- High-Temperature Electronics78▲ 10×2 topics
- Reliability77▲ 7.9×3 topics
- Silicon Carbide75▲ 12×2 topics
- IGBT Modules75▲ 14×1 topic
- Wide Bandgap Semiconductors75▲ 14×1 topic
- Professional Skills72▲ 17×2 topics
- Accreditation70▲ 22×1 topic
- Outcome-Based Education70▲ 22×1 topic
- Career Development70▲ 4.6×5 topics
- DC-DC Converters70▲ 9.9×1 topic
- High-Frequency Power Conversion70▲ 9.9×1 topic
- Mental Workload56▲ 8.1×2 topics
- Cognitive Load54▲ 8.7×2 topics
Which research topics does Virginia Tech publish most on?
By volume in 2022-now: Silicon Carbide Semiconductor Technologies, Engineering Education and Curriculum Development, Advanced DC-DC Converters and Human-Automation Interaction and Safety.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Silicon Carbide Semiconductor Technologies Electrical and Electronic Engineering 75 works
- 2 Engineering Education and Curriculum Development Media Technology 70 works
- 3 Advanced DC-DC Converters Electrical and Electronic Engineering 70 works
- 4 Human-Automation Interaction and Safety Social Psychology 49 works
- 5 Traffic and Road Safety Safety, Risk, Reliability and Quality 40 works
- 6 Multilevel Inverters and Converters Electrical and Electronic Engineering 39 works
- 7 Topic Modeling Artificial Intelligence 38 works
- 8 Career Development and Diversity Safety Research 37 works
- 9 Additive Manufacturing and 3D Printing Technologies Automotive Engineering 37 works
- 10 Fluid Dynamics and Turbulent Flows Computational Mechanics 36 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: 40% of research is openly available.
World: 18% is written across borders.
How has Virginia Tech's research output changed?
Output in 2022-2025 was 4% lower than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Virginia Tech as a percentage of every work published that year, 0.055% in 2024.
Fractional works of Virginia Tech over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 15.0% in 2013.
Other research institutions in Blacksburg
- Virginia Cooperative Extension
- Edward Via College of Osteopathic Medicine
- Lambda Instruments (United States)
- Electrical Distribution Design (United States)
- TechLab (United States)
- Graf Research (United States)
- Molecular Sciences Software Institute
- Torc Robotics (United States)
Which institutions have research most like Virginia Tech's?
Among the world's leading institutions, University of Illinois Urbana-Champaign has the research profile closest to Virginia Tech's, with both strong in Veterinary.
- 1
University of Illinois Urbana-Champaign
United States · Both strong in Veterinary, Decision Sciences, Computer Science 0.93 Compare
- 2
University of Tennessee at Knoxville
United States · Both strong in Veterinary, Physics and Astronomy, Earth and Planetary Sciences 0.86 Compare
- 3
North Carolina State University
United States · Both strong in Veterinary, Decision Sciences, Environmental Science 0.86 Compare
- 4
Iowa State University
United States · Both strong in Veterinary, Physics and Astronomy, Engineering 0.85 Compare
- 5
Purdue University West Lafayette
United States · Both strong in Veterinary, Decision Sciences, Engineering 0.84 Compare
Similarity is the correlation of each side's location quotients across every field it publishes in, on a log scale: 1 is the same shape of research, 0 is unrelated. It ignores size. How it is measured.
Compare Virginia Tech with
- vs
ShanghaiTech University
- vs
University of Illinois Chicago
- vs
National Research Council
- vs
Dartmouth College
- vs
Chinese Academy of Agricultural Sciences
- vs
Technion – Israel Institute of Technology
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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