Haval Tariq Sadeeq
Haval Tariq Sadeeq publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications and Advanced Multi-Objective Optimization Algorithms.
- World rank
- #2,192,051 of 7,710,434 ranked researchers
- Rank in Iraq
- #1,012 of 9,225
- Works
- 20
- Citations
- 384
- Citations per work
- 19.2
What does Haval Tariq Sadeeq research?
Haval Tariq Sadeeq's work is mostly in Computer Science (56%), Engineering (7%), Dentistry (6%).
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
- Physical Sciences1363.6%
- Computer Science1156.3%
- Engineering17.3%
- Everything else525.4%
- Health Sciences211.0%
- 1Artificial Intelligence34% of their works
- 2Computer Vision and Pattern Recognition13% of their works
- 3Computational Theory and Mathematics9% of their works
- 4Electrical and Electronic Engineering7% of their works
- 5Radiology, Nuclear Medicine and Imaging6% of their works
- 6Oral Surgery6% of their works
Research topics
Which keywords describe Haval Tariq Sadeeq's research?
The keywords of their largest research topics: Evolutionary Algorithms, Particle Swarm Optimization, Ant Colony Optimization, Differential Evolution, Multiobjective Optimization, Classification, Machine Learning and Feature Selection.
- Sampling-Based Algorithms
- MRI
- Convolutional Neural Networks
- COVID-19
- Dental Imaging
- Medical Imaging
- Surrogate Modeling
- Artificial Intelligence
- Feature Selection
- Classification
- Differential Evolution
- Particle Swarm Optimization
- Evolutionary Algorithms
- Ant Colony Optimization
- Multiobjective Optimization
- Machine Learning
- Genetic Programming
- Genetic Algorithm
- Deep Learning
- Cone-Beam CT
- Brain Tumor
- Chaos
- Image Encryption
- Optimal Motion Planning
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 24 words, with their numbers
- Evolutionary Algorithms223 topics
- Particle Swarm Optimization162 topics
- Ant Colony Optimization111 topic
- Differential Evolution111 topic
- Multiobjective Optimization112 topics
- Classification82 topics
- Machine Learning82 topics
- Feature Selection61 topic
- Genetic Programming61 topic
- Artificial Intelligence52 topics
- Genetic Algorithm51 topic
- Surrogate Modeling51 topic
- Deep Learning42 topics
- Medical Imaging42 topics
- Cone-Beam CT31 topic
- Dental Imaging31 topic
- Brain Tumor21 topic
- COVID-1921 topic
- Chaos21 topic
- Convolutional Neural Networks21 topic
- Image Encryption21 topic
- MRI21 topic
- Optimal Motion Planning21 topic
- Sampling-Based Algorithms21 topic
Where does Haval Tariq Sadeeq work?
Haval Tariq Sadeeq's main affiliation in the publication record is Duhok Polytechnic University, Iraq.
How many publications and citations does Haval Tariq Sadeeq have?
OpenAlex counts 20 works and 384 citations for Haval Tariq Sadeeq, an h-index of 10, ranking #2,192,051 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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