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Researcher · Queensland University of Technology · Australia

Kamal Berahmand

Kamal Berahmand publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, on topics such as Complex Network Analysis Techniques, Advanced Graph Neural Networks and Face and Expression Recognition.

ORCID 0000-0003-4459-0703 OpenAlex
World rank
#10,212
of 7,710,434 ranked researchers
Rank in Australia
#272
of 140,210
Works
85
Citations
4.4k
Citations per work
51.6
h-index
40
i10-index 55Top 2.1% in Artificial Intelligence
Kamal Berahmand

What does Kamal Berahmand research?

Kamal Berahmand's work is mostly in Computer Science (55%), Physics and Astronomy (16%), Biochemistry, Genetics and Molecular Biology (8%).

Physical Sciences: 60 works · 70.8% of their workComputer Science: 46 works · 54.7% of their workArtificial Intelligence: 28 works · 32.6% of their workComputer Vision and Pattern Recognition: 11 works · 13.0% of their workInformation Systems: 6 works · 6.5% of their workComputer Networks and Communications: 2 works · 2.6% of their workPhysics and Astronomy: 14 works · 16.1% of their workStatistical and Nonlinear Physics: 14 works · 16.1% of their workEverything else: 18 works · 20.9% of their workLife Sciences: 7 works · 8.3% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 8.3% of their workMolecular Biology: 7 works · 8.3% of their workTHEIR WORKKamal Berahmand85works
Life Sciences8%Physical Sciences71%

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 Science4654.7%
    2. Physics and Astronomy1416.1%
  2. Everything else1820.9%
    1. Biochemistry, Genetics and Molecular Biology78.3%
  1. 1Artificial Intelligence33% of their works
  2. 2Statistical and Nonlinear Physics16% of their works
  3. 3Computer Vision and Pattern Recognition13% of their works
  4. 4Molecular Biology8% of their works
  5. 5Information Systems6% of their works
  6. 6Computer Networks and Communications3% of their works

Research topics

Which keywords describe Kamal Berahmand's research?

The keywords of their largest research topics: Network Dynamics, Social Influence, Deep Learning, Community Structure, Scale-Free Networks, Graph Neural Networks, Knowledge Graph Embedding and Feature Selection.

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. Network Dynamics372 topics
  2. Social Influence372 topics
  3. Deep Learning342 topics
  4. Community Structure271 topic
  5. Scale-Free Networks271 topic
  6. Graph Neural Networks251 topic
  7. Knowledge Graph Embedding251 topic
  8. Feature Selection222 topics
  9. Dimensionality Reduction151 topic
  10. Face Recognition151 topic
  11. Bounded Confidence101 topic
  12. Clustering Algorithms101 topic
  13. K-means101 topic
  14. Opinion Dynamics101 topic
  15. Collaborative Filtering91 topic
  16. Gene Set Enrichment Analysis91 topic
  17. Matrix Factorization91 topic
  18. Protein-Protein Interaction Networks91 topic
  19. Multi-label Learning71 topic
  20. Text Classification71 topic

Where does Kamal Berahmand work?

Kamal Berahmand's main affiliation in the publication record is Queensland University of Technology, Australia.

How many publications and citations does Kamal Berahmand have?

OpenAlex counts 85 works and 4,389 citations for Kamal Berahmand, an h-index of 40, ranking #10,212 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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