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Researcher · Broadlawns Medical Center · United States

Nicholas Galioto

Nicholas Galioto publishes mostly in Control and Systems Engineering, Artificial Intelligence and Molecular Biology, on topics such as Fault Detection and Control Systems, Control Systems and Identification and Gaussian Processes and Bayesian Inference.

ORCID 0000-0001-8213-2442 OpenAlex
World rank
#4,001,869
of 7,710,434 ranked researchers
Rank in United States
#1,091,476
of 1,627,098
Works
29
Citations
195
Citations per work
6.7
h-index
6
i10-index 5Top 71% in Control and Systems Engineering
Nicholas Galioto

What does Nicholas Galioto research?

Nicholas Galioto's work is mostly in Engineering (23%), Computer Science (8%), Biochemistry, Genetics and Molecular Biology (7%).

Everything else: 15 works · 50.7% of their workPhysical Sciences: 9 works · 31.3% of their workEngineering: 7 works · 22.9% of their workControl and Systems Engineering: 5 works · 18.1% of their workElectrical and Electronic Engineering: 1 works · 4.8% of their workComputer Science: 2 works · 8.4% of their workArtificial Intelligence: 2 works · 8.4% of their workHealth Sciences: 3 works · 10.8% of their workDentistry: 2 works · 6.0% of their workPeriodontics: 2 works · 6.0% of their workHealth Professions: 1 works · 4.8% of their workPharmacy: 1 works · 4.8% of their workLife Sciences: 2 works · 7.2% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 7.2% of their workMolecular Biology: 2 works · 7.2% of their workTHEIR WORKNicholas Galioto29works
Life Sciences7%Physical Sciences31%Health Sciences11%

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. Everything else1550.7%
    1. Engineering722.9%
    2. Computer Science28.4%
    1. Dentistry26.0%
    2. Health Professions14.8%
    1. Biochemistry, Genetics and Molecular Biology27.2%
  1. 1Control and Systems Engineering18% of their works
  2. 2Artificial Intelligence8% of their works
  3. 3Molecular Biology7% of their works
  4. 4Periodontics6% of their works
  5. 5Pharmacy5% of their works
  6. 6Electrical and Electronic Engineering5% of their works

Research topics

Which keywords describe Nicholas Galioto's research?

The keywords of their largest research topics: Machine Learning, Fault Detection, Process Monitoring, State Estimation, Deep Learning, Bayesian Inference, Parameter Estimation and System Identification.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Machine Learning173 topics
  2. Fault Detection91 topic
  3. Process Monitoring91 topic
  4. State Estimation92 topics
  5. Deep Learning82 topics
  6. Bayesian Inference72 topics
  7. Parameter Estimation61 topic
  8. System Identification61 topic
  9. Drug-Induced41 topic
  10. Gaussian Processes41 topic
  11. Gingival Overgrowth41 topic
  12. Model Reduction41 topic
  13. Oral Mucosal Disorders41 topic
  14. Partial Differential Equations41 topic
  15. Potentially Malignant Disorders41 topic
  16. Variational Inference41 topic
  17. Keratocystic Odontogenic Tumor31 topic
  18. Nonlinear Estimation31 topic
  19. Odontogenic Tumors31 topic
  20. Particle Filters31 topic

Where does Nicholas Galioto work?

Nicholas Galioto's main affiliation in the publication record is Broadlawns Medical Center, United States.

How many publications and citations does Nicholas Galioto have?

OpenAlex counts 29 works and 195 citations for Nicholas Galioto, an h-index of 6, ranking #4,001,869 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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