Signal Processing (United States)
In research, Signal Processing (United States) stands highest in Physical Sciences (#7,625 of 10,670 worldwide), 2022-now. Relative to its size it is most specialised in Computer Science (Computer Science is 4.5× its share of world research).
- World rank, 2022-now
- #15,165 of 22,385 · #11,800 all time
- Rank in United States
- #2,169 of 3,332
- Research works
- 2.5k ▼ 46% vs 2018-21
- Citations
- 38k 15.1 per fractional work
- Top-10% rate
- 7.8% all institutions 10.0%
- vs its own fields
- 0.93× 1.00× is exactly expected
- Open access
- 27% world 40%
- International
- 36% world 18%
What is Signal Processing (United States) 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 | #7,625 of 10,670 | 7.3% | 113 | #5809 |
Each strip is that field's whole ranked pool, with the notch where Signal Processing (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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Signal Processing (United States) work in?
In 2022-now, 80% of research at Signal Processing (United States) is in Physical Sciences, 7% in Social Sciences. Its largest fields are Computer Science (35%), Engineering (32%), Medicine (6%). It does 2.0× 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 21 fields, with their numbers
- Physical Sciences11979.9%
- Computer Science5234.8%
- Engineering4731.8%
- Earth and Planetary Sciences74.7%
- Physics and Astronomy63.9%
- Environmental Science53.5%
- Mathematics10.7%
- Chemistry10.5%
- Materials Science00.1%
- Social Sciences117.4%
- Health Sciences107.1%
- Medicine85.5%
- Health Professions21.4%
- Veterinary00.1%
- Nursing00.1%
- Life Sciences85.6%
What does Signal Processing (United States) specialise in?
Where its research is concentrated relative to its size: Computer Science takes 4.5× the share of its output that it takes of world research.
- Computer ScienceField · 51.6 works4.5×
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: Computer Science, 4.5×. Every wedge is a field page.
All 21 fields, with their numbers
- Computer Science4.47×52 works
- Earth and Planetary Sciences2.99×7 works
- Decision Sciences2.20×3 works
- Engineering2.12×47 works
- Physics and Astronomy1.76×6 works
- Neuroscience1.65×4 works
- Environmental Science0.70×5 works
- Economics, Econometrics and Finance0.62×2 works
- Mathematics0.60×1 works
- Veterinary0.55×0 works
- Health Professions0.53×2 works
- Biochemistry, Genetics and Molecular Biology0.34×3 works
- Chemistry0.30×1 works
- Medicine0.29×8 works
- Psychology0.28×1 works
- Agricultural and Biological Sciences0.23×2 works
- Arts and Humanities0.22×1 works
- Business, Management and Accounting0.17×1 works
- Social Sciences0.16×3 works
- Nursing0.11×0 works
- Materials Science0.02×0 works
- Computer Science 4.5×
- Earth and Planetary Sciences 3.0×
- Decision Sciences 2.2×
- Engineering 2.1×
- Physics and Astronomy 1.8×
- Neuroscience 1.6×
- Environmental Science 0.7×
- Economics, Econometrics and Finance 0.6×
- Mathematics 0.6×
- Veterinary 0.6×
- Health Professions 0.5×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Chemistry 0.3×
- Medicine 0.3×
- Psychology 0.3×
- Agricultural and Biological Sciences 0.2×
- Arts and Humanities 0.2×
- Business, Management and Accounting 0.2×
- Social Sciences 0.2×
- Nursing 0.1×
- Materials Science 0.0×
Who are the top researchers at Signal Processing (United States)?
Ranked on the quality score, M. Krasner, Bulent Ayhan and Ajem Guido Janssen lead among researchers whose main affiliation is Signal Processing (United States).
- 1
M. Krasner
United States · #2,422,625 worldwide 691 citations · 28 works
- 2
Bulent Ayhan
United States · #2,592,120 worldwide 3.4k citations · 105 works
- 3
Ajem Guido Janssen
United States · #3,808,836 worldwide 517 citations · 28 works
- 4
Joseph R. Fisher
United States · #3,959,361 worldwide 274 citations · 24 works
- 5
Frank Baumgarte
United States · #4,513,379 worldwide 631 citations · 27 works
- 6
Leo Llm Vogten
United States · #4,828,872 worldwide 302 citations · 27 works
- 7
J. van den Tillaart
United States · #5,153,026 worldwide 5 citations · 17 works
- 8
TJ Tjalling Tjalkens
United States · #5,487,158 worldwide 79 citations · 15 works
- 9
Hhm Erik Korsten
United States · #5,688,929 worldwide 27 citations · 16 works
- 10
Faculteit Elektrotechniek
United States · #5,696,610 worldwide 1 citations · 19 works
Which keywords describe research at Signal Processing (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Machine Learning, Beamforming, Audio-Visual Speech Recognition, Speech Enhancement and Feature Extraction.
- Particle Swarm Optimization
- Doppler Radar
- Genetic Algorithms
- Channel Estimation
- Surface Deformation Monitoring
- Wireless Communications
- Adaptive Filtering
- Signal Processing
- Satellite Observations
- Data Assimilation
- Classification
- Validation
- Hydrological Modeling
- Acoustic Modeling
- Deep Neural Networks
- Wireless Sensor Networks
- Remote Sensing
- Audio-Visual Speech Recognition
- Machine Learning
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Beamforming
- Speech Enhancement
- Feature Extraction
- Hidden Markov Models
- Sparse Representation
- Speaker Verification
- Support Vector Machines
- Hyperspectral Imaging
- Audio Signal Classification
- Music Information Retrieval
- Global Monitoring
- Soil Moisture
- Non-Gaussian Signal Processing
- SAR Interferometry
- Robotics
- Wavelet Transform
- Transfer Learning
- Geophysical Imaging
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
- Deep Learning29▲ 5.7×48 topics
- Neural Networks16▲ 6.8×21 topics
- Convolutional Neural Networks14▲ 13×13 topics
- Machine Learning14▲ 2.8×34 topics
- Beamforming8▲ 49×3 topics
- Audio-Visual Speech Recognition6▲ 80×1 topic
- Speech Enhancement6▲ 80×1 topic
- Remote Sensing6▲ 3.2×13 topics
- Feature Extraction6▲ 8.1×9 topics
- Wireless Sensor Networks5▲ 7.8×11 topics
- Hidden Markov Models5▲ 59×2 topics
- Deep Neural Networks5▲ 27×2 topics
- Sparse Representation4▲ 15×6 topics
- Acoustic Modeling4▲ 73×1 topic
- Speaker Verification4▲ 73×1 topic
- Hydrological Modeling4▲ 10.0×4 topics
- Support Vector Machines3▲ 7.0×6 topics
- Validation3▲ 24×2 topics
- Hyperspectral Imaging3▲ 7.3×6 topics
- Classification3▲ 4.1×6 topics
- Audio Signal Classification3▲ 49×1 topic
- Data Assimilation3▲ 11×3 topics
- Music Information Retrieval3▲ 49×1 topic
- Satellite Observations3▲ 18×2 topics
- Global Monitoring2▲ 65×1 topic
- Signal Processing2▲ 12×5 topics
- Soil Moisture2▲ 23×1 topic
- Adaptive Filtering2▲ 116×1 topic
- Non-Gaussian Signal Processing2▲ 116×1 topic
- Wireless Communications2▲ 9.3×5 topics
- SAR Interferometry2▲ 66×1 topic
- Surface Deformation Monitoring2▲ 66×1 topic
- Robotics2▲ 5.9×4 topics
- Channel Estimation2▲ 16×4 topics
- Wavelet Transform2▲ 6.1×6 topics
- Genetic Algorithms2▲ 10×2 topics
- Transfer Learning2▲ 7.2×3 topics
- Doppler Radar2▲ 16×2 topics
- Geophysical Imaging2▲ 24×2 topics
- Particle Swarm Optimization2▲ 11×2 topics
Which research topics does Signal Processing (United States) publish most on?
By volume in 2022-now: Speech and Audio Processing, Speech Recognition and Synthesis, Music and Audio Processing and Soil Moisture and Remote Sensing.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Speech and Audio Processing Signal Processing 6 works
- 2 Speech Recognition and Synthesis Artificial Intelligence 4 works
- 3 Music and Audio Processing Signal Processing 3 works
- 4 Soil Moisture and Remote Sensing Environmental Engineering 2 works
- 5 Advanced Adaptive Filtering Techniques Computational Mechanics 2 works
- 6 Synthetic Aperture Radar (SAR) Applications and Techniques Aerospace Engineering 2 works
- 7 Blind Source Separation Techniques Signal Processing 2 works
- 8 Antenna Design and Optimization Aerospace Engineering 2 works
- 9 Underwater Acoustics Research Oceanography 2 works
- 10 Neural Networks and Applications Artificial Intelligence 2 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 Signal Processing (United States)'s research output changed?
Output in 2022-2025 was 46% 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 Signal Processing (United States) as a percentage of every work published that year, 0.00069% in 2024.
Fractional works of Signal Processing (United States) 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 18.2% in 1991.
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Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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