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Researcher · Huawei Technologies (Canada) · Canada

Mozhgan Pourkeshavarz

Mozhgan Pourkeshavarz publishes mostly in Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence, on topics such as Autonomous Vehicle Technology and Safety, Multimodal Machine Learning Applications and Traffic Prediction and Management Techniques.

ORCID 0000-0001-9657-0793 OpenAlex
World rank
#3,166,006
of 7,710,434 ranked researchers
Rank in Canada
#101,286
of 183,316
Works
18
Citations
180
Citations per work
10.0
h-index
7
i10-index 4Top 69% in Computer Vision and Pattern Recognition
Mozhgan Pourkeshavarz

What does Mozhgan Pourkeshavarz research?

Mozhgan Pourkeshavarz's work is mostly in Computer Science (36%), Engineering (35%), Medicine (8%).

Physical Sciences: 13 works · 71.1% of their workComputer Science: 7 works · 36.5% of their workComputer Vision and Pattern Recognition: 4 works · 25.0% of their workArtificial Intelligence: 2 works · 11.5% of their workEngineering: 6 works · 34.6% of their workAutomotive Engineering: 3 works · 19.2% of their workBuilding and Construction: 1 works · 7.7% of their workSafety, Risk, Reliability and Quality: 1 works · 7.7% of their workEverything else: 4 works · 21.2% of their workHealth Sciences: 1 works · 7.7% of their workMedicine: 1 works · 7.7% of their workCardiology and Cardiovascular Medicine: 1 works · 7.7% of their workTHEIR WORKMozhganPourkeshavarz18works
Physical Sciences71%Health Sciences8%

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 Science736.5%
    2. Engineering634.6%
  2. Everything else421.2%
    1. Medicine17.7%
  1. 1Computer Vision and Pattern Recognition25% of their works
  2. 2Automotive Engineering19% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Cardiology and Cardiovascular Medicine8% of their works
  5. 5Safety, Risk, Reliability and Quality8% of their works
  6. 6Building and Construction8% of their works

Research topics

Which keywords describe Mozhgan Pourkeshavarz's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Neural Networks, Autonomous Vehicles, Trajectory Prediction, Spatial Analysis, Driver Behavior and Image Captioning.

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. Deep Learning256 topics
  2. Machine Learning132 topics
  3. Neural Networks134 topics
  4. Autonomous Vehicles101 topic
  5. Trajectory Prediction101 topic
  6. Spatial Analysis62 topics
  7. Driver Behavior41 topic
  8. Image Captioning41 topic
  9. Short-Term Forecasting41 topic
  10. Traffic Accidents41 topic
  11. Traffic Flow41 topic
  12. Visual Question Answering41 topic
  13. Adversarial Examples31 topic
  14. Robustness31 topic
  15. Anomaly Detection21 topic
  16. Feature Matching21 topic
  17. Information Visualization21 topic
  18. Local Descriptors21 topic
  19. Unsupervised21 topic
  20. Visual Analytics21 topic

Where does Mozhgan Pourkeshavarz work?

Mozhgan Pourkeshavarz's main affiliation in the publication record is Huawei Technologies (Canada), Canada.

How many publications and citations does Mozhgan Pourkeshavarz have?

OpenAlex counts 18 works and 180 citations for Mozhgan Pourkeshavarz, an h-index of 7, ranking #3,166,006 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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