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Researcher · Loyola University Chicago · United States

M. Samie Tootooni

M. Samie Tootooni publishes mostly in Cardiology and Cardiovascular Medicine, Epidemiology and Artificial Intelligence, on topics such as Machine Learning in Healthcare, Sepsis Diagnosis and Treatment and Artificial Intelligence in Healthcare and Education.

ORCID 0000-0001-7235-4914 OpenAlex
World rank
#1,151,381
of 7,710,434 ranked researchers
Rank in United States
#370,794
of 1,627,098
Works
42
Citations
806
Citations per work
19.2
h-index
15
i10-index 18Top 32% in Cardiology and Cardiovascular Medicine
M. Samie Tootooni

What does M. Samie Tootooni research?

M. Samie Tootooni's work is mostly in Medicine (29%), Computer Science (9%), Engineering (9%).

Everything else: 23 works · 54.0% of their workHealth Sciences: 12 works · 28.7% of their workMedicine: 12 works · 28.7% of their workCardiology and Cardiovascular Medicine: 6 works · 13.9% of their workEpidemiology: 4 works · 9.6% of their workHealth Informatics: 2 works · 5.2% of their workPhysical Sciences: 7 works · 17.3% of their workComputer Science: 4 works · 8.7% of their workArtificial Intelligence: 4 works · 8.7% of their workEngineering: 4 works · 8.6% of their workAutomotive Engineering: 2 works · 4.3% of their workMechanical Engineering: 2 works · 4.3% of their workTHEIR WORKM. Samie Tootooni42works
Physical Sciences17%Health Sciences29%

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 else2354.0%
    1. Medicine1228.7%
    1. Computer Science48.7%
    2. Engineering48.6%
  1. 1Cardiology and Cardiovascular Medicine14% of their works
  2. 2Epidemiology10% of their works
  3. 3Artificial Intelligence9% of their works
  4. 4Health Informatics5% of their works
  5. 5Mechanical Engineering4% of their works
  6. 6Automotive Engineering4% of their works

Research topics

Which keywords describe M. Samie Tootooni's research?

The keywords of their largest research topics: Healthcare, Precision Medicine, Deep Learning, Electronic Health Records, Additive Manufacturing, Patient Similarity, Predictive Modeling and Artificial Intelligence.

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 21 words, with their numbers
  1. Healthcare132 topics
  2. Precision Medicine132 topics
  3. Deep Learning122 topics
  4. Electronic Health Records102 topics
  5. Additive Manufacturing82 topics
  6. Patient Similarity71 topic
  7. Predictive Modeling71 topic
  8. Artificial Intelligence61 topic
  9. Machine Learning61 topic
  10. Sepsis61 topic
  11. Septic Shock61 topic
  12. 3D Printing51 topic
  13. Arrhythmia Detection51 topic
  14. ECG Signal51 topic
  15. Materials51 topic
  16. Clinical Decision Support Systems31 topic
  17. Health Information Exchange31 topic
  18. Metallic Components31 topic
  19. Particles31 topic
  20. Selective Laser Melting31 topic
  21. Turbulence31 topic

Where does M. Samie Tootooni work?

M. Samie Tootooni's main affiliation in the publication record is Loyola University Chicago, United States.

How many publications and citations does M. Samie Tootooni have?

OpenAlex counts 42 works and 806 citations for M. Samie Tootooni, an h-index of 15, ranking #1,151,381 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.

Discussion

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