Spectral Sciences (United States)
In research, Spectral Sciences (United States) stands highest in Physical Sciences (#7,792 of 21,541 worldwide), over all time.
- World rank, all time
- #13,668 of 42,892
- Rank in United States
- #3,004 of 8,685
- Research works
- 302 ▼ 33% vs 2013–17
- Citations
- 6.6k 21.8 per fractional work
- Top-10% rate
- 11.5% record average 16.5%
- Open access
- 15% world 28%
What is Spectral Sciences (United States) known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #7,792 of 21,541 | 15.1% | 278 |
Each strip is that field’s whole ranked pool, with the notch where Spectral Sciences (United States) 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).
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: Physics and Astronomy, 5.3×. Every wedge is a field page.
- Physics and Astronomy 5.3×
- Earth and Planetary Sciences 5.2×
- Environmental Science 3.3×
- Chemistry 2.9×
- Engineering 2.2×
- Pharmacology, Toxicology and Pharmaceutics 1.9×
- Computer Science 1.3×
- Immunology and Microbiology 0.7×
- Medicine 0.6×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Neuroscience 0.1×
- Materials Science 0.1×
- Economics, Econometrics and Finance 0.0×
- Social Sciences 0.0×
Who are the top researchers at Spectral Sciences (United States)?
Ranked on the composite score, Lawrence S. Bernstein, James H. Chetwynd and Alexander Berk lead among researchers whose main affiliation is Spectral Sciences (United States).
- 1 Lawrence S. Bernstein United States · #107,530 worldwide 312 citations · 73 works
- 2 James H. Chetwynd United States · #258,509 worldwide 312 citations · 16 works
- 3 Alexander Berk United States · #345,071 worldwide 246 citations · 44 works
- 4 Prabhat K. Acharya United States · #359,808 worldwide 175 citations · 20 works
- 5 S. M. Adler‐Golden United States · #536,243 worldwide 143 citations · 18 works
- 6 Steven C. Richtsmeier United States · #795,306 worldwide 74 citations · 21 works
- 7 John Gruninger United States · #871,997 worldwide 70 citations · 24 works
- 8 Ming-Kai Tse United States · #888,221 worldwide 6 citations · 15 works
- 9 Robert Sundberg United States · #905,404 worldwide 44 citations · 24 works
- 10 Steven M. Adler‐Golden United States · #1,027,632 worldwide 90 citations · 20 works
Which keywords describe research at Spectral Sciences (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Remote Sensing, Sparse Representation, Deep Learning, Hyperspectral, Detection, Infrared, Small Target and Support Vector Machines.
- Tumor Metastasis
- Decellularization
- Urban Heat Island
- Hyperspectral Imaging
- Climate Change
- Ensemble Kalman Filter
- Convolutional Neural Networks
- Classification
- Image Analysis
- On-Orbit Performance
- Support Vector Machines
- Infrared
- Detection
- Deep Learning
- Remote Sensing
- Sparse Representation
- Hyperspectral
- Small Target
- Machine Learning
- Radiometric Calibration
- Change Detection
- Climate
- Data Assimilation
- Drug Resistance
- Green Roofs
- Satellite Observations
- Cancer Stem Cells
- Extracellular Matrix
- Wavelet Transform
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 29 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 29 words, with their numbers
- Remote Sensing7▲ 21×12 topics
- Deep Learning3▲ 3.6×7 topics
- Sparse Representation3▲ 54×2 topics
- Detection2▲ 28×2 topics
- Hyperspectral2▲ 99×2 topics
- Infrared2▲ 240×1 topic
- Small Target2▲ 240×1 topic
- Support Vector Machines2▲ 24×2 topics
- Machine Learning2▲ 1.98×5 topics
- On-Orbit Performance2▲ 549×1 topic
- Radiometric Calibration2▲ 549×1 topic
- Image Analysis2▲ 63×2 topics
- Change Detection1▲ 84×1 topic
- Classification1▲ 13×1 topic
- Climate1▲ 67×2 topics
- Convolutional Neural Networks1▲ 7.3×3 topics
- Data Assimilation1▲ 34×1 topic
- Ensemble Kalman Filter1▲ 53×1 topic
- Drug Resistance1▲ 17×2 topics
- Climate Change1▲ 1.60×2 topics
- Green Roofs1▲ 81×1 topic
- Hyperspectral Imaging1▲ 15×3 topics
- Satellite Observations1▲ 44×2 topics
- Urban Heat Island1▲ 44×1 topic
- Cancer Stem Cells1▲ 92×1 topic
- Decellularization1▲ 122×1 topic
- Extracellular Matrix1▲ 23×1 topic
- Tumor Metastasis1▲ 72×1 topic
- Wavelet Transform1▲ 18×2 topics
Which research topics does Spectral Sciences (United States) publish most on?
By volume in 2022–2025: Infrared Target Detection Methodologies, Calibration and Measurement Techniques, Remote-Sensing Image Classification and Meteorological Phenomena and Simulations.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Infrared Target Detection Methodologies Aerospace Engineering 2 works
- 2 Calibration and Measurement Techniques Aerospace Engineering 2 works
- 3 Remote-Sensing Image Classification Media Technology 1 works
- 4 Meteorological Phenomena and Simulations Atmospheric Science 1 works
- 5 Urban Heat Island Mitigation Environmental Engineering 1 works
- 6 Cancer Cells and Metastasis Oncology 1 works
- 7 Tissue Engineering and Regenerative Medicine Surgery 1 works
- 8 Atmospheric aerosols and clouds Global and Planetary Change 1 works
- 9 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
- 10 Advanced Image Fusion Techniques Media Technology 1 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 Spectral Sciences (United States)'s research output changed?
Output in 2018–2022 was 33% lower 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.
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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.