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Researcher · Dalhousie University · Canada

Ali R. Vahdat

Ali R. Vahdat publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Advanced Clustering Algorithms Research, Data Stream Mining Techniques and Evolutionary Algorithms and Applications.

OpenAlex
World rank
#3,639,087
of 7,710,434 ranked researchers
Rank in Canada
#114,542
of 183,316
Works
23
Citations
355
Citations per work
15.4
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Ali R. Vahdat

What does Ali R. Vahdat research?

Ali R. Vahdat's work is mostly in Computer Science (66%), Environmental Science (4%), Agricultural and Biological Sciences (3%).

Physical Sciences: 17 works · 73.5% of their workComputer Science: 15 works · 66.2% of their workArtificial Intelligence: 11 works · 47.1% of their workComputer Vision and Pattern Recognition: 3 works · 13.2% of their workSignal Processing: 1 works · 5.9% of their workEnvironmental Science: 1 works · 4.4% of their workWater Science and Technology: 1 works · 4.4% of their workEngineering: 1 works · 2.9% of their workMedia Technology: 1 works · 2.9% of their workEverything else: 5 works · 23.6% of their workLife Sciences: 1 works · 2.9% of their workAgricultural and Biological Sciences: 1 works · 2.9% of their workFood Science: 1 works · 2.9% of their workTHEIR WORKAli R. Vahdat23works
Life Sciences3%Physical Sciences74%

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 Science1566.2%
    2. Environmental Science14.4%
    3. Engineering12.9%
  2. Everything else523.6%
    1. Agricultural and Biological Sciences12.9%
  1. 1Artificial Intelligence47% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Signal Processing6% of their works
  4. 4Water Science and Technology4% of their works
  5. 5Food Science3% of their works
  6. 6Media Technology3% of their works

Research topics

Which keywords describe Ali R. Vahdat's research?

The keywords of their largest research topics: Evolutionary Algorithms, Classification, Clustering Algorithms, K-means, Machine Learning, Concept Drift, Data Streams and Differential Evolution.

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 19 words, with their numbers
  1. Evolutionary Algorithms143 topics
  2. Classification93 topics
  3. Clustering Algorithms61 topic
  4. K-means61 topic
  5. Machine Learning62 topics
  6. Concept Drift51 topic
  7. Data Streams51 topic
  8. Differential Evolution41 topic
  9. Feature Selection41 topic
  10. Genetic Programming41 topic
  11. Particle Swarm Optimization41 topic
  12. Hyperparameter Optimization31 topic
  13. Noisy Labels31 topic
  14. Active Learning21 topic
  15. Consumer Perception21 topic
  16. Imbalanced Data21 topic
  17. SMOTE21 topic
  18. Semi-Supervised Learning21 topic
  19. Sensory Analysis21 topic

Where does Ali R. Vahdat work?

Ali R. Vahdat's main affiliation in the publication record is Dalhousie University, Canada.

How many publications and citations does Ali R. Vahdat have?

OpenAlex counts 23 works and 355 citations for Ali R. Vahdat, an h-index of 10, ranking #3,639,087 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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