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Researcher · Stanford University · United States

T. Kailath

T. Kailath publishes mostly in Signal Processing, Control and Systems Engineering and Artificial Intelligence, on topics such as Control Systems and Identification, Advanced Adaptive Filtering Techniques and Matrix Theory and Algorithms.

OpenAlex
World rank
#92,218
of 7,710,434 ranked researchers
Rank in United States
#35,494
of 1,627,098
Works
766
Citations
60k
Citations per work
77.7
h-index
103
i10-index 394Top 0.1% in Signal Processing
T. Kailath

What does T. Kailath research?

T. Kailath's work is mostly in Computer Science (32%), Engineering (29%).

Physical Sciences: 464 works · 60.6% of their workComputer Science: 244 works · 31.9% of their workSignal Processing: 113 works · 14.8% of their workArtificial Intelligence: 73 works · 9.5% of their workComputational Theory and Mathematics: 58 works · 7.6% of their workEngineering: 220 works · 28.7% of their workControl and Systems Engineering: 106 works · 13.8% of their workElectrical and Electronic Engineering: 67 works · 8.7% of their workComputational Mechanics: 47 works · 6.2% of their workEverything else: 302 works · 39.4% of their workTHEIR WORKT. Kailath766works
Physical Sciences61%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science24431.9%
    2. Engineering22028.7%
  2. Everything else30239.4%
  1. 1Signal Processing15% of their works
  2. 2Control and Systems Engineering14% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Electrical and Electronic Engineering9% of their works
  5. 5Computational Theory and Mathematics8% of their works
  6. 6Computational Mechanics6% of their works

Research topics

Which keywords describe T. Kailath's research?

The keywords of their largest research topics: State Estimation, Beamforming, Deep Learning, Neural Networks, Parameter Estimation, System Identification, Adaptive Filtering and Non-Gaussian Signal Processing.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 20 words, with their numbers
  1. State Estimation2232 topics
  2. Beamforming1872 topics
  3. Deep Learning1362 topics
  4. Neural Networks1362 topics
  5. Parameter Estimation1291 topic
  6. System Identification1291 topic
  7. Adaptive Filtering1101 topic
  8. Non-Gaussian Signal Processing1101 topic
  9. Matrix Computations1041 topic
  10. Numerical Linear Algebra1041 topic
  11. Array Processing1021 topic
  12. Direction-of-Arrival Estimation1021 topic
  13. Blind Separation971 topic
  14. Independent Component Analysis971 topic
  15. Nonlinear Estimation941 topic
  16. Particle Filters941 topic
  17. Audio-Visual Speech Recognition851 topic
  18. Speech Enhancement851 topic
  19. Backpropagation Learning511 topic
  20. Self-Organizing Maps511 topic

Where does T. Kailath work?

T. Kailath's main affiliation in the publication record is Stanford University, United States.

How many publications and citations does T. Kailath have?

OpenAlex counts 766 works and 59,527 citations for T. Kailath, an h-index of 103, ranking #92,218 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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