Mohamed Abdirahman Elmi
Mohamed Abdirahman Elmi publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Adversarial Robustness in Machine Learning, Advanced Neural Network Applications and Video Surveillance and Tracking Methods.
- World rank
- #4,210,997 of 7,710,434 ranked researchers
- Rank in Somalia
- #118 of 157
- Works
- 29
- Citations
- 130
- Citations per work
- 4.5
What does Mohamed Abdirahman Elmi research?
Mohamed Abdirahman Elmi's work is mostly in Computer Science (49%), Engineering (9%), Environmental Science (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 Sciences1863.7%
- Computer Science1449.4%
- Engineering39.1%
- Environmental Science25.2%
- Everything else1136.3%
- 1Artificial Intelligence20% of their works
- 2Information Systems16% of their works
- 3Computer Vision and Pattern Recognition14% of their works
- 4Global and Planetary Change5% of their works
- 5Electrical and Electronic Engineering5% of their works
- 6Media Technology4% of their works
Research topics
- Adversarial Robustness in Machine Learning
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- IoT and GPS-based Vehicle Safety Systems
- Vehicle License Plate Recognition
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Network Security and Intrusion Detection
Which keywords describe Mohamed Abdirahman Elmi's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Neural Networks, Anomaly Detection, Adversarial Examples, ALPR and Automatic License Plate Recognition.
- Outlier Detection
- Intrusion Detection
- Classification
- Smart Vehicle Safety
- Object Tracking
- IoT
- Automatic License Plate Recognition
- ALPR
- Neural Networks
- Convolutional Neural Networks
- Deep Learning
- Machine Learning
- Anomaly Detection
- Adversarial Examples
- Image Recognition
- Object Detection
- Robustness
- Visual Tracking
- Imbalanced Data
- Network Security
- Unsupervised
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
- Deep Learning197 topics
- Convolutional Neural Networks93 topics
- Machine Learning52 topics
- Neural Networks52 topics
- Anomaly Detection42 topics
- ALPR31 topic
- Adversarial Examples31 topic
- Automatic License Plate Recognition31 topic
- Image Recognition31 topic
- IoT31 topic
- Object Detection31 topic
- Object Tracking31 topic
- Robustness31 topic
- Smart Vehicle Safety31 topic
- Visual Tracking31 topic
- Classification21 topic
- Imbalanced Data21 topic
- Intrusion Detection21 topic
- Network Security21 topic
- Outlier Detection21 topic
- Unsupervised21 topic
Where does Mohamed Abdirahman Elmi work?
Mohamed Abdirahman Elmi's main affiliation in the publication record is SIMAD University, Somalia.
How many publications and citations does Mohamed Abdirahman Elmi have?
OpenAlex counts 29 works and 130 citations for Mohamed Abdirahman Elmi, an h-index of 6, ranking #4,210,997 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.
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