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Researcher · Paris-Est Sup · France

Amir Nakib

Amir Nakib publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, on topics such as Medical Image Segmentation Techniques, Metaheuristic Optimization Algorithms Research and Evolutionary Algorithms and Applications.

ORCID 0000-0001-9620-9324 OpenAlex
World rank
#4,855,744
of 7,710,434 ranked researchers
Rank in France
#204,598
of 324,115
Works
237
Citations
1.2k
Citations per work
4.9
h-index
18
i10-index 32Top 17% in Computer Vision and Pattern Recognition
Amir Nakib

What does Amir Nakib research?

Amir Nakib's work is mostly in Computer Science (56%), Engineering (15%).

Physical Sciences: 167 works · 70.5% of their workComputer Science: 132 works · 55.5% of their workComputer Vision and Pattern Recognition: 73 works · 31.0% of their workArtificial Intelligence: 44 works · 18.6% of their workComputer Networks and Communications: 14 works · 5.9% of their workEngineering: 36 works · 15.0% of their workElectrical and Electronic Engineering: 13 works · 5.5% of their workControl and Systems Engineering: 12 works · 5.0% of their workMedia Technology: 11 works · 4.5% of their workEverything else: 70 works · 29.5% of their workTHEIR WORKAmir Nakib237works
Physical Sciences70%

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 Science13255.5%
    2. Engineering3615.0%
  2. Everything else7029.5%
  1. 1Computer Vision and Pattern Recognition31% of their works
  2. 2Artificial Intelligence19% of their works
  3. 3Computer Networks and Communications6% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Control and Systems Engineering5% of their works
  6. 6Media Technology4% of their works

Research topics

Which keywords describe Amir Nakib's research?

The keywords of their largest research topics: Deep Learning, Evolutionary Algorithms, Image Segmentation, Medical Image Analysis, Particle Swarm Optimization, Multiobjective Optimization, Convolutional Neural Networks and Ant Colony Optimization.

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 Learning1305 topics
  2. Evolutionary Algorithms773 topics
  3. Image Segmentation601 topic
  4. Medical Image Analysis601 topic
  5. Particle Swarm Optimization532 topics
  6. Multiobjective Optimization442 topics
  7. Convolutional Neural Networks402 topics
  8. Ant Colony Optimization331 topic
  9. Differential Evolution331 topic
  10. Genetic Programming241 topic
  11. Image Recognition241 topic
  12. Machine Learning241 topic
  13. Object Detection241 topic
  14. Genetic Algorithm201 topic
  15. Surrogate Modeling201 topic
  16. Image Denoising161 topic
  17. Sparse Representations161 topic
  18. Feature Matching151 topic
  19. Local Descriptors151 topic
  20. Neural Networks151 topic
  21. Self-Organizing Maps151 topic

Where does Amir Nakib work?

Amir Nakib's main affiliation in the publication record is Paris-Est Sup, France.

How many publications and citations does Amir Nakib have?

OpenAlex counts 237 works and 1,170 citations for Amir Nakib, an h-index of 18, ranking #4,855,744 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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