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Researcher · Qom University of Technology · Iran

Razieh Torkamani

Razieh Torkamani publishes mostly in Artificial Intelligence, Computational Mechanics and Signal Processing, on topics such as Sparse and Compressive Sensing Techniques, Advanced Graph Neural Networks and Blind Source Separation Techniques.

ORCID 0000-0003-4848-1950 OpenAlex
World rank
#5,363,437
of 7,710,434 ranked researchers
Rank in Iran
#42,393
of 71,317
Works
17
Citations
80
Citations per work
4.7
h-index
6
i10-index 3Top 74% in Artificial Intelligence
Razieh Torkamani

What does Razieh Torkamani research?

Razieh Torkamani's work is mostly in Computer Science (51%), Engineering (29%), Physics and Astronomy (8%).

Physical Sciences: 15 works · 88.2% of their workComputer Science: 9 works · 51.0% of their workArtificial Intelligence: 5 works · 31.4% of their workSignal Processing: 2 works · 13.7% of their workComputer Networks and Communications: 1 works · 5.9% of their workEngineering: 5 works · 29.4% of their workComputational Mechanics: 3 works · 19.6% of their workBiomedical Engineering: 2 works · 9.8% of their workPhysics and Astronomy: 1 works · 7.8% of their workStatistical and Nonlinear Physics: 1 works · 7.8% of their workEverything else: 2 works · 11.8% of their workTHEIR WORKRazieh Torkamani17works
Physical Sciences88%

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 Science951.0%
    2. Engineering529.4%
    3. Physics and Astronomy17.8%
  2. Everything else211.8%
  1. 1Artificial Intelligence31% of their works
  2. 2Computational Mechanics20% of their works
  3. 3Signal Processing14% of their works
  4. 4Biomedical Engineering10% of their works
  5. 5Statistical and Nonlinear Physics8% of their works
  6. 6Computer Networks and Communications6% of their works

Research topics

Which keywords describe Razieh Torkamani's research?

The keywords of their largest research topics: Sparse Representation, Deep Learning, Compressed Sensing, Signal Recovery, Blind Separation, Graph Neural Networks, Independent Component Analysis and Knowledge Graph Embedding.

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 18 words, with their numbers
  1. Sparse Representation152 topics
  2. Deep Learning92 topics
  3. Compressed Sensing81 topic
  4. Signal Recovery81 topic
  5. Blind Separation71 topic
  6. Graph Neural Networks71 topic
  7. Independent Component Analysis71 topic
  8. Knowledge Graph Embedding71 topic
  9. Community Structure41 topic
  10. Network Dynamics41 topic
  11. Photoacoustic Imaging41 topic
  12. Tomography41 topic
  13. Bayesian Networks21 topic
  14. Causal Inference21 topic
  15. Neural Networks21 topic
  16. Neuromorphic Photonics21 topic
  17. Photonic Reservoir Computing21 topic
  18. Self-Organizing Maps21 topic

Where does Razieh Torkamani work?

Razieh Torkamani's main affiliation in the publication record is Qom University of Technology, Iran.

How many publications and citations does Razieh Torkamani have?

OpenAlex counts 17 works and 80 citations for Razieh Torkamani, an h-index of 6, ranking #5,363,437 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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