Djalel Benbouzid
Djalel Benbouzid publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Safety Research, on topics such as Machine Learning and Algorithms, Explainable Artificial Intelligence (XAI) and Text and Document Classification Technologies.
- World rank
- #2,441,062 of 7,710,434 ranked researchers
- Rank in Germany
- #120,680 of 364,343
- Works
- 16
- Citations
- 285
- Citations per work
- 17.8
What does Djalel Benbouzid research?
Djalel Benbouzid's work is mostly in Computer Science (81%), Social Sciences (7%), Engineering (5%).
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 Sciences1485.8%
- Computer Science1381.0%
- Engineering14.8%
- Social Sciences29.5%
- Social Sciences17.1%
- Decision Sciences02.4%
- Everything else14.7%
- 1Artificial Intelligence62% of their works
- 2Computer Vision and Pattern Recognition17% of their works
- 3Safety Research7% of their works
- 4Control and Systems Engineering5% of their works
- 5Human-Computer Interaction2% of their works
- 6Information Systems and Management2% of their works
Research topics
- Machine Learning and Algorithms
- Explainable Artificial Intelligence (XAI)
- Text and Document Classification Technologies
- Ethics and Social Impacts of AI
- Evolutionary Algorithms and Applications
- Adversarial Robustness in Machine Learning
- Reinforcement Learning in Robotics
- Imbalanced Data Classification Techniques
Which keywords describe Djalel Benbouzid's research?
The keywords of their largest research topics: Machine Learning, Deep Learning, Feature Selection, Active Learning, Classification, Neural Networks, Semi-Supervised Learning and Ethics.
- Robustness
- Reinforcement Learning
- Genetic Programming
- Adversarial Examples
- Multi-label Learning
- Interpretable Models
- Ethics
- Neural Networks
- Active Learning
- Deep Learning
- Machine Learning
- Feature Selection
- Classification
- Semi-Supervised Learning
- Fairness
- Machine Learning Interpretability
- Text Classification
- Evolutionary Algorithms
- Imbalanced Data
- Robotics
- SMOTE
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
- Machine Learning114 topics
- Deep Learning83 topics
- Feature Selection52 topics
- Active Learning41 topic
- Classification42 topics
- Neural Networks42 topics
- Semi-Supervised Learning41 topic
- Ethics31 topic
- Fairness31 topic
- Interpretable Models31 topic
- Machine Learning Interpretability31 topic
- Multi-label Learning31 topic
- Text Classification31 topic
- Adversarial Examples21 topic
- Evolutionary Algorithms21 topic
- Genetic Programming21 topic
- Imbalanced Data21 topic
- Reinforcement Learning21 topic
- Robotics21 topic
- Robustness21 topic
- SMOTE21 topic
Where does Djalel Benbouzid work?
Djalel Benbouzid's main affiliation in the publication record is Volkswagen Group (Germany), Germany.
How many publications and citations does Djalel Benbouzid have?
OpenAlex counts 16 works and 285 citations for Djalel Benbouzid, an h-index of 9, ranking #2,441,062 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
Ask a question or share a note about Djalel Benbouzid. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.