Freed–Hardeman University
In research, Freed–Hardeman University stands highest in Physical Sciences (#1,825 of 10,670 worldwide), Engineering (#1,755 of 5,901 worldwide) and Life Sciences (#2,319 of 6,403 worldwide), 2022-now. Relative to its size it is most specialised in Artificial Intelligence (Artificial Intelligence is 4.0× its share of world research).
- World rank, 2022-now
- #3,809 of 22,385 · #9,216 all time
- Rank in United States
- #554 of 3,332
- Research works
- 579 ▲ 3958% vs 2018-21
- Citations
- 721 1.2 per fractional work
- Top-10% rate
- 9.5% all institutions 10.0%
- vs its own fields
- 0.99× 1.00× is exactly expected
- Open access
- 91% world 40%
- International
- 2% world 18%
What is Freed–Hardeman University 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 | #1,825 of 10,670 | 9.4% | 341 | #4978 | |
| EngineeringField | #1,755 of 5,901 | 9.5% | 149 | #4573 | |
| Life SciencesDomain | #2,319 of 6,403 | 8.3% | 93 | - | |
| Computer ScienceField | #1,831 of 4,417 | 9.4% | 100 | - | |
| Biochemistry, Genetics and Molecular BiologyField | #1,403 of 2,964 | 8.2% | 71 | - |
Each strip is that field's whole ranked pool, with the notch where Freed–Hardeman 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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Freed–Hardeman University work in?
In 2022-now, 66% of research at Freed–Hardeman University is in Physical Sciences, 18% in Life Sciences. Its largest fields are Engineering (29%), Computer Science (19%), Biochemistry, Genetics and Molecular Biology (14%). It does 1.7× 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 25 fields, with their numbers
- Physical Sciences34266.0%
- Engineering14828.7%
- Computer Science10119.5%
- Materials Science305.7%
- Physics and Astronomy285.4%
- Environmental Science122.4%
- Earth and Planetary Sciences71.4%
- Chemistry61.2%
- Mathematics50.9%
- Energy40.7%
- Chemical Engineering10.2%
- Life Sciences9418.2%
- Social Sciences438.3%
- Psychology122.2%
- Decision Sciences112.1%
- Social Sciences101.9%
- Business, Management and Accounting61.2%
- Arts and Humanities30.5%
- Economics, Econometrics and Finance10.3%
- Health Sciences397.6%
- Medicine367.0%
- Health Professions30.5%
- Veterinary00.0%
- Dentistry00.0%
What does Freed–Hardeman University specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 4.0× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 50.0 works4.0×
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: Biochemistry, Genetics and Molecular Biology, 2.6×. Every wedge is a field page.
All 25 fields, with their numbers
- Biochemistry, Genetics and Molecular Biology2.57×71 works
- Computer Science2.50×101 works
- Physics and Astronomy2.42×28 works
- Decision Sciences2.13×11 works
- Engineering1.91×148 works
- Materials Science1.64×30 works
- Pharmacology, Toxicology and Pharmaceutics1.40×3 works
- Neuroscience1.32×11 works
- Earth and Planetary Sciences0.90×7 works
- Chemistry0.79×6 works
- Energy0.77×4 works
- Mathematics0.77×5 works
- Psychology0.73×12 works
- Environmental Science0.47×12 works
- Chemical Engineering0.43×1 works
- Business, Management and Accounting0.38×6 works
- Medicine0.37×36 works
- Agricultural and Biological Sciences0.33×8 works
- Veterinary0.28×0 works
- Immunology and Microbiology0.24×1 works
- Health Professions0.19×3 works
- Arts and Humanities0.19×3 works
- Social Sciences0.15×10 works
- Economics, Econometrics and Finance0.13×1 works
- Dentistry0.03×0 works
- Biochemistry, Genetics and Molecular Biology 2.6×
- Computer Science 2.5×
- Physics and Astronomy 2.4×
- Decision Sciences 2.1×
- Engineering 1.9×
- Materials Science 1.6×
- Pharmacology, Toxicology and Pharmaceutics 1.4×
- Neuroscience 1.3×
- Earth and Planetary Sciences 0.9×
- Chemistry 0.8×
- Energy 0.8×
- Mathematics 0.8×
- Psychology 0.7×
- Environmental Science 0.5×
- Chemical Engineering 0.4×
- Business, Management and Accounting 0.4×
- Medicine 0.4×
- Agricultural and Biological Sciences 0.3×
- Veterinary 0.3×
- Immunology and Microbiology 0.2×
- Health Professions 0.2×
- Arts and Humanities 0.2×
- Social Sciences 0.1×
- Economics, Econometrics and Finance 0.1×
- Dentistry 0.0×
Who are the top researchers at Freed–Hardeman University?
Ranked on the quality score, Gregory D. Massey, Brian P. Butterfield and Eric C. Munscher lead among researchers whose main affiliation is Freed–Hardeman University.
- 1
Gregory D. Massey
United States · #3,048,910 worldwide 96 citations · 21 works
- 2
Brian P. Butterfield
United States · #3,859,067 worldwide 536 citations · 25 works
- 3
Eric C. Munscher
United States · #4,986,759 worldwide 111 citations · 27 works
- 4
W. Edward Osborne
United States · #5,259,033 worldwide 40 citations · 28 works
Which keywords describe research at Freed–Hardeman University?
By fractional works in 2022-now, weighted toward what it does more of than the world: Machine Learning, Deep Learning, Neural Networks, Molecular Dynamics, High-Throughput, Materials Informatics, Data Mining and Neuromorphic Computing.
- Knowledge Graph Embedding
- Cell Culture
- Vibrational Spectroscopy
- Drug Target Identification
- Localization
- Distributed Systems
- Representation Learning
- Ferroelectricity
- Bayesian Networks
- Photonic Reservoir Computing
- Machine Vision
- Robotics
- Graph Convolutional Networks
- Protein
- Image Processing
- Support Vector Machines
- Biomedical Applications
- High-Throughput
- Data Mining
- Deep Learning
- Machine Learning
- Neural Networks
- Molecular Dynamics
- Materials Informatics
- Neuromorphic Computing
- Anomaly Detection
- Prediction
- Field-Effect Transistors
- Nonlinear Dynamics
- Thin Films
- Neuromorphic Photonics
- Medicinal Chemistry
- Bioinformatics
- Hafnium Oxide
- Data Integration
- Heterogeneous Networks
- Molecular Docking
- Raman Spectroscopy
- Virtual Screening
- Graph Neural Networks
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 Learning68▲ 3.9×36 topics
- Deep Learning54▲ 3.0×33 topics
- Neural Networks31▲ 3.9×19 topics
- Data Mining18▲ 4.7×7 topics
- Molecular Dynamics18▲ 20×3 topics
- High-Throughput14▲ 47×1 topic
- Materials Informatics14▲ 47×1 topic
- Biomedical Applications12▲ 1.99×13 topics
- Neuromorphic Computing10▲ 17×2 topics
- Support Vector Machines10▲ 6.0×6 topics
- Anomaly Detection9▲ 5.8×2 topics
- Image Processing9▲ 3.9×6 topics
- Prediction8▲ 21×3 topics
- Protein8▲ 13×3 topics
- Field-Effect Transistors8▲ 9.5×2 topics
- Graph Convolutional Networks8▲ 13×2 topics
- Nonlinear Dynamics8▲ 6.7×2 topics
- Robotics8▲ 6.0×4 topics
- Thin Films8▲ 7.7×2 topics
- Machine Vision7▲ 6.7×4 topics
- Neuromorphic Photonics7▲ 42×1 topic
- Photonic Reservoir Computing7▲ 42×1 topic
- Medicinal Chemistry7▲ 5.1×4 topics
- Bayesian Networks7▲ 15×3 topics
- Bioinformatics7▲ 12×3 topics
- Ferroelectricity7▲ 15×1 topic
- Hafnium Oxide7▲ 40×1 topic
- Representation Learning7▲ 8.5×2 topics
- Data Integration7▲ 7.5×3 topics
- Distributed Systems6▲ 7.1×3 topics
- Heterogeneous Networks6▲ 12×2 topics
- Localization6▲ 10×2 topics
- Molecular Docking6▲ 9.7×2 topics
- Drug Target Identification6▲ 13×1 topic
- Raman Spectroscopy6▲ 6.1×2 topics
- Vibrational Spectroscopy6▲ 15×2 topics
- Virtual Screening6▲ 13×1 topic
- Cell Culture6▲ 9.3×3 topics
- Graph Neural Networks6▲ 20×1 topic
- Knowledge Graph Embedding6▲ 20×1 topic
Which research topics does Freed–Hardeman University publish most on?
By volume in 2022-now: Machine Learning in Materials Science, Neural Networks and Reservoir Computing, Ferroelectric and Negative Capacitance Devices and Computational Drug Discovery Methods.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Machine Learning in Materials Science Materials Chemistry 14 works
- 2 Neural Networks and Reservoir Computing Artificial Intelligence 7 works
- 3 Ferroelectric and Negative Capacitance Devices Electrical and Electronic Engineering 7 works
- 4 Computational Drug Discovery Methods Computational Theory and Mathematics 6 works
- 5 Advanced Graph Neural Networks Artificial Intelligence 6 works
- 6 Spectroscopy Techniques in Biomedical and Chemical Research Biophysics 5 works
- 7 Anomaly Detection Techniques and Applications Artificial Intelligence 5 works
- 8 Machine Learning in Bioinformatics Molecular Biology 5 works
- 9 vaccines and immunoinformatics approaches Molecular Biology 4 works
- 10 Robotics and Sensor-Based Localization Aerospace 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: 40% of research is openly available.
World: 18% is written across borders.
How has Freed–Hardeman University's research output changed?
Output in 2022-2025 was 3958% higher 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 Freed–Hardeman University as a percentage of every work published that year, 0.00014% in 2024.
Fractional works of Freed–Hardeman University over all fractional works that year. How the balance of science has shifted.
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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