Abir Smiti
Abir Smiti publishes mostly in Artificial Intelligence, Information Systems and Signal Processing, on topics such as AI-based Problem Solving and Planning, Data Mining Algorithms and Applications and Advanced Clustering Algorithms Research.
- World rank
- #1,231,387 of 7,710,434 ranked researchers
- Rank in Tunisia
- #500 of 12,803
- Works
- 37
- Citations
- 966
- Citations per work
- 26.1
What does Abir Smiti research?
Abir Smiti's work is mostly in Computer Science (72%), Medicine (4%), Health Professions (3%).
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 Sciences2772.3%
- Computer Science2772.3%
- Everything else821.2%
- Health Sciences26.5%
- Medicine13.7%
- Health Professions12.8%
- 1Artificial Intelligence40% of their works
- 2Information Systems14% of their works
- 3Signal Processing9% of their works
- 4Computer Vision and Pattern Recognition9% of their works
- 5Radiology, Nuclear Medicine and Imaging4% of their works
- 6Health Information Management3% of their works
Research topics
- AI-based Problem Solving and Planning
- Data Mining Algorithms and Applications
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
- Software Engineering Research
- Data Management and Algorithms
- Brain Tumor Detection and Classification
- Explainable Artificial Intelligence (XAI)
Which keywords describe Abir Smiti's research?
The keywords of their largest research topics: Machine Learning, Heuristic Search, Planning Systems, Clustering Algorithms, High-Dimensional Data, Data Mining, Frequent Patterns and Deep Learning.
- Machine Learning Interpretability
- Interpretable Models
- Unsupervised
- Refactoring
- Code Clone Detection
- K-means
- Deep Learning
- Data Mining
- Clustering Algorithms
- Heuristic Search
- Machine Learning
- Planning Systems
- High-Dimensional Data
- Frequent Patterns
- Cluster Validation
- Anomaly Detection
- GPS Trajectories
- Trajectory Data Mining
- Brain Tumor
- MRI
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
- Machine Learning183 topics
- Heuristic Search121 topic
- Planning Systems121 topic
- Clustering Algorithms112 topics
- High-Dimensional Data112 topics
- Data Mining101 topic
- Frequent Patterns101 topic
- Deep Learning82 topics
- Cluster Validation61 topic
- K-means61 topic
- Anomaly Detection51 topic
- Code Clone Detection51 topic
- GPS Trajectories51 topic
- Refactoring51 topic
- Trajectory Data Mining51 topic
- Unsupervised51 topic
- Brain Tumor31 topic
- Interpretable Models31 topic
- MRI31 topic
- Machine Learning Interpretability31 topic
Where does Abir Smiti work?
Abir Smiti's main affiliation in the publication record is Institut Supérieur de Gestion de Tunis, Tunisia.
How many publications and citations does Abir Smiti have?
OpenAlex counts 37 works and 966 citations for Abir Smiti, an h-index of 12, ranking #1,231,387 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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