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Researcher · Sharif University of Technology · Iran

Mohammad Hossein Rohban

Mohammad Hossein Rohban publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications and Topic Modeling.

ORCID 0000-0001-6589-850X OpenAlex
World rank
#505,205
of 7,710,434 ranked researchers
Rank in Iran
#2,360
of 71,317
Works
187
Citations
3.8k
Citations per work
20.4
h-index
23
i10-index 44Top 9.4% in Artificial Intelligence
Mohammad Hossein Rohban

What does Mohammad Hossein Rohban research?

Mohammad Hossein Rohban's work is mostly in Computer Science (45%), Biochemistry, Genetics and Molecular Biology (9%), Agricultural and Biological Sciences (3%).

Physical Sciences: 90 works · 47.9% of their workComputer Science: 85 works · 45.3% of their workArtificial Intelligence: 62 works · 33.1% of their workComputer Vision and Pattern Recognition: 23 works · 12.2% of their workEngineering: 5 works · 2.6% of their workMedia Technology: 5 works · 2.6% of their workEverything else: 73 works · 39.3% of their workLife Sciences: 24 works · 12.8% of their workBiochemistry, Genetics and Molecular Biology: 18 works · 9.4% of their workMolecular Biology: 9 works · 4.8% of their workBiophysics: 9 works · 4.6% of their workAgricultural and Biological Sciences: 6 works · 3.4% of their workPlant Science: 6 works · 3.4% of their workTHEIR WORKMohammad HosseinRohban187works
Life Sciences13%Physical Sciences48%

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 Science8545.3%
    2. Engineering52.6%
  2. Everything else7339.3%
    1. Biochemistry, Genetics and Molecular Biology189.4%
    2. Agricultural and Biological Sciences63.4%
  1. 1Artificial Intelligence33% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Molecular Biology5% of their works
  4. 4Biophysics5% of their works
  5. 5Plant Science3% of their works
  6. 6Media Technology3% of their works

Research topics

Which keywords describe Mohammad Hossein Rohban's research?

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

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. Neural Networks904 topics
  2. Deep Learning884 topics
  3. Machine Learning472 topics
  4. Adversarial Examples311 topic
  5. Robustness311 topic
  6. Anomaly Detection301 topic
  7. Unsupervised301 topic
  8. Machine Translation181 topic
  9. Word Representation181 topic
  10. Interpretable Models171 topic
  11. Machine Learning Interpretability171 topic
  12. Bioimage Analysis161 topic
  13. Domain Adaptation161 topic
  14. High-Content Screening161 topic
  15. Transfer Learning161 topic
  16. Multivariate Calibration121 topic
  17. Near-Infrared Spectroscopy121 topic
  18. Image Captioning111 topic
  19. Visual Question Answering111 topic

Where does Mohammad Hossein Rohban work?

Mohammad Hossein Rohban's main affiliation in the publication record is Sharif University of Technology, Iran.

How many publications and citations does Mohammad Hossein Rohban have?

OpenAlex counts 187 works and 3,816 citations for Mohammad Hossein Rohban, an h-index of 23, ranking #505,205 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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