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Researcher · Supélec · France

Alireza Roodaki

Alireza Roodaki publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, on topics such as Bayesian Methods and Mixture Models, Coronary Interventions and Diagnostics and Medical Image Segmentation Techniques.

ORCID 0009-0008-5765-0529 OpenAlex
World rank
#4,618,203
of 7,710,434 ranked researchers
Rank in France
#194,511
of 324,115
Works
28
Citations
259
Citations per work
9.3
h-index
8
i10-index 5Top 56% in Artificial Intelligence
Alireza Roodaki

What does Alireza Roodaki research?

Alireza Roodaki's work is mostly in Computer Science (47%), Medicine (20%), Mathematics (12%).

Physical Sciences: 16 works · 58.7% of their workComputer Science: 13 works · 46.7% of their workArtificial Intelligence: 6 works · 20.0% of their workComputer Vision and Pattern Recognition: 5 works · 18.7% of their workSignal Processing: 2 works · 8.0% of their workMathematics: 3 works · 12.0% of their workStatistics and Probability: 3 works · 12.0% of their workEverything else: 6 works · 21.3% of their workHealth Sciences: 6 works · 20.0% of their workMedicine: 6 works · 20.0% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 10.7% of their workSurgery: 3 works · 9.3% of their workTHEIR WORKAlireza Roodaki28works
Physical Sciences59%Health Sciences20%

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 Science1346.7%
    2. Mathematics312.0%
  2. Everything else621.3%
    1. Medicine620.0%
  1. 1Artificial Intelligence20% of their works
  2. 2Computer Vision and Pattern Recognition19% of their works
  3. 3Statistics and Probability12% of their works
  4. 4Radiology, Nuclear Medicine and Imaging11% of their works
  5. 5Surgery9% of their works
  6. 6Signal Processing8% of their works

Research topics

Which keywords describe Alireza Roodaki's research?

The keywords of their largest research topics: Bayesian Inference, Deep Learning, Medical Image Analysis, Clustering, Mixture Models, Coronary Stents, Myocardial Revascularization and Blind Separation.

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 19 words, with their numbers
  1. Bayesian Inference183 topics
  2. Deep Learning112 topics
  3. Medical Image Analysis102 topics
  4. Clustering91 topic
  5. Mixture Models91 topic
  6. Coronary Stents71 topic
  7. Myocardial Revascularization71 topic
  8. Blind Separation61 topic
  9. Graph Cuts61 topic
  10. Image Segmentation61 topic
  11. Independent Component Analysis61 topic
  12. Diabetic Retinopathy51 topic
  13. Nonlinear Estimation51 topic
  14. Particle Filters51 topic
  15. Retinal Disease51 topic
  16. Generalized Exponential41 topic
  17. Leukemia Classification41 topic
  18. Malaria Parasite Detection41 topic
  19. Skew Distributions41 topic

Where does Alireza Roodaki work?

Alireza Roodaki's main affiliation in the publication record is Supélec, France.

How many publications and citations does Alireza Roodaki have?

OpenAlex counts 28 works and 259 citations for Alireza Roodaki, an h-index of 8, ranking #4,618,203 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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