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Researcher · Institute for Research in Fundamental Sciences · Iran

Mohammad Sabokrou

Mohammad Sabokrou publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, on topics such as Anomaly Detection Techniques and Applications, Adversarial Robustness in Machine Learning and Advanced Neural Network Applications.

ORCID 0000-0002-9409-2799 OpenAlex
World rank
#667,959
of 7,710,434 ranked researchers
Rank in Iran
#3,230
of 71,317
Works
117
Citations
2.8k
Citations per work
23.6
h-index
22
i10-index 35Top 10% in Artificial Intelligence
Mohammad Sabokrou

What does Mohammad Sabokrou research?

Mohammad Sabokrou's work is mostly in Computer Science (69%), Engineering (7%).

Physical Sciences: 89 works · 75.9% of their workComputer Science: 81 works · 68.9% of their workArtificial Intelligence: 42 works · 35.7% of their workComputer Vision and Pattern Recognition: 30 works · 25.3% of their workComputer Networks and Communications: 6 works · 4.9% of their workSignal Processing: 4 works · 3.0% of their workEngineering: 8 works · 7.0% of their workElectrical and Electronic Engineering: 6 works · 4.9% of their workAutomotive Engineering: 2 works · 2.1% of their workEverything else: 28 works · 24.1% of their workTHEIR WORKMohammad Sabokrou117works
Physical Sciences76%

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 Science8168.9%
    2. Engineering87.0%
  2. Everything else2824.1%
  1. 1Artificial Intelligence36% of their works
  2. 2Computer Vision and Pattern Recognition25% of their works
  3. 3Computer Networks and Communications5% of their works
  4. 4Electrical and Electronic Engineering5% of their works
  5. 5Signal Processing3% of their works
  6. 6Automotive Engineering2% of their works

Research topics

Which keywords describe Mohammad Sabokrou's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Anomaly Detection, Outlier Detection, Unsupervised, Machine Learning, Convolutional Neural Networks and Adversarial Examples.

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 21 words, with their numbers
  1. Deep Learning1307 topics
  2. Neural Networks722 topics
  3. Anomaly Detection552 topics
  4. Outlier Detection451 topic
  5. Unsupervised451 topic
  6. Machine Learning372 topics
  7. Convolutional Neural Networks292 topics
  8. Adversarial Examples271 topic
  9. Robustness271 topic
  10. Image Recognition181 topic
  11. Object Detection181 topic
  12. Domain Adaptation141 topic
  13. Transfer Learning141 topic
  14. Action Recognition111 topic
  15. Object Tracking111 topic
  16. Pose Estimation111 topic
  17. Visual Tracking111 topic
  18. Intrusion Detection101 topic
  19. Network Security101 topic
  20. Feature Matching81 topic
  21. Local Descriptors81 topic

Where does Mohammad Sabokrou work?

Mohammad Sabokrou's main affiliation in the publication record is Institute for Research in Fundamental Sciences, Iran.

How many publications and citations does Mohammad Sabokrou have?

OpenAlex counts 117 works and 2,764 citations for Mohammad Sabokrou, an h-index of 22, ranking #667,959 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.

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