University of South Dakota
In research, University of South Dakota stands highest in Health Sciences (#2,076 of 11,982 worldwide), Medicine (#2,084 of 10,443 worldwide) and Life Sciences (#3,233 of 7,800 worldwide), 2022–2025. Relative to its size it is most specialised in Psychiatry and Mental health — Psychiatry and Mental health is 3.5× its share of world research.
- World rank, 2022–2025
- #4,414 of 28,054 · #3,188 all time
- Rank in United States
- #622 of 4,192
- Research works
- 7.7k ▲ 22% vs 2013–17
- Citations
- 146k 18.9 per fractional work
- Top-10% rate
- 11.9% record average 16.5%
- Open access
- 30% world 28%
What is University of South Dakota 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 |
|---|---|---|---|---|---|
| Health SciencesDomain | #2,076 of 11,982 | 9.0% | 621 | #2305 | |
| MedicineField | #2,084 of 10,443 | 8.7% | 532 | #2227 | |
| Life SciencesDomain | #3,233 of 7,800 | 15.6% | 169 | #2243 | |
| Social SciencesDomain | #4,499 of 10,521 | 12.5% | 276 | #1632 | |
| Social SciencesField | #3,286 of 6,365 | 11.1% | 142 | #1257 | |
| Health ProfessionsField | #1,010 of 1,928 | 11.7% | 74 | #2289 | |
| Physical SciencesDomain | #7,569 of 12,888 | 16.6% | 215 | #4176 | |
| Biochemistry, Genetics and Molecular BiologyField | #2,450 of 3,579 | 15.7% | 85 | #1864 | |
| PsychologyField | #1,850 of 2,181 | 16.5% | 70 | #1510 | |
| SurgerySubfield | #1,601 of 1,816 | 6.1% | 62 | #2178 |
Each strip is that field’s whole ranked pool, with the notch where University of South Dakota 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.
- Health Sciences#2,305 #2,076
- Medicine#2,227 #2,084
- Life Sciences#2,243 #3,233
- Social Sciences#1,632 #4,499
- Social Sciences#1,257 #3,286
- Health Professions#2,289 #1,010
- Physical Sciences#4,176 #7,569
- Biochemistry, Genetics and Molecular Biology#1,864 #2,450
- Psychology#1,510 #1,850
- Surgery#2,178 #1,601
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does University of South Dakota specialise in?
Where its research is concentrated relative to its size: Psychiatry and Mental health takes 3.5× the share of its output that it takes of world research.
- Psychiatry and Mental healthSubfield · 22.7 works3.5×
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: Health Professions, 2.2×. Every wedge is a field page.
- Health Professions 2.2×
- Neuroscience 2.2×
- Medicine 2.2×
- Psychology 1.8×
- Veterinary 1.7×
- Pharmacology, Toxicology and Pharmaceutics 1.6×
- Nursing 1.3×
- Biochemistry, Genetics and Molecular Biology 1.2×
- Immunology and Microbiology 1.0×
- Decision Sciences 0.9×
- Physics and Astronomy 0.9×
- Social Sciences 0.9×
- Chemistry 0.8×
- Mathematics 0.7×
- Environmental Science 0.7×
- Economics, Econometrics and Finance 0.6×
- Dentistry 0.6×
- Computer Science 0.6×
- Arts and Humanities 0.5×
- Business, Management and Accounting 0.5×
- Materials Science 0.4×
- Agricultural and Biological Sciences 0.3×
- Earth and Planetary Sciences 0.3×
- Chemical Engineering 0.2×
- Energy 0.2×
- Engineering 0.2×
Who are the top researchers at University of South Dakota?
Ranked on the composite score, William S. Harris, Xuejun Wang and Jeffrey S. Simons lead among researchers whose main affiliation is University of South Dakota.
- 1 William S. Harris United States · #20,982 worldwide 954 citations · 90 works
- 2 Xuejun Wang United States · #95,073 worldwide 512 citations · 86 works
- 3 Jeffrey S. Simons United States · #143,350 worldwide 243 citations · 27 works
- 4 David L. Swanson United States · #146,669 worldwide 177 citations · 32 works
- 5 Hongmin Wang United States · #184,503 worldwide 225 citations · 21 works
- 6 William D. Anderson United States · #200,750 worldwide 122 citations · 26 works
- 7 Edward T. Zawada United States · #268,351 worldwide 37 citations · 26 works
- 8 John B. Gregg United States · #275,006 worldwide 81 citations · 20 works
- 9 Mark K Huntington United States · #374,913 worldwide 53 citations · 25 works
- 10 Paul F. Smith United States · #376,430 worldwide 153 citations · 37 works
Which keywords describe research at University of South Dakota?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Epidemiology, Machine Learning, Medical Imaging, Deep Learning, Mental Health, Public Health, Medical Education and Quality of Life.
- Chest X-Ray
- Professional Identity Formation
- CT Scan
- Patient Care
- Faculty Development
- Assessment Methods
- Transfer Learning
- Echocardiography
- Genetic Mutations
- Resilience
- Convolutional Neural Networks
- Primary Care
- Depression
- Cardiovascular Disease
- Medical Imaging
- Oxidative Stress
- Risk Factors
- Public Health
- Mental Health
- Machine Learning
- Epidemiology
- Deep Learning
- Inflammation
- Quality of Life
- Treatment
- Healthcare
- Diagnosis
- Artificial Intelligence
- Metabolic Syndrome
- Medical Education
- Precision Medicine
- Well-being
- Health Equity
- Reflective Practice
- Psychiatric Disorders
- Academic Medicine
- Evidence-Based Practice
- Competency-Based Education
- Continuing Medical Education
- Particle Physics
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
- Epidemiology108▲ 2.1×112 topics
- Machine Learning61▲ 1.45×58 topics
- Deep Learning55▲ 1.26×53 topics
- Mental Health38▲ 2.0×29 topics
- Inflammation37▲ 1.37×67 topics
- Public Health37▲ 1.96×40 topics
- Quality of Life36▲ 1.93×47 topics
- Risk Factors32▲ 2.3×32 topics
- Treatment31▲ 2.0×43 topics
- Oxidative Stress31▲ 1.47×40 topics
- Healthcare29▲ 2.0×16 topics
- Medical Imaging28▲ 4.3×8 topics
- Diagnosis26▲ 2.1×35 topics
- Cardiovascular Disease24▲ 1.70×30 topics
- Artificial Intelligence23▲ 1.31×14 topics
- Depression21▲ 1.90×21 topics
- Metabolic Syndrome21▲ 2.0×21 topics
- Primary Care20▲ 4.1×12 topics
- Medical Education20▲ 6.0×12 topics
- Convolutional Neural Networks19▲ 2.0×10 topics
- Precision Medicine19▲ 3.2×7 topics
- Resilience18▲ 2.9×13 topics
- Well-being17▲ 3.5×11 topics
- Genetic Mutations15▲ 2.7×20 topics
- Health Equity14▲ 4.0×5 topics
- Echocardiography14▲ 3.9×7 topics
- Reflective Practice13▲ 5.5×6 topics
- Transfer Learning12▲ 5.0×3 topics
- Psychiatric Disorders11▲ 6.4×4 topics
- Assessment Methods11▲ 7.7×3 topics
- Academic Medicine10▲ 10×3 topics
- Faculty Development10▲ 10×2 topics
- Evidence-Based Practice10▲ 6.2×6 topics
- Patient Care10▲ 6.5×2 topics
- Competency-Based Education10▲ 8.4×2 topics
- CT Scan10▲ 7.3×2 topics
- Continuing Medical Education9▲ 12×1 topic
- Professional Identity Formation9▲ 12×1 topic
- Particle Physics9▲ 9.3×2 topics
- Chest X-Ray9▲ 9.2×1 topic
Which research topics does University of South Dakota publish most on?
By volume in 2022–2025: Innovations in Medical Education, COVID-19 diagnosis using AI, Artificial Intelligence in Healthcare and Education and Radiomics and Machine Learning in Medical Imaging.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Innovations in Medical Education Public Health, Environmental and Occupational Health 9 works
- 2 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 9 works
- 3 Artificial Intelligence in Healthcare and Education Health Informatics 7 works
- 4 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 7 works
- 5 Occupational Therapy Practice and Research Occupational Therapy 7 works
- 6 Diversity and Career in Medicine Gender Studies 6 works
- 7 American Constitutional Law and Politics Political Science and International Relations 6 works
- 8 Empathy and Medical Education Psychiatry and Mental health 6 works
- 9 Child Abuse and Trauma Clinical Psychology 6 works
- 10 AI in cancer detection Artificial Intelligence 6 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 South Dakota's research output changed?
Output in 2018–2022 was 22% 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.
Other research institutions in Vermillion
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.