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University · Hendersonville · United States

Freed–Hardeman University

In research, Freed–Hardeman University stands highest in Physical Sciences (#10,885 of 12,888 worldwide), Life Sciences (#7,426 of 7,800 worldwide) and Engineering (#6,411 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence — Artificial Intelligence is 4.0× its share of world research.

fhu.eduROR OpenAlex
World rank, 2022–2025
#16,603
of 28,054 · #33,851 all time
Rank in United States
#2,363
of 4,192
Research works
579
▲ 104% vs 2013–17
Citations
721
1.2 per fractional work
Top-10% rate
1.1%
record average 16.5%
Open access
91%
world 28%

What is Freed–Hardeman University known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Physical SciencesDomain #10,885 of 12,888 0.1%341 #20633
Life SciencesDomain #7,426 of 7,800 0.4%93 —
EngineeringField #6,411 of 6,636 0.2%149 #11386
Computer ScienceField #4,565 of 4,667 0.0%100 —
Biochemistry, Genetics and Molecular BiologyField #3,556 of 3,579 0.5%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 world mark, because the world rate differs by field (from about 6% to 21% in this record).

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.

  1. Artificial IntelligenceSubfield · 49.0 works4.0×
← less than its size predicts1×more →

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.

Agricultural and Biological Sciences: 0.33× its world share, 8 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 2.57× its world share, 70 worksBiochemistry, Geneti…Immunology and Microbiology: 0.24× its world share, 1 worksImmunology and Micro…Neuroscience: 1.33× its world share, 11 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 1.41× its world share, 3 worksPharmacology, Toxico…Chemical Engineering: 0.43× its world share, 1 worksChemical EngineeringChemistry: 0.80× its world share, 6 worksChemistryComputer Science: 2.49× its world share, 100 worksComputer ScienceEarth and Planetary Sciences: 0.91× its world share, 7 worksEarth and Planetary …Energy: 0.78× its world share, 4 worksEnergyEngineering: 1.93× its world share, 148 worksEngineeringEnvironmental Science: 0.48× its world share, 12 worksEnvironmental ScienceMaterials Science: 1.65× its world share, 30 worksMaterials ScienceMathematics: 0.77× its world share, 5 worksMathematicsPhysics and Astronomy: 2.44× its world share, 28 worksPhysics and AstronomyHealth Professions: 0.19× its world share, 3 worksHealth ProfessionsMedicine: 0.36× its world share, 36 worksMedicineVeterinary: 0.28× its world share, 0 worksVeterinaryArts and Humanities: 0.19× its world share, 3 worksArts and HumanitiesBusiness, Management and Accounting: 0.38× its world share, 6 worksBusiness, Management…Decision Sciences: 2.15× its world share, 11 worksDecision SciencesEconomics, Econometrics and Finance: 0.13× its world share, 1 worksEconomics, Econometr…Psychology: 0.74× its world share, 12 worksPsychologySocial Sciences: 0.13× its world share, 8 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Biochemistry, Genetics and Molecular Biology, 2.6×. Every wedge is a field page.

Which keywords describe research at Freed–Hardeman University?

By fractional works in 2022–2025, 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.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Machine Learning66▲ 4.0×32 topics
  2. Deep Learning53▲ 3.0×31 topics
  3. Neural Networks30▲ 3.8×18 topics
  4. Molecular Dynamics18▲ 21×3 topics
  5. Data Mining17▲ 4.5×6 topics
  6. High-Throughput14▲ 54×1 topic
  7. Materials Informatics14▲ 54×1 topic
  8. Biomedical Applications12▲ 2.0×13 topics
  9. Neuromorphic Computing10▲ 17×2 topics
  10. Support Vector Machines10▲ 6.1×6 topics
  11. Anomaly Detection9▲ 5.8×2 topics
  12. Image Processing9▲ 3.8×6 topics
  13. Prediction8▲ 22×3 topics
  14. Protein8▲ 14×3 topics
  15. Field-Effect Transistors8▲ 9.3×2 topics
  16. Graph Convolutional Networks8▲ 13×2 topics
  17. Nonlinear Dynamics8▲ 6.8×2 topics
  18. Thin Films8▲ 7.8×2 topics
  19. Machine Vision7▲ 6.3×4 topics
  20. Neuromorphic Photonics7▲ 47×1 topic
  21. Photonic Reservoir Computing7▲ 47×1 topic
  22. Medicinal Chemistry7▲ 5.0×4 topics
  23. Bayesian Networks7▲ 15×3 topics
  24. Bioinformatics7▲ 12×3 topics
  25. Ferroelectricity7▲ 15×1 topic
  26. Hafnium Oxide7▲ 43×1 topic
  27. Representation Learning7▲ 9.8×2 topics
  28. Robotics7▲ 5.6×3 topics
  29. Data Integration7▲ 7.8×3 topics
  30. Distributed Systems6▲ 7.4×3 topics
  31. Heterogeneous Networks6▲ 13×2 topics
  32. Localization6▲ 10×2 topics
  33. Molecular Docking6▲ 9.4×2 topics
  34. Drug Target Identification6▲ 12×1 topic
  35. Vibrational Spectroscopy6▲ 15×2 topics
  36. Virtual Screening6▲ 12×1 topic
  37. Cell Culture6▲ 9.7×3 topics
  38. Graph Neural Networks6▲ 24×1 topic
  39. Knowledge Graph Embedding6▲ 24×1 topic
  40. Biomedical Imaging5▲ 17×1 topic

Which research topics does Freed–Hardeman University publish most on?

By volume in 2022–2025: Machine Learning in Materials Science, Neural Networks and Reservoir Computing, Ferroelectric and Negative Capacitance Devices and Computational Drug Discovery Methods.

Machine Learning in Mate…14Machine Learning in Materials Science: 14 fractional worksNeural Networks and Reservoir Computing: 7 fractional worksFerroelectric and Negative Capacitance Devices: 7 fractional worksComputational Drug Discovery Methods: 6 fractional worksAdvanced Graph Neural Networks: 6 fractional worksSpectroscopy Techniques in Biomedical and Chemical Research: 5 fractional worksAnomaly Detection Techni…5Anomaly Detection Techniques and Applications: 5 fractional worksMachine Learning in Bioi…5Machine Learning in Bioinformatics: 5 fractional worksvaccines and immunoinfor…4vaccines and immunoinformatics approaches: 4 fractional worksRobotics and Sensor-Base…4Robotics and Sensor-Based Localization: 4 fractional works
Materials ChemistryArtificial IntelligenceElectrical and Electronic EngineeringComputational Theory and Mathematics3 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Machine Learning in Materials Science Materials Chemistry 14 works
  2. 2 Neural Networks and Reservoir Computing Artificial Intelligence 7 works
  3. 3 Ferroelectric and Negative Capacitance Devices Electrical and Electronic Engineering 7 works
  4. 4 Computational Drug Discovery Methods Computational Theory and Mathematics 6 works
  5. 5 Advanced Graph Neural Networks Artificial Intelligence 6 works
  6. 6 Spectroscopy Techniques in Biomedical and Chemical Research Biophysics 5 works
  7. 7 Anomaly Detection Techniques and Applications Artificial Intelligence 5 works
  8. 8 Machine Learning in Bioinformatics Molecular Biology 5 works
  9. 9 vaccines and immunoinformatics approaches Molecular Biology 4 works
  10. 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.

openly available91.0%not open9.0%

World: 28% of research is openly available.

with international co-authors1.6%domestic only98.4%

World: 19% is written across borders.

How has Freed–Hardeman University's research output changed?

Output in 2018–2022 was 104% higher than in 2013–2017.

1990200020102020
grewheldshrank

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.